Ryan Larson

43 papers receiving 1.6k citations

Peers

Ryan Larson
Comparison fields: 5 of 134
  • Immunology and Allergy 255
  • Dermatology 305
  • Immunology 527
  • Infectious Diseases 366
  • Epidemiology 281
Replace David Gould with:
David Gould United Kingdom
Min‐Geol Lee South Korea
Lynn K. Gordon United States
Martine Garcia France
Diana Whitaker United States
Stephanie H. Pincus United States
Nathalie Etchart France
Peter L. Smith United States
Robert J. Rossi United States
Patrick Branigan United States
Ryan Larson relative to David Gould United Kingdom David Gould's profile →
Citations per field
00.5×4.4×
David Gould · 1×
Citations per year

Countries citing papers authored by Ryan Larson

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013373
2 2010245
3 2013166
4 2016116
5 201597
6 201096
7 201081
8 201877
9 201358
10 201734
11 201325
12 200925
13 200124
14 201923
15 202220
16 200918
17 201714
18 201313
19 201913
20 202111

About Ryan Larson

Ryan Larson is a scholar working on Immunology, Sociology and Political Science, Oncology, Dermatology and Molecular Biology, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (12 papers), Biosimilars and Bioanalytical Methods (9 papers), Dermatology and Skin Diseases (8 papers), Criminal Justice and Corrections Analysis (6 papers), Allergic Rhinitis and Sensitization (5 papers), Homelessness and Social Issues (5 papers), Immune Cell Function and Interaction (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). The work is most often cited by research in Immunology and Allergy (255 citations), Dermatology (305 citations), Immunology (527 citations), Infectious Diseases (366 citations) and Epidemiology (281 citations). Ryan Larson has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Steven F. Ziegler, Kevin B. Urdahl, Raif S. Geha, Michiko K. Oyoshi, C.J. Cambier, Lalita Ramakrishnan, Rafael E. Hernandez, Kevin K. Takaki, Christine L. Cosma and David M. Tobin. Their work appears in journals such as Blood, The Journal of Immunology, Sociological Quarterly, Journal of Allergy and Clinical 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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