Kenneth LeClair

2.0k citations
23 papers · 1.8k · h-index 20

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • NF-κB Signaling Pathways

Papers in

    • Immunotherapy and Immune Responses 9
    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 8
    • Immune Response and Inflammation 4
    • Toxin Mechanisms and Immunotoxins 3
    • Monoclonal and Polyclonal Antibodies Research 8

Kenneth LeClair

23 papers receiving 1.7k citations

Peers

Kenneth LeClair
Comparison fields: 5 of 96
  • Immunology 1.1k
  • Cancer Research 224
  • Virology 68
  • Immunology and Allergy 72
  • Oncology 308
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Citations per field
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Citations per year

Countries citing papers authored by Kenneth LeClair

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth LeClair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992304
2 1981265
3 1990135
4 2017129
5 1986117
6 1999100
7 200282
8 198771
9 201169
10 199465
11 199363
12 198854
13 199051
14 200251
15 201140
16 200338
17 198736
18 198932
19 199721
20 198119

About Kenneth LeClair

Kenneth LeClair is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Cancer Research, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (5 papers), NF-κB Signaling Pathways (4 papers), Immune Response and Inflammation (4 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Immunology (1.1k citations), Cancer Research (224 citations), Virology (68 citations), Immunology and Allergy (72 citations) and Oncology (308 citations). Kenneth LeClair has collaborated with scholars based in United States, United Kingdom and South Sudan. Frequent co-authors include Phillip A. Sharp, Michael A. Blanar, Cox Terhorst, André Van Agthoven, Alfred L.M. Bothwell, Roger G. E. Palfree, Albert S. Baldwin, Harinder Singh, Peter M. Snow and Ellis L. Reinherz. Their work appears in journals such as The Journal of Immunology, Molecular Immunology, Molecular and Cellular Biology, Vaccine and Proceedings of the National Academy of Sciences.

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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