Xinwei Lin
- Physiology top 0.5%
- Reproductive biology and impacts on aquatic species 11
- Reproductive Medicine top 1%
- Hypothalamic control of reproductive hormones 12
- Aquatic Science top 1%
- Aquaculture Nutrition and Growth 4
-
- Receptor Mechanisms and Signaling 13
-
- Neuropeptides and Animal Physiology 11
-
- Neuroendocrine Tumor Research Advances 8
-
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 6
-
- Nanofluid Flow and Heat Transfer 4
- Co-authors
- Richard PeterPierre PeyonYuwaraj K. NarnawareNicholas J. BernierP. Michael ConnJo Ann JanovickHao-Ren LinHélène Volkoff
- Journals
- General and Comparative Endocrinology (8 papers)Endocrinology (6 papers)Molecular and Cellular Endocrinology (4 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Xinwei Lin
54 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 99
- Endocrine and Autonomic Systems 686
- Physiology 377
- Reproductive Medicine 542
- Aquatic Science 366
- Endocrinology, Diabetes and Metabolism 388
Countries citing papers authored by Xinwei Lin
This map shows the geographic impact of Xinwei Lin'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 Xinwei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinwei Lin more than expected).
Fields of papers citing papers by Xinwei Lin
This network shows the impact of papers produced by Xinwei Lin. 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 Xinwei Lin. The network helps show where Xinwei Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xinwei Lin, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 24 | |
| 6 | 2023 | 14 | |
| 7 | 2002 | 29 | |
| 8 | 2000 | 205 | |
| 9 | 1999 | 33 | |
| 10 | 1999 | 46 | |
| 11 | 1999 | 13 | |
| 12 | 1999 | 75 | |
| 13 | 1998 | 118 | |
| 14 | 1998 | 51 | |
| 15 | 1998 | 70 | |
| 16 | 1997 | 23 | |
| 17 | 1996 | 79 | |
| 18 | 1994 | 8 | |
| 19 | 1993 | 24 | |
| 20 | 1993 | 69 |
About Xinwei Lin
Xinwei Lin is a scholar working on Physiology, Reproductive Medicine, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 57 papers that have together received 2.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Hypothalamic control of reproductive hormones (12 papers), Neuropeptides and Animal Physiology (11 papers), Reproductive biology and impacts on aquatic species (11 papers), Neuroendocrine Tumor Research Advances (8 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers), Aquaculture Nutrition and Growth (4 papers) and Nanofluid Flow and Heat Transfer (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (686 citations), Physiology (377 citations), Reproductive Medicine (542 citations), Aquatic Science (366 citations) and Endocrinology, Diabetes and Metabolism (388 citations). Xinwei Lin has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Richard Peter, Pierre Peyon, Yuwaraj K. Narnaware, Nicholas J. Bernier, P. Michael Conn, Jo Ann Janovick, Hao-Ren Lin, Hélène Volkoff, Jean Rivier and Hiroyuki Kaiya. Their work appears in journals such as General and Comparative Endocrinology, Endocrinology, Molecular and Cellular Endocrinology, Peptides and Neuroendocrinology.
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.