Li‐Te Lin

1.8k citations
68 papers · 1.1k · h-index 22

Impact in

Papers in

Li‐Te Lin

66 papers receiving 1.1k citations

Peers

Li‐Te Lin
Comparison fields: 5 of 95
  • Reproductive Medicine 412
  • Aging 46
  • Obstetrics and Gynecology 179
  • Public Health, Environmental and Occupational Health 405
  • Cancer Research 173
Replace Chak‐Lam Cho with:
Chak‐Lam Cho China
Yanmin Ma China
Zhiqi Wang China
Ashraf Aleyasin Iran
Marta Włodarczyk Poland
Hamid‐Reza Kohan‐Ghadr United States
Yaqiong He China
Ratana Lim Australia
Micheline C. Chu United States
Li‐Te Lin relative to Chak‐Lam Cho China Chak‐Lam Cho's profile →
Citations per field
00.5×4.7×
Chak‐Lam Cho · 1×
Citations per year

Countries citing papers authored by Li‐Te Lin

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Te Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201994
2 201753
3 201745
4 202145
5 201939
6 201939
7 202238
8 202336
9 201836
10 202032
11 202231
12 201429
13 201528
14 201828
15 201727
16 201626
17 201826
18 202126
19 201824
20 201422

About Li‐Te Lin

Li‐Te Lin is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (26 papers), Ovarian function and disorders (22 papers), Sperm and Testicular Function (10 papers), Pregnancy and preeclampsia studies (9 papers), Birth, Development, and Health (8 papers), Endometriosis Research and Treatment (7 papers), Reproductive System and Pregnancy (6 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). The work is most often cited by research in Reproductive Medicine (412 citations), Aging (46 citations), Obstetrics and Gynecology (179 citations), Public Health, Environmental and Occupational Health (405 citations) and Cancer Research (173 citations). Li‐Te Lin has collaborated with scholars based in Taiwan, Italy and Mexico. Frequent co-authors include Kuan‐Hao Tsui, Chia‐Jung Li, Zhi‐Hong Wen, Peng‐Hui Wang, Hsiao‐Wen Tsai, San‐Nung Chen, Chyi-Uei Chern, Jiin‐Tsuey Cheng, Renin Chang and Pei‐Yi Chu. Their work appears in journals such as Reproductive Biology and Endocrinology, Nutrients, Journal of Personalized Medicine, Journal of Clinical Medicine and Medicine.

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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