Steven Lin

62 papers receiving 9.6k citations

Hit Papers

Generation of knock-in primary human T cells using Cas9 ribonucleoproteins 2015 · 533 citations
533199820262007201650010001.5k

Peers

Steven Lin
Comparison fields: 5 of 146
  • Business and International Management 617
  • Aging 534
  • Virology 945
  • Molecular Biology 7.1k
  • Immunology 1.6k
Replace Luke A. Gilbert with:
Luke A. Gilbert United States
Hiroshi Nishimasu Japan
Jacob E. Corn United States
Matthew H. Larson United States
Gregory J. Cost United States
Aneel K. Aggarwal United States
Nikola P. Pavletich United States
Gabriel C. Lander United States
James E. Haber United States
Thoru Pederson United States
Steven Lin relative to Luke A. Gilbert United States Luke A. Gilbert's profile →
Citations per field
00.5×4.7×
Luke A. Gilbert · 1×
Citations per year

Countries citing papers authored by Steven Lin

Since Specialization
Citations

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

Fields of papers citing papers by Steven Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20223
3 202252
4 20215
5 202014
6 202056
7
Visual Reinforcement Learning with Imagined Goals
201838
8 201752
9 201712
10
Generation of knock-in primary human T cells using Cas9 ribonucleoproteins
Hit paper breakdown →
2015533
11
Structures of Cas9 Endonucleases Reveal RNA-Mediated Conformational Activation
Hit paper breakdown →
2014900
12 2013149
13 2011111
14 2010175
15 20081
16 200585
17 200567
18 20009
19 1999162
20 198978

About Steven Lin

Steven Lin is a scholar working on Virology, Aging, Health Informatics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 64 papers that have together received 9.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (15 papers), Photoreceptor and optogenetics research (12 papers), Biotin and Related Studies (7 papers), RNA and protein synthesis mechanisms (7 papers), HIV Research and Treatment (7 papers), Immune Cell Function and Interaction (7 papers), Click Chemistry and Applications (6 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Business and International Management (617 citations), Aging (534 citations), Virology (945 citations), Molecular Biology (7.1k citations) and Immunology (1.6k citations). Steven Lin has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Jennifer A. Doudna, Enbo Ma, Martin Jínek, Thomas P. Sakmar, Alexandra East, Aaron Cheng, Richard A. Mathies, Brett T. Staahl, Ravi Alla and John P. Guilinger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, International Journal of Molecular Sciences, Biochemistry and Nature Communications.

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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