Shawn D. Blackburn

4.3k citations
12 papers · 3.4k indexed · 1 hit paper · h-index 12
  • Immunology top 0.5%
    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 6
    • Immunotherapy and Immune Responses 5
  • Oncology top 2%
    • CAR-T cell therapy research 2
  • Virology top 5%
    • HIV Research and Treatment 1
  • Hepatology top 5%
    • Virus-based gene therapy research 3
    • Parvovirus B19 Infection Studies 2
    • Viral gastroenteritis research and epidemiology 1

Shawn D. Blackburn

12 papers receiving 3.4k citations

Hit Papers

Coregulation of CD8+ T cell exhaustion by multiple inhibi...1.6k200820262014202050010001.5k

Peers

Shawn D. Blackburn
Comparison fields: 5 of 92
  • Immunology 2.7k
  • Oncology 1.5k
  • Virology 211
  • Hepatology 196
  • Epidemiology 562
Replace Vivien Béziat with:
Vivien Béziat France
Matthias Schiemann Germany
Burton E. Barnett United States
Joyce T. Tan United States
Alessandro Borsatti Italy
Andrzej Dzionek Germany
Paul A. Baars Netherlands
Pierre Garrone France
Smina Aït‐Yahia France
Mohamed S. Abdel-Hakeem Egypt
Shawn D. Blackburn relative to Vivien Béziat France Vivien Béziat's profile →
Citations per field
00.5×1.5×2.4×
Vivien Béziat · 1×
Citations per year

Countries citing papers authored by Shawn D. Blackburn

Since Specialization
Citations

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

Fields of papers citing papers by Shawn D. Blackburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn D. Blackburn. 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 Shawn D. Blackburn. The network helps show where Shawn D. Blackburn may publish in the future.

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 2012217
2 201259
3 2011138
4 2009377
5 2009103
6
Coregulation of CD8+ T cell exhaustion by multiple inhibitory receptors during chronic viral infectionbreakdown →
20081599
7 2008456
8 2007186
9 2007208
10 200538
11 200518
12 200424

About Shawn D. Blackburn

Shawn D. Blackburn is a scholar working on Immunology, Virology and Infectious Diseases, having authored 12 papers that have together received 3.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (5 papers), Virus-based gene therapy research (3 papers), CAR-T cell therapy research (2 papers), Parvovirus B19 Infection Studies (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Immunology (2.7k citations), Oncology (1.5k citations) and Virology (211 citations). Shawn D. Blackburn has collaborated with scholars based in United States. Frequent co-authors include E. John Wherry, Haina Shin, Gordon J. Freeman, Antonio Polley, Michael R. Betts, W. Nicholas Haining, Tao Zou, Creg J. Workman, Dario A.A. Vignali and Jill Angelosanto.

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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