Hank Lin

4 papers receiving 844 citations

Hit Papers

Generation and characterization of androgen receptor knockout (ARKO) mice: An in vivo model for the study of androgen functions in selective tissues 2002 · 534 citations
5340+8+16Years since publication100200300400500

Peers

Hank Lin
Comparison fields: 5 of 79
  • Reproductive Medicine 183
  • Endocrinology, Diabetes and Metabolism 174
  • Genetics 271
  • Cellular and Molecular Neuroscience 174
  • Molecular Biology 499
Replace S L Fitzpatrick with:
S L Fitzpatrick United States
Nathalie Allioli France
Anita K. Iyer United States
José Luis Montiel-Hernández Mexico
Peter Wend United States
Soazik P. Jamin France
Veronique Duke United Kingdom
Véronique Machelon France
Frances Benham United Kingdom
Saishu Yoshida Japan
Hank Lin relative to S L Fitzpatrick United States S L Fitzpatrick's profile →
Citations per field
00.5×3.8×
S L Fitzpatrick · 1×
Citations per year

Countries citing papers authored by Hank Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hank Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1
Generation and characterization of androgen receptor knockout (ARKO) mice: An in vivo model for the study of androgen functions in selective tissues
Hit paper breakdown →
2002534
2 2000253
3 200371
4 20201
5 20230

About Hank Lin

Hank Lin is a scholar working on Molecular Biology, Genetics, Surgery, Nephrology and Cellular and Molecular Neuroscience, having authored 5 papers that have together received 859 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (1 paper), Renal Diseases and Glomerulopathies (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Lymphatic System and Diseases (1 paper), Lysosomal Storage Disorders Research (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Sperm and Testicular Function (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Reproductive Medicine (183 citations), Endocrinology, Diabetes and Metabolism (174 citations), Genetics (271 citations), Cellular and Molecular Neuroscience (174 citations) and Molecular Biology (499 citations). Hank Lin has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include Hua‐Quan Miao, Percy Lee, Shay Söker, Michael Klagsbrun, Shuyuan Yeh, Chawnshang Chang, Mien‐Chie Hung, Brendan F. Boyce, Ko-En Huang and Xinchang Zhou. Their work appears in journals such as Scientific Reports, The FASEB Journal, Journal of the American Society of Nephrology, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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