Steven Friedman

7.5k citations
169 papers · 4.8k · h-index 38

Impact in

  • Immunology top 1%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Urban Transport and Accessibility

Papers in

Steven Friedman

158 papers receiving 4.4k citations

Peers

Steven Friedman
Comparison fields: 5 of 183
  • Immunology 1.6k
  • Transportation 446
  • Safety, Risk, Reliability and Quality 362
  • Immunology and Allergy 184
  • Rheumatology 405
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Lesley Murray United Kingdom
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Diana Chen United States
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Citations per field
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Citations per year

Countries citing papers authored by Steven Friedman

Since Specialization
Citations

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

Fields of papers citing papers by Steven Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995256
2 2012249
3 1995239
4 1994176
5 1997135
6 2013123
7 1991122
8 2007119
9 1969119
10 1995111
11 2005105
12 201193
13 201291
14 200891
15 198886
16 200184
17 200582
18 198678
19 200974
20 199869

About Steven Friedman

Steven Friedman is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health, Oncology and Molecular Biology, having authored 169 papers that have together received 4.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (36 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), Immune Cell Function and Interaction (19 papers), Immunotherapy and Immune Responses (13 papers), Injury Epidemiology and Prevention (11 papers), South African History and Culture (6 papers), Streptococcal Infections and Treatments (4 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Immunology (1.6k citations), Transportation (446 citations), Safety, Risk, Reliability and Quality (362 citations), Immunology and Allergy (184 citations) and Rheumatology (405 citations). Steven Friedman has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Mary K. Crow, Joseph R. Tumang, David N. Posnett, Elaine J. Schattner, Keith B. Elkon, Shauna Mottiar, Peggy Scherle, Meghan Winters, Robert Newton and Dae‐Hyun Yoo. Their work appears in journals such as The Journal of Immunology, Canadian Journal of Emergency Medicine, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences and Blood.

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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