Keith Le

425 citations
10 papers · 324 · h-index 8

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Cancer Immunotherapy and Biomarkers
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Protein Degradation and Inhibitors 1
    • Lipid Membrane Structure and Behavior 1
    • Cytokine Signaling Pathways and Interactions 2

Keith Le

10 papers receiving 314 citations

Peers

Keith Le
Comparison fields: 5 of 64
  • Immunology 107
  • Oncology 98
  • Psychiatry and Mental health 40
  • Molecular Biology 138
  • Cancer Research 28
Replace Janina Osman with:
Janina Osman Sweden
Nazli Khodayari United States
Janielle P. Maynard United States
Masahiko Azuma Japan
Karel P. Alcedo United States
Rupert Negus United Kingdom
Laëtitia Douguet France
Kimberly Atianzar United States
Jinxiao Liang China
Mari Kaarbø Norway
Keith Le relative to Janina Osman Sweden Janina Osman's profile →
Citations per field
00.5×2.9×
Janina Osman · 1×
Citations per year

Countries citing papers authored by Keith Le

Since Specialization
Citations

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

Fields of papers citing papers by Keith Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2016114
2 200479
3 201337
4 200831
5 201925
6 201911
7 202310
8 201810
9 20225
10 20252

About Keith Le

Keith Le is a scholar working on Molecular Biology, Oncology, Immunology, Cellular and Molecular Neuroscience and Microbiology, having authored 10 papers that have together received 324 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (2 papers), Neuropeptides and Animal Physiology (2 papers), Immune Response and Inflammation (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers), Antimicrobial Peptides and Activities (2 papers), Protein Degradation and Inhibitors (1 paper), Computational Drug Discovery Methods (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Immunology (107 citations), Oncology (98 citations), Psychiatry and Mental health (40 citations), Molecular Biology (138 citations) and Cancer Research (28 citations). Keith Le has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Zhifang Zhang, John E. Shively, Katherine Mitsouras, Christopher Seungkyu Lee, Qiang Xu, Qi Wang, Stanley F. Nelson, Meenakshi Roy, Hua Yu and Chunyan Zhang. Their work appears in journals such as PLoS ONE, Experimental Biology and Medicine, Nature Communications, Immunity and Obesity.

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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