Wen-Xia Gu
Impact in
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones
-
- Hormonal Regulation and Hypertension
- Adrenal Hormones and Disorders
- Thyroid Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
Papers in
-
- Sexual Differentiation and Disorders 4
- Genetics 5
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
- Estrogen and related hormone effects 2
- Co-authors
- J. Larry Jameson (8 shared papers)John C. Achermann (3 shared papers)Catherine Owen (1 shared paper)Lin Lin (1 shared paper)Gökhan Özışık (1 shared paper)Reema L. Habiby (2 shared papers)Brian L. West (1 shared paper)Tetsuya Tagami (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (4 papers)Molecular Genetics and Metabolism (2 papers)Molecular Endocrinology (1 paper)Endocrinology (1 paper)American Journal of Medical Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Wen-Xia Gu
9 papers receiving 508 citations
Peers
Comparison fields: 5 of 46
- Reproductive Medicine 129
- Endocrinology, Diabetes and Metabolism 248
- Genetics 311
- Molecular Biology 365
- Urology 25
Countries citing papers authored by Wen-Xia Gu
This map shows the geographic impact of Wen-Xia Gu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wen-Xia Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen-Xia Gu more than expected).
Fields of papers citing papers by Wen-Xia Gu
This network shows the impact of papers produced by Wen-Xia Gu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wen-Xia Gu. The network helps show where Wen-Xia Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen-Xia Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 138 | |
| 2 | 1999 | 127 | |
| 3 | 1998 | 77 | |
| 4 | 1999 | 60 | |
| 5 | 2005 | 34 | |
| 6 | 2001 | 24 | |
| 7 | 2000 | 20 | |
| 8 | 1999 | 19 | |
| 9 | 1998 | 19 |
About Wen-Xia Gu
Wen-Xia Gu is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Urology, having authored 9 papers that have together received 518 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Thyroid Disorders and Treatments (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Estrogen and related hormone effects (2 papers), Hypothalamic control of reproductive hormones (2 papers), Urological Disorders and Treatments (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Reproductive Medicine (129 citations), Endocrinology, Diabetes and Metabolism (248 citations), Genetics (311 citations), Molecular Biology (365 citations) and Urology (25 citations). Wen-Xia Gu has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include J. Larry Jameson, John C. Achermann, Catherine Owen, Lin Lin, Gökhan Özışık, Reema L. Habiby, Brian L. West, Tetsuya Tagami, Patricia A. Donohoue and Anne T. Reutens. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Molecular Genetics and Metabolism, Molecular Endocrinology, Endocrinology and American Journal of Medical Genetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.