Steven E. Applequist

1.1k citations
17 papers · 904 · h-index 12

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 5
    • Immune Response and Inflammation 4
    • Inflammasome and immune disorders 2

Steven E. Applequist

17 papers receiving 885 citations

Peers

Steven E. Applequist
Comparison fields: 5 of 82
  • Immunology 539
  • Clinical Biochemistry 37
  • Molecular Biology 349
  • Virology 23
  • Oncology 128
Replace Maja Marić with:
Maja Marić United States
Mizuho Kajikawa Japan
Mari Ohmura‐Hoshino Japan
Adriana R. Mantegazza United States
Kara L. Conway United States
Hansjörg Schild Germany
Jennifer Q. Russell United States
Ries J. Langley New Zealand
Stefan Hausmann Germany
Norbert Hilf Germany
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Citations per field
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Citations per year

Countries citing papers authored by Steven E. Applequist

Since Specialization
Citations

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

Fields of papers citing papers by Steven E. Applequist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2002186
2 1997131
3 2012117
4 2012110
5 199589
6 200576
7 200051
8 199540
9 201032
10 199515
11 201311
12 201311
13 200610
14 201910
15 20128
16 20134
17 20143

About Steven E. Applequist

Steven E. Applequist is a scholar working on Immunology, Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 17 papers that have together received 904 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Transgenic Plants and Applications (2 papers), Influenza Virus Research Studies (2 papers) and Inflammasome and immune disorders (2 papers). The work is most often cited by research in Immunology (539 citations), Clinical Biochemistry (37 citations), Molecular Biology (349 citations), Virology (23 citations) and Oncology (128 citations). Steven E. Applequist has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Hans‐Martin Jäck, Sanna Nyström, Chander Raman, Gabriele Beck‐Engeser, Jan Jongstra, Mari Gilljam, Birgitta Stellan, Tolga Sütlü, Evren Alici and Jorma Hinkula. Their work appears in journals such as The Journal of Immunology, The EMBO Journal, Human Gene Therapy, Gene and Immunology and Cell Biology.

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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