Dan Eilat

3.9k total citations
73 papers, 3.3k citations indexed

About

Dan Eilat is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Dan Eilat has authored 73 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Immunology, 49 papers in Radiology, Nuclear Medicine and Imaging and 28 papers in Molecular Biology. Recurrent topics in Dan Eilat's work include Monoclonal and Polyclonal Antibodies Research (48 papers), T-cell and B-cell Immunology (41 papers) and Systemic Lupus Erythematosus Research (19 papers). Dan Eilat is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (48 papers), T-cell and B-cell Immunology (41 papers) and Systemic Lupus Erythematosus Research (19 papers). Dan Eilat collaborates with scholars based in Israel, United States and Germany. Dan Eilat's co-authors include Ruth Fischel, Eyal Raz, Yael Pewzner‐Jung, Alan N. Schechter, E. Rosenmann, Mayer Brezis, Klaus Rajewsky, D. Webster, Anthony R. Rees and Matthias Wabl and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Dan Eilat

73 papers receiving 3.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Eilat Israel 32 2.2k 1.4k 1.1k 897 237 73 3.3k
Thi‐Sau Migone United States 29 2.4k 1.1× 611 0.4× 913 0.9× 625 0.7× 50 0.2× 40 3.7k
Thomas J. Sproule United States 20 1.3k 0.6× 1.1k 0.8× 262 0.2× 879 1.0× 32 0.1× 39 2.4k
W J van Venrooij Netherlands 29 747 0.3× 889 0.6× 1.3k 1.2× 1.2k 1.4× 16 0.1× 54 3.1k
K Matsuta Japan 13 865 0.4× 818 0.6× 336 0.3× 921 1.0× 35 0.1× 30 1.6k
F Takeuchi Japan 16 887 0.4× 843 0.6× 367 0.3× 1.0k 1.1× 33 0.1× 41 1.7k
Andreas M. Hohlbaum United States 15 1.6k 0.8× 293 0.2× 407 0.4× 644 0.7× 35 0.1× 25 2.4k
Katsuyuki Ohmori Japan 30 1.2k 0.6× 427 0.3× 417 0.4× 1.6k 1.8× 32 0.1× 79 3.5k
John D. Pound United Kingdom 28 1.7k 0.8× 827 0.6× 149 0.1× 1.3k 1.5× 26 0.1× 52 3.0k
Graham P. Cook United Kingdom 28 1.6k 0.8× 641 0.5× 130 0.1× 1.1k 1.3× 54 0.2× 65 2.9k
Gregory J. Christianson United States 33 2.1k 1.0× 1.1k 0.8× 129 0.1× 1.2k 1.3× 36 0.2× 53 3.5k

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-authorship network of co-authors of Dan Eilat

