Dan Eilat

3.9k citations
73 papers · 3.5k · h-index 32

Impact in

  • Immunology top 1%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Rheumatology top 0.5%
    • Systemic Lupus Erythematosus Research

Papers in

Dan Eilat

73 papers receiving 3.3k citations

Peers

Dan Eilat
Comparison fields: 5 of 94
  • Immunology 2.2k
  • Rheumatology 1.1k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Nephrology 215
  • Immunology and Allergy 142
Replace Peter Sondermann with:
Peter Sondermann Germany
Jeffrey A. Carrell United States
Eileen A. Elliott United States
Thomas J. Sproule United States
Gregory J. Christianson United States
Andreas M. Hohlbaum United States
John D. Pound United Kingdom
Graham P. Cook United Kingdom
R. J. Winchester United States
Kohei Matsuta Japan
Dan Eilat relative to Peter Sondermann Germany Peter Sondermann's profile →
Citations per field
00.5×2×3×4×4.8×
Peter Sondermann · 1×
Citations per year

Countries citing papers authored by Dan Eilat

Since Specialization
Citations

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

Fields of papers citing papers by Dan Eilat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004383
2 1989241
3 1997206
4 1980198
5 2001183
6 1988153
7 1993114
8 2011108
9 2009102
10 199194
11 198493
12 198593
13 199884
14 200572
15 201560
16 198258
17 199457
18 197955
19 198554
20 198251

About Dan Eilat

Dan Eilat is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Rheumatology, Molecular Biology and Hematology, having authored 73 papers that have together received 3.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (47 papers), T-cell and B-cell Immunology (40 papers), Systemic Lupus Erythematosus Research (18 papers), Immune Cell Function and Interaction (17 papers), RNA and protein synthesis mechanisms (11 papers), Glycosylation and Glycoproteins Research (10 papers), Immunotherapy and Immune Responses (8 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Immunology (2.2k citations), Rheumatology (1.1k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Nephrology (215 citations) and Immunology and Allergy (142 citations). Dan Eilat has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Ruth Fischel, Eyal Raz, Yael Pewzner‐Jung, Alan N. Schechter, E. Rosenmann, Mayer Brezis, Matthias R. Wabl, Anthony R. Rees, D. Webster and Klaus Rajewsky. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Molecular Immunology, Proceedings of the National Academy of Sciences and Lupus.

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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