Marc E. Weksler

10.3k citations
228 papers · 9k · h-index 52

Impact in

  • Aging top 0.2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Immunology top 0.2%
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Immune responses and vaccinations

Papers in

    • T-cell and B-cell Immunology 143
    • Immune Response and Inflammation 8
    • Immune responses and vaccinations 8
    • Immunotherapy and Immune Responses 7
    • Alzheimer's disease research and treatments 16

Marc E. Weksler

221 papers receiving 8.1k citations

Peers

Marc E. Weksler
Comparison fields: 5 of 126
  • Aging 519
  • Immunology 4.2k
  • Physiology 1.3k
  • Rheumatology 497
  • Behavioral Neuroscience 90
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Citations per year

Countries citing papers authored by Marc E. Weksler

Since Specialization
Citations

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

Fields of papers citing papers by Marc E. Weksler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc E. Weksler. 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 Marc E. Weksler. The network helps show where Marc E. Weksler may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 228 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981429
2 1974306
3 1976275
4 2008273
5 1997246
6 1976216
7 1977196
8 2002185
9 2000178
10 2000175
11 1997163
12 1981159
13 1985152
14 1974151
15 1977130
16 1979127
17 1985118
18 1989109
19 1980106
20 2000104

About Marc E. Weksler

Marc E. Weksler is a scholar working on Immunology, Physiology, Rheumatology, Aging and Epidemiology, having authored 228 papers that have together received 9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (143 papers), Alzheimer's disease research and treatments (16 papers), Systemic Lupus Erythematosus Research (11 papers), Influenza Virus Research Studies (10 papers), Immune Response and Inflammation (8 papers), Immune responses and vaccinations (8 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Aging (519 citations), Immunology (4.2k citations), Physiology (1.3k citations), Rheumatology (497 citations) and Behavioral Neuroscience (90 citations). Marc E. Weksler has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Paul Szabo, J B Innes, Robert W. Kozak, M M Kuntz, T. H. Hütteroth, Rise Schwab, Gregory W. Siskind, Norman R. Relkin, Charles E. Moody and Steven A. Gillis. Their work appears in journals such as Cellular Immunology, The Journal of Immunology, The Journal of Experimental Medicine, Journal of Clinical Investigation and European Journal of Immunology.

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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