Scott D. Boyd

18.6k citations
119 papers · 6.7k indexed · 2 hit papers · h-index 41

Scott D. Boyd

114 papers receiving 6.6k citations

Hit Papers

Identifying specificity groups in the T cell receptor rep...5952014202620182022100200300400500

Peers

Scott D. Boyd
Comparison fields: 5 of 143
  • Immunology and Allergy 938
  • Immunology 3.2k
  • Oncology 1.1k
  • Infectious Diseases 702
  • Radiology, Nuclear Medicine and Imaging 822
Replace Pierre Bruhns with:
Pierre Bruhns France
Thomas J. Waldschmidt United States
Akira Shibuya Japan
Jean‐Yves Bonnefoy France
Carol Clayberger United States
Zuhair K. Ballas United States
Michael Briskin United States
Periasamy Selvaraj United States
Francisco Lozano Spain
Eric J. Kunkel United States
Scott D. Boyd relative to Pierre Bruhns France Pierre Bruhns's profile →
Citations per field
00.5×1.5×1.9×
Pierre Bruhns · 1×
Citations per year

Countries citing papers authored by Scott D. Boyd

Since Specialization
Citations

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

Fields of papers citing papers by Scott D. Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202511
3 20238
4 20231
5 202349
6 202343
7 20227
8 202213
9 20229
10 202134
11 20211
12 202037
13 202072
14 202043
15 201944
16 201847
17 201823
18 201519
19 2010184
20 200751

About Scott D. Boyd

Scott D. Boyd is a scholar working on Immunology and Allergy, Immunology, Infectious Diseases, Virology and Modeling and Simulation, having authored 119 papers that have together received 6.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (27 papers), Immune Cell Function and Interaction (21 papers), Food Allergy and Anaphylaxis Research (21 papers), SARS-CoV-2 and COVID-19 Research (19 papers), COVID-19 Clinical Research Studies (16 papers), Allergic Rhinitis and Sensitization (12 papers), Immunotherapy and Immune Responses (12 papers) and Asthma and respiratory diseases (12 papers). The work is most often cited by research in Immunology and Allergy (938 citations), Immunology (3.2k citations), Oncology (1.1k citations), Infectious Diseases (702 citations) and Radiology, Nuclear Medicine and Imaging (822 citations). Scott D. Boyd has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Andrew Fire, Kari C. Nadeau, Tyler Jacks, Jacob Glanville, Katherine Jackson, Stephen J. Galli, Kenneth Y. Tsai, Arlene H. Sharpe, Anton Valouev and Mark M. Davis. Their work appears in journals such as Journal of Allergy and Clinical Immunology, The Journal of Immunology, Current Opinion in Immunology, Frontiers in Immunology and Proceedings of the National Academy of Sciences.

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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