Sam Li

52 papers receiving 4.1k citations

Hit Papers

NETs Are a Source of Citrullinated Autoantigens and Stimulate Inflammatory Responses in Rheumatoid Arthritis 2013 · 1.0k citations
1.0k19992026200820172505007501000

Peers

Sam Li
Comparison fields: 5 of 149
  • Structural Biology 390
  • Virology 828
  • Immunology 1.1k
  • Infectious Diseases 580
  • Surfaces, Coatings and Films 208
Replace Deborah Fass with:
Deborah Fass Israel
Stephen D. Fuller Germany
Stephen J. Stahl United States
Alessandra Cambi Netherlands
Guy Schoehn France
Phoebe L. Stewart United States
Kenneth H. Roux United States
Bárbara Müller Germany
R. Holland Cheng United States
Z. Hong Zhou United States
Sam Li relative to Deborah Fass Israel Deborah Fass's profile →
Citations per field
00.5×1.5×2.1×
Deborah Fass · 1×
Citations per year

Countries citing papers authored by Sam Li

Since Specialization
Citations

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

Fields of papers citing papers by Sam Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NETs Are a Source of Citrullinated Autoantigens and Stimulate Inflammatory Responses in Rheumatoid Arthritis
Hit paper breakdown →
20131045
2
Assembly and Analysis of Conical Models for the HIV-1 Core
Hit paper breakdown →
1999556
3 2000408
4 2009254
5 2017151
6 2006146
7 2003131
8 2003128
9 2011116
10 2006112
11 2017103
12 2004103
13 201593
14 201891
15 201881
16 202065
17 200964
18 200847
19 199643
20 201143

About Sam Li

Sam Li is a scholar working on Structural Biology, Health Informatics, Virology, Surfaces, Coatings and Films and Cell Biology, having authored 58 papers that have together received 4.2k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (9 papers), Advanced Electron Microscopy Techniques and Applications (8 papers), Protist diversity and phylogeny (6 papers), Dermatology and Skin Diseases (5 papers), Electron and X-Ray Spectroscopy Techniques (5 papers), Genetic and Kidney Cyst Diseases (4 papers), HIV Research and Treatment (4 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). The work is most often cited by research in Structural Biology (390 citations), Virology (828 citations), Immunology (1.1k citations), Infectious Diseases (580 citations) and Surfaces, Coatings and Films (208 citations). Sam Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Wesley I. Sundquist, J.T. Finch, José‐Jesús Fernández, Christopher P. Hill, David A. Agard, Srilakshmi Yalavarthi, Paul R. Thompson, Pojen Chen, Carmelo Carmona‐Rivera and Subramaniam Pennathur. Their work appears in journals such as Journal of Structural Biology, Molecular Biology of the Cell, The EMBO Journal, Nature and Molecules.

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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