Ghent University Academic Bibliography

Your filters: cql: author="Wilson, Kirsten S." or (type any "bookEditor issueEditor" and editor="Wilson, Kirsten S.")

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Estrus monitoring in giant pandas revisited : the importance of assay selection

Tom Cools (UGent) , Kirsten S. Wilson, Catherine Vancsok, Baptiste Mulot, Antoine Leclerc, Marko Haapakoski, Jose Kok, W. Colin Duncan, Simon Girling, Yingmin Zhou, et al.

(2026) ANIMAL REPRODUCTION SCIENCE. 292.
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Non-invasive giant panda pregnancy and pseudopregnancy biomonitoring by integrated metabolomics and steroidomics

Tom Cools (UGent) , Kirsten S. Wilson, Desheng Li, Catherine Vancsok, Baptiste Mulot, Antoine Leclerc, José Kok, Marko Haapakoski, Mads F. Bertelsen, Florian Sicks, et al.

(2025) SCIENTIFIC REPORTS. 15(1).
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Development and validation of a versatile non-invasive urinary steroidomics method for wildlife biomonitoring

Tom Cools (UGent) , Kirsten S. Wilson, Desheng Li, Catherine Vancsok, Baptiste Mulot, Antoine Leclerc, José Kok, Marko Haapakoski, Mads F. Bertelsen, Andreas Ochs, et al.

(2024) TALANTA. 273.
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Pregnancy length and health in giant pandas : what can metabolic and urinary endocrine markers unveil?

Jella Wauters (UGent) , Kirsten S. Wilson, Tom Cools (UGent) , Catherine Vancsok, Tim Bouts, Baptiste Mulot, Antoine Leclerc, Marko Haapakoski, José Kok, Ragnar Kühne, et al.

(2023) THERIOGENOLOGY WILD. 3.
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Untargeted metabolomics reveals discriminative metabolic fingerprints in pregnant versus pseudo-pregnant giant pandas during the luteal phase

Tom Cools (UGent) , Desheng Li, Tim Bouts, Kirsten S. Wilson, Colin W. Duncan, Catherine Vancsok, Baptiste Mulot, Antoine Leclerc, José Kok, Heini Niinimäki, et al.

(2022) Benelux Metabolomics Days, Abstracts.
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Innovation in wildlife endocrinology : LA-REIMS metabolic fingerprinting for early pregnancy testing in giant pandas

Tom Cools (UGent) , Desheng Li, Vera Plekhova (UGent) , Tim Bouts, Kirsten S. Wilson, Catherine Vancsok, Baptiste Mulot, Antoine Leclerc, José Kok, Rengui Li, et al.

(2021) International Society of Wildlife Endocrinology, Virtual Event, Abstracts.
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Urinary estrogens as a non-invasive biomarker of viable pregnancy in the giant panda (Ailuropoda melanoleuca)

Kirsten S. Wilson, Jella Wauters (UGent) , Iain Valentines, Alan McNeilly, Simon Girlings, Rengui Li, Desheng Li, Hemin Zhang, Mick T. Rae, Forbes Howie, et al.

(2019) SCIENTIFIC REPORTS. 9.
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Urinary specific gravity as an alternative for the normalisation of endocrine metabolite concentrations in giant panda (Ailuropoda melanoleuca) reproductive monitoring

Jella Wauters (UGent) , Kirsten S. Wilson, Tim Bouts, Iain Valentine, Koen Vanderschueren, Cyrillus Ververs (UGent) , A. Forbes Howie, Mick T. Rae, Ann Van Soom (UGent) , Rengui Li, et al.

(2018) PLOS ONE. 13(7).

Academic Bibliography

Estrus monitoring in giant pandas revisited : the importance of assay selection

Non-invasive giant panda pregnancy and pseudopregnancy biomonitoring by integrated metabolomics and steroidomics

Development and validation of a versatile non-invasive urinary steroidomics method for wildlife biomonitoring

Pregnancy length and health in giant pandas : what can metabolic and urinary endocrine markers unveil?

Untargeted metabolomics reveals discriminative metabolic fingerprints in pregnant versus pseudo-pregnant giant pandas during the luteal phase

Innovation in wildlife endocrinology : LA-REIMS metabolic fingerprinting for early pregnancy testing in giant pandas

Urinary estrogens as a non-invasive biomarker of viable pregnancy in the giant panda (Ailuropoda melanoleuca)

Urinary specific gravity as an alternative for the normalisation of endocrine metabolite concentrations in giant panda (Ailuropoda melanoleuca) reproductive monitoring

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