Steven D. Levin

8.9k citations
52 papers · 7.7k · 1 hit paper · h-index 33

Impact in

Papers in

    • T-cell and B-cell Immunology 25
    • Immune Cell Function and Interaction 17
    • Immunotherapy and Immune Responses 8
    • Cytokine Signaling Pathways and Interactions 7

Steven D. Levin

52 papers receiving 7.4k citations

Steven D. Levin's Hit Papers

Interleukin 31, a cytokine produced by activated T cells, induces dermatitis in mice 2004 · 839 citations
8390+7+14Years since publication250500750

Peers

Steven D. Levin
Comparison fields: 5 of 117
  • Immunology 4.8k
  • Immunology and Allergy 835
  • Dermatology 1.1k
  • Oncology 2.0k
  • Hematology 327
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Anja Müller Germany
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Steven D. Levin

Since Specialization
Citations

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

Fields of papers citing papers by Steven D. Levin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Interleukin 31, a cytokine produced by activated T cells, induces dermatitis in mice
Hit paper breakdown →
2004839
2 2009570
3 1990569
4 1991534
5 2011485
6 1992477
7 2000392
8 2007304
9 2003292
10 2011292
11 1993279
12 2011258
13 1999211
14 1993184
15 1999159
16 2010157
17 1991154
18 1999154
19 2002124
20 1993113

About Steven D. Levin

Steven D. Levin is a scholar working on Immunology, Oncology, Dermatology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 52 papers that have together received 7.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (25 papers), Immune Cell Function and Interaction (17 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Immunotherapy and Immune Responses (8 papers), Cytokine Signaling Pathways and Interactions (7 papers), Dermatology and Skin Diseases (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Whipple's Disease and Interleukins (5 papers). The work is most often cited by research in Immunology (4.8k citations), Immunology and Allergy (835 citations), Dermatology (1.1k citations), Oncology (2.0k citations) and Hematology (327 citations). Steven D. Levin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Roger M. Perlmutter, Katherine A. Forbush, Steven F. Ziegler, Mark W. Appleby, Sarah Anderson, Bryan A. Irving, Michael H. Brodsky, Dan R. Littman, Jane A. Gross and M. Cooke. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Nature Immunology, Journal of Shoulder and Elbow Surgery and European Journal of Immunology.

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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