Dan Eilat

3.9k citations
73 papers · 3.5k · h-index 33

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 3.2k citations

Peers

Dan Eilat
Comparison fields: 5 of 94
  • Immunology 2.2k
  • Rheumatology 1.1k
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Nephrology 209
  • Immunology and Allergy 138
Replace Thi‐Sau Migone with:
Thi‐Sau Migone United States
Thomas J. Sproule United States
Andreas M. Hohlbaum United States
Gregory J. Christianson United States
W J van Venrooij Netherlands
John D. Pound United Kingdom
G Biesecker United States
Graham P. Cook United Kingdom
K Matsuta Japan
F Takeuchi Japan
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Citations per field
00.5×5.5×
Thi‐Sau Migone · 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 2004366
2 1989233
3 1997207
4 1980197
5 2001178
6 1988149
7 1993112
8 2009101
9 2011101
10 199194
11 198493
12 198591
13 199881
14 200566
15 201558
16 198258
17 199457
18 197954
19 198553
20 198251

About Dan Eilat

Dan Eilat is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Rheumatology and Oncology, having authored 73 papers that have together received 3.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (48 papers), T-cell and B-cell Immunology (41 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 (1.4k citations), Nephrology (209 citations) and Immunology and Allergy (138 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, Mayer Brezis, E. Rosenmann, Anthony R. Rees, D. Webster, Klaus Rajewsky and Matthias Wabl. 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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