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Eilat. A scholar is included among the top collaborators of Dan Eilat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Eilat. Dan Eilat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Makdasi, Efi & Dan Eilat. (2013). L Chain Allelic Inclusion Does Not Increase Autoreactivity in Lupus-Prone New Zealand Black/New Zealand White Mice. The Journal of Immunology. 190(4). 1472–1480. 7 indexed citations
2.
Beck‐Engeser, Gabriele, Dan Eilat, & Matthias Wabl. (2011). An autoimmune disease prevented by anti-retroviral drugs. Retrovirology. 8(1). 91–91. 95 indexed citations
3.
Beck‐Engeser, Gabriele, Dan Eilat, Thomas Harrer, Hans‐Martin Jäck, & Matthias Wabl. (2009). Early onset of autoimmune disease by the retroviral integrase inhibitor raltegravir. Proceedings of the National Academy of Sciences. 106(49). 20865–20870. 36 indexed citations
4.
Makdasi, Efi, et al.. (2009). Autoreactive Anti-DNA Transgenic B Cells in Lupus-Prone New Zealand Black/New Zealand White Mice Show Near Perfect L Chain Allelic Exclusion. The Journal of Immunology. 182(10). 6143–6148. 5 indexed citations
5.
Makdasi, Efi, et al.. (2009). B-cell anergy is maintained in anti-DNA transgenic NZB/NZW mice. International Immunology. 22(2). 101–111. 4 indexed citations
6.
Yarkoni, Yuval, et al.. (2006). Peripheral B cell receptor editing may promote the production of high‐affinity autoantibodies in CD22‐deficient mice. European Journal of Immunology. 36(10). 2755–2767. 11 indexed citations
7.
Amital, Howard, Rina Ulmansky, Fanny Szafer, et al.. (2005). Treatment with a Laminin-Derived Peptide Suppresses Lupus Nephritis. The Journal of Immunology. 175(8). 5516–5523. 66 indexed citations
8.
Mostoslavsky, Gustavo, Ruth Fischel, Yuval Yarkoni, et al.. (2001). Lupus anti-DNA autoantibodies cross-react with a glomerular structural protein: a case for tissue injury by molecular mimicry. European Journal of Immunology. 31(4). 1221–1227. 172 indexed citations
9.
Mostoslavsky, Gustavo, et al.. (1999). Production of High Affinity Autoantibodies in Autoimmune New Zealand Black/New Zealand White F1 Mice Targeted with an Anti-DNA Heavy Chain. The Journal of Immunology. 162(8). 4406–4416. 42 indexed citations
10.
Mostoslavsky, Gustavo, Zahir Amoura, Henri Chabre, et al.. (1998). Early anti-nucleosome autoantibodies from a single MRL +/+ mouse: fine specificity, V gene structure and pathogenicity. European Journal of Immunology. 28(11). 3411–3422. 22 indexed citations
11.
Sonoda, Eiichiro, Yael Pewzner‐Jung, Stephan Schwers, et al.. (1997). B Cell Development under the Condition of Allelic Inclusion. Immunity. 6(3). 225–233. 202 indexed citations
12.
Pewzner‐Jung, Yael, et al.. (1997). Expression of an anti-DNA-associated VH gene in immunized and autoimmune mice. The Journal of Immunology. 159(3). 1508–1519. 20 indexed citations
13.
Eilat, Dan & W.F. Anderson. (1994). Structure-function correlates of autoantibodies to nucleic acids. Lessons from immunochemical, genetic and structural studies. Molecular Immunology. 31(18). 1377–1390. 54 indexed citations
14.
Raz, Eyal, et al.. (1993). Cross‐reactions of anti‐DNA autoantibodies with cell surface proteins. European Journal of Immunology. 23(2). 383–390. 102 indexed citations
15.
Regan, John R., et al.. (1993). Mimicry of Biological Macromolecules by Polyaromatic Anionic Compounds. Journal of Bioactive and Compatible Polymers. 8(4). 317–337. 20 indexed citations
16.
Fischel, Ruth & Dan Eilat. (1992). Structure and binding properties of a monoclonal anti-idiotypic autoantibody to anti-DNA with epibody activity. The Journal of Immunology. 149(9). 3089–3096. 12 indexed citations
17.
Eilat, Dan & Ruth Fischel. (1991). Recurrent utilization of genetic elements in V regions of antinucleic acid antibodies from autoimmune mice. The Journal of Immunology. 147(1). 361–368. 89 indexed citations
18.
Eilat, Dan. (1990). The role of germline gene expression and somatic mutation in the generation of autoantibodies to DNA. Molecular Immunology. 27(3). 203–210. 31 indexed citations
19.
Raz, Eyal, Mayer Brezis, E. Rosenmann, & Dan Eilat. (1989). Anti-DNA antibodies bind directly to renal antigens and induce kidney dysfunction in the isolated perfused rat kidney.. The Journal of Immunology. 142(9). 3076–3082. 214 indexed citations
20.
Eilat, Dan. (1985). Cross-reactions of anti-DNA antibodies and the central dogma of lupus nephritis. Immunology Today. 6(4). 123–127. 86 indexed citations

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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