Ehud Lavi

8.5k citations
154 papers · 6.8k indexed · 1 hit paper · h-index 46

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
  • Neurology top 0.5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Ehud Lavi

154 papers receiving 6.7k citations

Hit Papers

Experimental allergic encephalomyelitis and multiple sclerosis: lesion characterization with magnetization transfer imaging. 1992 · 585 citations
5851992202620032014100200300400500

Peers

Ehud Lavi
Comparison fields: 5 of 128
  • Virology 1.1k
  • Neurology 1.1k
  • Animal Science and Zoology 1.1k
  • Infectious Diseases 1.6k
  • Immunology 1.7k
Replace Peter W. Lampert with:
Peter W. Lampert United States
Cornelia C. Bergmann United States
Donald H. Gilden United States
Eugene O. Major United States
Robert S. Fujinami United States
Kurt Bürki Switzerland
Stephen A. Stohlman United States
Marc Tardieu France
Luis Del Valle United States
William A. Kuziel United States
Ehud Lavi relative to Peter W. Lampert United States Peter W. Lampert's profile →
Citations per field
00.5×6.2×
Peter W. Lampert · 1×
Citations per year

Countries citing papers authored by Ehud Lavi

Since Specialization
Citations

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

Fields of papers citing papers by Ehud Lavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20184
2 201717
3 20177
4 2016162
5 201121
6 200323
7 200113
8 200176
9 20014
10 200137
11 20012
12 199878
13 1998120
14 19985
15 1997172
16 199657
17 199653
18 19951
19 199013
20 198840

About Ehud Lavi

Ehud Lavi is a scholar working on Animal Science and Zoology, Virology, Microbiology, Infectious Diseases and Neurology, having authored 154 papers that have together received 6.8k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (39 papers), SARS-CoV-2 and COVID-19 Research (27 papers), Viral gastroenteritis research and epidemiology (15 papers), HIV Research and Treatment (14 papers), Immune Cell Function and Interaction (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), T-cell and B-cell Immunology (10 papers) and Viral Infections and Immunology Research (9 papers). The work is most often cited by research in Virology (1.1k citations), Neurology (1.1k citations), Animal Science and Zoology (1.1k citations), Infectious Diseases (1.6k citations) and Immunology (1.7k citations). Ehud Lavi has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Susan R. Weiss, Francisco González‐Scarano, Li Fu, Cris S. Constantinescu, Nicholas Fraser, J G Spivack, Akio Suzumura, Lucy H. Young, Karen Ramer and Vincent Dousset. Their work appears in journals such as Advances in experimental medicine and biology, Journal of Virology, Journal of NeuroVirology, Virology and Journal of Neuroimmunology.

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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