D. Gurari-Rotman

449 citations
12 papers · 419 · h-index 8

Impact in

    • Immune Response and Inflammation
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
    • Immune Response and Inflammation 2
    • interferon and immune responses 2
    • Glycosylation and Glycoproteins Research 2

D. Gurari-Rotman

12 papers receiving 324 citations

Peers

D. Gurari-Rotman
Comparison fields: 5 of 63
  • Immunology 196
  • Oncology 109
  • Radiology, Nuclear Medicine and Imaging 89
  • Pharmacology 48
  • Molecular Biology 159
Replace Hamblin Phillips with:
Hamblin Phillips United States
Bismarck B. Lozzio United States
Ryuji Furuta Japan
ChiehYing Y. Chang United States
Rüdiger Arndt Germany
Sally Mason United States
Wijnholt Ferwerda Netherlands
Lakshmi Khandke United States
R Pennington United States
M. KONISHI Japan
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Citations per field
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Citations per year

Countries citing papers authored by D. Gurari-Rotman

Since Specialization
Citations

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

Fields of papers citing papers by D. Gurari-Rotman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Gurari-Rotman. 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 D. Gurari-Rotman. The network helps show where D. Gurari-Rotman may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1977127
2 197696
3 197468
4 197853
5 197822
6 197916
7 198213
8 19828
9 19797
10 19824
11 19783
12 19892

About D. Gurari-Rotman

D. Gurari-Rotman is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 12 papers that have together received 419 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immune Response and Inflammation (2 papers), Glycosylation and Glycoproteins Research (2 papers), Viral Infections and Immunology Research (2 papers), interferon and immune responses (2 papers), Animal Disease Management and Epidemiology (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Immunology (196 citations), Oncology (109 citations), Radiology, Nuclear Medicine and Imaging (89 citations), Pharmacology (48 citations) and Molecular Biology (159 citations). D. Gurari-Rotman has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Christian B. Anfinsen, S. Bose, U. Zor, Michal Yaron, H.R. Lindner, M Revel, I Yaron, Urs T. Rüegg, L. D. Corley and Kathryn C. Zoon. Their work appears in journals such as Biochemical and Biophysical Research Communications, FEBS Letters, Journal of Clinical Microbiology, Nature and Thrombosis Research.

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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