Sam Li

58 papers receiving 4.6k citations

Sam Li's Hit Papers

NETs Are a Source of Citrullinated Autoantigens and Stimulate Inflammatory Responses in Rheumatoid Arthritis 2013 · 1.1k citations
1.1k0+9+18Years since publication2505007501000

Peers

Sam Li
Comparison fields: 5 of 148
  • Structural Biology 445
  • Virology 1.1k
  • Immunology 1.1k
  • Infectious Diseases 694
  • Surfaces, Coatings and Films 235
Replace Deborah Fass with:
Deborah Fass Israel
Stephen D. Fuller Germany
Jason Mercer United Kingdom
Bárbara Müller Germany
Stephen J. Stahl United States
Jay C. Brown United States
Guy Schoehn France
Kenneth H. Roux United States
Friedrich Frischknecht Germany
Ping Zhu China
Sam Li relative to Deborah Fass Israel Deborah Fass's profile →
Citations per field
00.5×1.5×2.2×
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 61 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 →
20131090
2
Assembly and Analysis of Conical Models for the HIV-1 Core
Hit paper breakdown →
1999568
3 2000417
4 1998301
5 2009264
6 2006162
7 2017159
8 2003146
9 2003129
10 2011122
11 2006114
12 2004112
13 2017108
14 201897
15 201594
16 201886
17 202070
18 200966
19 200849
20 201145

About Sam Li

Sam Li is a scholar working on Molecular Biology, Cell Biology, Immunology, Structural Biology and Genetics, having authored 61 papers that have together received 4.7k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (9 papers), Advanced Electron Microscopy Techniques and Applications (9 papers), Protist diversity and phylogeny (6 papers), Electron and X-Ray Spectroscopy Techniques (5 papers), HIV Research and Treatment (5 papers), Genetic and Kidney Cyst Diseases (4 papers), Advanced X-ray Imaging Techniques (4 papers) and Psoriasis: Treatment and Pathogenesis (3 papers). The work is most often cited by research in Structural Biology (445 citations), Virology (1.1k citations), Immunology (1.1k citations), Infectious Diseases (694 citations) and Surfaces, Coatings and Films (235 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, Ritika Khandpur, Jason S. Knight, Sean C. Friday and Carmelo Carmona‐Rivera. Their work appears in journals such as Journal of Structural Biology, The EMBO Journal, Molecular Biology of the Cell, Molecules and The Journal of Cell Biology.

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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