Tu Lin

1.2k citations
30 papers · 1.0k indexed · h-index 21

Impact in

Papers in

Tu Lin

30 papers receiving 1.0k citations

Peers

Tu Lin
Comparison fields: 5 of 89
  • Reproductive Medicine 355
  • Endocrinology, Diabetes and Metabolism 365
  • Behavioral Neuroscience 48
  • Agronomy and Crop Science 102
  • Immunology 161
Replace D B Hales with:
D B Hales United States
T. Lin United States
S.B. Cigorraga Argentina
R. Medhamurthy India
Mauri Orava Finland
D. C. Irby Australia
Irene Cooper United Kingdom
C. Bellido Spain
I.F. Lau United States
Tom O. Abney United States
Tu Lin relative to D B Hales United States D B Hales's profile →
Citations per field
00.5×1.5×
D B Hales · 1×
Citations per year

Countries citing papers authored by Tu Lin

Since Specialization
Citations

This map shows the geographic impact of Tu 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 Tu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tu Lin more than expected).

Fields of papers citing papers by Tu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tu 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 Tu Lin. The network helps show where Tu Lin may publish in the future.

Co-authors

The 24 scholars most cited alongside Tu 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 Tu Lin Line = papers co-authored together Tu Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989120
2 199182
3 199065
4 200757
5 199056
6 199856
7 198147
8
Gossypol inhibits testicular steroidogenesis.
198146
9 198543
10 198642
11 199841
12 199140
13 200635
14 199335
15 199134
16 199531
17 198027
18 199425
19 198025
20 198422

About Tu Lin

Tu Lin is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Molecular Biology, Genetics and Immunology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (7 papers), Sperm and Testicular Function (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Estrogen and related hormone effects (6 papers), Reproductive Physiology in Livestock (5 papers), Immune Response and Inflammation (5 papers), Reproductive Biology and Fertility (4 papers) and Hypothalamic control of reproductive hormones (3 papers). The work is most often cited by research in Reproductive Medicine (355 citations), Endocrinology, Diabetes and Metabolism (365 citations), Behavioral Neuroscience (48 citations), Agronomy and Crop Science (102 citations) and Immunology (161 citations). Tu Lin has collaborated with scholars based in United States, China and British Virgin Islands. Frequent co-authors include Madan L. Nagpal, J. HARRINGTON CALKINS, Juraj Osterman, Howard R. Nankin, Douglas M. Stocco, Eisuke P. Murono, Weiwei Chang, Deli Wang, Deli Wang and Jianxin Hu. Their work appears in journals such as Endocrinology, Journal of Andrology, Molecular and Cellular Endocrinology, Life Sciences and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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