T. Lin

1.7k citations
48 papers · 1.5k indexed · h-index 22

Impact in

Papers in

T. Lin

48 papers receiving 1.4k citations

Peers

T. Lin
Comparison fields: 5 of 89
  • Reproductive Medicine 654
  • Endocrinology, Diabetes and Metabolism 738
  • Behavioral Neuroscience 98
  • Agronomy and Crop Science 131
  • Genetics 244
Replace J. HARRINGTON CALKINS with:
J. HARRINGTON CALKINS United States
Tu Lin United States
James R. Schreiber United States
D. C. Irby Australia
A. Nimrod Israel
D B Hales United States
R. De Hertogh Belgium
WALTER K. MORISHIGE United States
Jennifer C. Condon United States
Hsiang‐Tai Chao Taiwan
T. Lin relative to J. HARRINGTON CALKINS United States J. HARRINGTON CALKINS's profile →
Citations per field
00.5×
J. HARRINGTON CALKINS · 1×
Citations per year

Countries citing papers authored by T. Lin

Since Specialization
Citations

This map shows the geographic impact of T. 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 T. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Lin more than expected).

Fields of papers citing papers by T. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside T. 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 T. Lin Line = papers co-authored together T. Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200037
2 199835
3 199524
4 199235
5
Protective effect of schisanhenol against oxygen radical induced mitochondrial toxicity on rat heart and liver.
19925
6 199219
7 199115
8 199048
9 199052
10 198811
11 1988170
12 198845
13 198710
14 198719
15 198561
16 19824
17 19828
18 198212
19 198165
20 19792

About T. Lin

T. Lin is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Agronomy and Crop Science, Behavioral Neuroscience and Physiology, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (18 papers), Sperm and Testicular Function (17 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), Hypothalamic control of reproductive hormones (7 papers), Reproductive Physiology in Livestock (6 papers), Reproductive Biology and Fertility (5 papers), Birth, Development, and Health (5 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Reproductive Medicine (654 citations), Endocrinology, Diabetes and Metabolism (738 citations), Behavioral Neuroscience (98 citations), Agronomy and Crop Science (131 citations) and Genetics (244 citations). T. Lin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Joyce F. Haskell, Howard R. Nankin, Eisuke P. Murono, J. HARRINGTON CALKINS, Nancy Vinson, Louis Terracio, J. Osterman, M. Michael Sigel, Joyce Blaisdell and M L Nagpal. Their work appears in journals such as Endocrinology, Biochemical and Biophysical Research Communications, Steroids, European Journal of Endocrinology and Hormone and Metabolic Research.

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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