Michael E. Severino

552 citations
10 papers · 459 · h-index 7

Impact in

Papers in

    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 1
    • Angiogenesis and VEGF in Cancer 1
    • Ubiquitin and proteasome pathways 1

Michael E. Severino

10 papers receiving 447 citations

Peers

Michael E. Severino
Comparison fields: 5 of 49
  • Endocrinology, Diabetes and Metabolism 192
  • Oncology 163
  • Virology 26
  • Immunology 97
  • Cancer Research 44
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Ayşe Özer Türkiye
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Citations per year

Countries citing papers authored by Michael E. Severino

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Severino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Presence of mutations in all three ras genes in human thyroid tumors.
1990219
2 2005104
3 200059
4 200524
5 200017
6 199216
7
Cyclosporine preferentially inhibits clonal deletion of CD8-positive T cells with an MHC class II restricted autoreactive T-cell receptor.
19937
8 20036
9
A strategic view on the use of pharmacodynamic biomarkers in early clinical drug development.
20066
10 20251

About Michael E. Severino

Michael E. Severino is a scholar working on Immunology, Molecular Biology, Oncology, Virology and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 459 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Cancer-related Molecular Pathways (2 papers), HIV Research and Treatment (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Ubiquitin and proteasome pathways (1 paper), Cancer Genomics and Diagnostics (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (192 citations), Oncology (163 citations), Virology (26 citations), Immunology (97 citations) and Cancer Research (44 citations). Michael E. Severino has collaborated with scholars based in United States, Italy and Hungary. Frequent co-authors include R. Monier, Martin Schlumberger, M Tubiana, Bernard Caillou, Suàrez Hg, C Parmentier, Otto O. Yang, Phuong Nguyen, Stephanie A. Monks and Maha Karnoub. Their work appears in journals such as Virology, Journal of Virology, Genomics, Journal of Biological Chemistry and The 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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