Xinwei Lin

46 papers receiving 1.8k citations

Peers

Xinwei Lin
Comparison fields: 5 of 98
  • Endocrine and Autonomic Systems 652
  • Physiology 240
  • Aquatic Science 339
  • Reproductive Medicine 360
  • Endocrinology, Diabetes and Metabolism 316
Replace Nobuhiro Nakao with:
Nobuhiro Nakao Japan
Hitoshi Teranishi Japan
David Zambrano Argentina
Kazumasa Kurosumi Japan
Ching‐Wei Luo Taiwan
R. van den Hurk Netherlands
Rosemary R. Thresher United Kingdom
M. Terlou Netherlands
Claudia Pinelli Italy
Helge Klungland Norway
Xinwei Lin relative to Nobuhiro Nakao Japan Nobuhiro Nakao's profile →
Citations per field
00.5×2×3×4×4.6×
Nobuhiro Nakao · 1×
Citations per year

Countries citing papers authored by Xinwei Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Xinwei Lin Line = papers co-authored together Xinwei Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002211
2 2000210
3 2000184
4 1998123
5 1999121
6 199980
7 199965
8 199856
9 200148
10 199947
11 201542
12 200038
13 199838
14
Cloning and Expression Pattern of a Second
199736
15 202135
16 199934
17 199933
18 200232
19 202231
20 200230

About Xinwei Lin

Xinwei Lin is a scholar working on Reproductive Medicine, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Physiology, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Neuropeptides and Animal Physiology (9 papers), Hypothalamic control of reproductive hormones (8 papers), Neuroendocrine Tumor Research Advances (8 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers), Heat Transfer Mechanisms (4 papers), Estrogen and related hormone effects (4 papers) and Nanofluid Flow and Heat Transfer (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (652 citations), Physiology (240 citations), Aquatic Science (339 citations), Reproductive Medicine (360 citations) and Endocrinology, Diabetes and Metabolism (316 citations). Xinwei Lin has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Richard Ector Peter, Pierre Peyon, Yuwaraj K. Narnaware, Nicholas J. Bernier, P. Michael Conn, Jo Ann Janovick, Jean Rivier, Hélène Volkoff, Hiroyuki Kaiya and Laura A. Cervini. Their work appears in journals such as Endocrinology, Molecular and Cellular Endocrinology, General and Comparative Endocrinology, Canadian Journal of Physiology and Pharmacology 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.

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