Eric Sebzda

4.1k citations
26 papers · 3.5k · h-index 22

Impact in

  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Cell Adhesion Molecules Research

Papers in

    • Immune Cell Function and Interaction 17
    • T-cell and B-cell Immunology 13
    • Immunotherapy and Immune Responses 6
    • IL-33, ST2, and ILC Pathways 3
    • Kruppel-like factors research 3

Eric Sebzda

26 papers receiving 3.4k citations

Peers

Eric Sebzda
Comparison fields: 5 of 100
  • Immunology 2.0k
  • Immunology and Allergy 295
  • Oncology 884
  • Hematology 313
  • Molecular Biology 1.0k
Replace Mark Lupher with:
Mark Lupher United States
Alec M. Cheng United States
Rudolf Schmits Germany
Yumi Yashiro–Ohtani United States
Helga Schneider United Kingdom
Y Kitamura Japan
Sarah E. Bell United Kingdom
L J Old United States
Gina M. Doody United Kingdom
M. Nicotra Italy
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Citations per field
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Citations per year

Countries citing papers authored by Eric Sebzda

Since Specialization
Citations

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

Fields of papers citing papers by Eric Sebzda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994435
2 1999409
3 2003357
4 2010351
5 1996316
6 2002245
7 2006228
8 2008158
9 1996137
10 1996115
11 199697
12 200697
13 200663
14 201662
15 201761
16 201653
17 201050
18 201449
19 200639
20 199739

About Eric Sebzda

Eric Sebzda is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Physiology, having authored 26 papers that have together received 3.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (13 papers), Immunotherapy and Immune Responses (6 papers), CAR-T cell therapy research (4 papers), Lymphatic System and Diseases (3 papers), Kruppel-like factors research (3 papers), IL-33, ST2, and ILC Pathways (3 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Immunology (2.0k citations), Immunology and Allergy (295 citations), Oncology (884 citations), Hematology (313 citations) and Molecular Biology (1.0k citations). Eric Sebzda has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Pamela S. Ohashi, Martin F. Bachmann, Mark L. Kahn, Tak W. Mak, John P. Mayer, Toshiaki Ohteki, Valerie A. Wallace, Rae S. M. Yeung, Thomas M. Kündig and Sanjeev Mariathasan. Their work appears in journals such as Proceedings of the National Academy of Sciences, European Journal of Immunology, Immunity, The FASEB Journal and Nature 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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