Samuel A. Williams

3.1k citations
20 papers · 2.0k indexed · h-index 15

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 10
    • Immune Cell Function and Interaction 5

Samuel A. Williams

20 papers receiving 2.0k citations

Peers

Samuel A. Williams
Comparison fields: 5 of 94
  • Virology 973
  • Infectious Diseases 592
  • Immunology 642
  • Cancer Research 295
  • Molecular Biology 881
Replace Rosemary Kiernan with:
Rosemary Kiernan France
Michael K. Kießling Switzerland
Catherine Spenlehauer France
René Daniel United States
Nanhai He United States
Michael O. Westendorp Germany
Eng‐Shang Huang United States
Sabine Druillennec France
Caili Hao United States
Samuel A. Williams relative to Rosemary Kiernan France Rosemary Kiernan's profile →
Citations per field
00.5×1.5×
Rosemary Kiernan · 1×
Citations per year

Countries citing papers authored by Samuel A. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Samuel A. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel A. Williams. 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 Samuel A. Williams. The network helps show where Samuel A. Williams may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20219
2 20211
3 202015
4 201717
5 20162
6 20151
7 2013142
8 2011211
9 200793
10 2007119
11 200686
12 2005377
13 200539
14 200595
15 2005372
16 2004259
17 200337
18 200228
19 200275
20 19985

About Samuel A. Williams

Samuel A. Williams is a scholar working on Virology, Immunology, Infectious Diseases, Cancer Research and Oncology, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), Immune Cell Function and Interaction (5 papers), HIV/AIDS drug development and treatment (5 papers), NF-κB Signaling Pathways (2 papers), Herpesvirus Infections and Treatments (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), HIV/AIDS Research and Interventions (1 paper) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Virology (973 citations), Infectious Diseases (592 citations), Immunology (642 citations), Cancer Research (295 citations) and Molecular Biology (881 citations). Samuel A. Williams has collaborated with scholars based in United States, Slovakia and United Kingdom. Frequent co-authors include Warner C. Greene, Lin‐Feng Chen, Hakju Kwon, Eric Verdin, Carmen M. Ruiz-Jarabo, Hiroyasu Nakano, James M. Duerr, Leonard Buckbinder, Yajun Mu and David Fenard. Their work appears in journals such as Journal of Virology, Molecular and Cellular Biology, Bioorganic & Medicinal Chemistry Letters, Cell and DNA and 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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