Li‐Te Lin

1.8k citations
71 papers · 1.2k · h-index 22

Impact in

Papers in

Li‐Te Lin

70 papers receiving 1.2k citations

Peers

Li‐Te Lin
Comparison fields: 5 of 92
  • Reproductive Medicine 363
  • Aging 43
  • Obstetrics and Gynecology 140
  • Public Health, Environmental and Occupational Health 313
  • Cancer Research 154
Replace Marta Włodarczyk with:
Marta Włodarczyk Poland
Hamid‐Reza Kohan‐Ghadr United States
Chaoqin Yu China
Ratana Lim Australia
Yuanjie Xie China
Micheline C. Chu United States
Mili Thakur United States
Qiannan Li China
Roohi Jeelani United States
Li‐Te Lin relative to Marta Włodarczyk Poland Marta Włodarczyk's profile →
Citations per field
00.5×6.1×
Marta Włodarczyk · 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 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201998
2 201753
3 202149
4 201745
5 202243
6 201941
7 201940
8 201837
9 202337
10 202032
11 202231
12 201530
13 201430
14 202129
15 201828
16 201828
17 201627
18 201727
19 201826
20 202024

About Li‐Te Lin

Li‐Te Lin is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Obstetrics and Gynecology, Molecular Biology and Cancer Research, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ovarian function and disorders (19 papers), Reproductive Biology and Fertility (18 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Endometriosis Research and Treatment (5 papers), Pregnancy and preeclampsia studies (5 papers), Sperm and Testicular Function (5 papers), Birth, Development, and Health (5 papers) and Hormonal and reproductive studies (4 papers). The work is most often cited by research in Reproductive Medicine (363 citations), Aging (43 citations), Obstetrics and Gynecology (140 citations), Public Health, Environmental and Occupational Health (313 citations) and Cancer Research (154 citations). Li‐Te Lin has collaborated with scholars based in Taiwan, Italy and United States. 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 Medicine, Reproductive Biology and Endocrinology, Nutrients, Journal of Clinical Medicine and Journal of Personalized 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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