Steven C. Hoffmann

984 citations
11 papers · 676 · h-index 9

Impact in

Papers in

    • Biosimilars and Bioanalytical Methods 3
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Health Systems, Economic Evaluations, Quality of Life 3

Steven C. Hoffmann

11 papers receiving 660 citations

Peers

Steven C. Hoffmann
Comparison fields: 5 of 94
  • Transplantation 102
  • Rheumatology 210
  • Immunology 181
  • Pharmacology 76
  • Equine 7
Replace Roberto Díaz‐Peña with:
Roberto Díaz‐Peña Spain
D. Adorno Italy
Yang Jun China
Hillary Johnston‐Cox United States
S. Jacobs United States
Caleb Cornaby United States
Sanketh Rampes United Kingdom
Hays W. J. Young United States
T. Moreau France
Steven C. Hoffmann relative to Roberto Díaz‐Peña Spain Roberto Díaz‐Peña's profile →
Citations per field
00.5×4.4×
Roberto Díaz‐Peña · 1×
Citations per year

Countries citing papers authored by Steven C. Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Steven C. Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2016199
2 2000152
3 2015106
4 200591
5 201931
6 201527
7 202022
8 202321
9 202014
10 20217
11 20246

About Steven C. Hoffmann

Steven C. Hoffmann is a scholar working on Immunology, Economics and Econometrics, Pharmacology, Rheumatology and Statistics and Probability, having authored 11 papers that have together received 676 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), T-cell and B-cell Immunology (2 papers), Biomedical and Engineering Education (2 papers), Statistical Methods in Clinical Trials (2 papers), Immune Cell Function and Interaction (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Transplantation (102 citations), Rheumatology (210 citations), Immunology (181 citations), Pharmacology (76 citations) and Equine (7 citations). Steven C. Hoffmann has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include David J. Hunter, Virginia B. Kraus, Jamie E. Collins, Allan D. Kirk, Linda J. Sandell, Elena Losina, Jeffrey N. Katz, Michael C. Nevitt, David M. Harlan and Carl H. June. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Clinical Infectious Diseases, Annals of the Rheumatic Diseases, Skeletal Radiology and The Journal of Experimental Medicine.

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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