Hank Lin

1.1k total citations · 1 hit paper
5 papers, 859 citations indexed

About

Hank Lin is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Hank Lin has authored 5 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Surgery. Recurrent topics in Hank Lin's work include Hormonal and reproductive studies (1 paper), Autophagy in Disease and Therapy (1 paper) and Estrogen and related hormone effects (1 paper). Hank Lin is often cited by papers focused on Hormonal and reproductive studies (1 paper), Autophagy in Disease and Therapy (1 paper) and Estrogen and related hormone effects (1 paper). Hank Lin collaborates with scholars based in United States, Switzerland and China. Hank Lin's co-authors include Hua‐Quan Miao, Shay Söker, Michael Klagsbrun, Percy Lee, Chawnshang Chang, Shuyuan Yeh, Shauh-Der Yeh, Lin Gan, Saleh Altuwaijri and Henry A. Lardy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Scientific Reports.

In The Last Decade

Hank Lin

4 papers receiving 844 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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 Shuyuan Yeh, Qingquan Xu et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hank Lin United States	3	499	271	183	174	174	5	859
Nathalie Allioli France	14	540 1.1×	154 0.6×	131 0.7×	30 0.2×	138 0.8×	19	926
S L Fitzpatrick United States	11	717 1.4×	497 1.8×	179 1.0×	95 0.5×	178 1.0×	11	1.4k
Marta González Spain	16	228 0.5×	119 0.4×	211 1.2×	41 0.2×	63 0.4×	25	726
Marja Hietala Finland	17	485 1.0×	245 0.9×	31 0.2×	180 1.0×	28 0.2×	37	918
Rodrigo Fernandez‐Valdivia United States	16	562 1.1×	331 1.2×	224 1.2×	38 0.2×	31 0.2×	25	1.1k
Anita K. Iyer United States	11	264 0.5×	198 0.7×	87 0.5×	39 0.2×	57 0.3×	15	467
Peter Wend United States	10	874 1.8×	159 0.6×	33 0.2×	71 0.4×	54 0.3×	11	1.2k
Frances Benham United Kingdom	17	648 1.3×	370 1.4×	40 0.2×	34 0.2×	171 1.0×	35	1.1k
Alan Lap‐Yin Pang United States	15	349 0.7×	133 0.5×	100 0.5×	29 0.2×	33 0.2×	19	599
Saishu Yoshida Japan	18	645 1.3×	129 0.5×	19 0.1×	66 0.4×	368 2.1×	80	1.1k

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-authorship network of co-authors of Hank Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Hank Lin. A scholar is included among the top collaborators of Hank Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hank Lin. Hank Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Ju, Wang, Agustin Casimiro‐Garcia, Bryce G. Johnson, et al.. (2023). A protein kinase C α and β inhibitor blunts hyperphagia to halt renal function decline and reduces adiposity in a rat model of obesity-driven type 2 diabetes. Scientific Reports. 13(1). 16919–16919.

2.

Berasi, Stephen P., Janet E. Buhlmann, Matthew V. Russo, et al.. (2020). A ROBO2 Fusion Protein (PF-06730512) Traps SLIT Ligands and Therapeutically Ameliorates Podocyte Injury. Journal of the American Society of Nephrology. 31(10S). 25–25. 1 indexed citations

3.

Hsu, Cheng-Lung, Yuh-Ling Chen, Shuyuan Yeh, et al.. (2003). The Use of Phage Display Technique for the Isolation of Androgen Receptor Interacting Peptides with (F/W)XXL(F/W) and FXXLY New Signature Motifs. Journal of Biological Chemistry. 278(26). 23691–23698. 71 indexed citations

4.

Yeh, Shuyuan, Qingquan Xu, Henry A. Lardy, et al.. (2002). Generation and characterization of androgen receptor knockout (ARKO) mice: An in vivo model for the study of androgen functions in selective tissues. Proceedings of the National Academy of Sciences. 99(21). 13498–13503. 534 indexed citations breakdown →

5.

Miao, Hua‐Quan, Percy Lee, Hank Lin, Shay Söker, & Michael Klagsbrun. (2000). Neuropilin‐1 expression by tumor cells promotes tumor angiogenesis and progression. The FASEB Journal. 14(15). 2532–2539. 253 indexed citations

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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