Kévin Ly

1.1k citations
20 papers · 558 · h-index 12

Impact in

    • Cancer, Lipids, and Metabolism
    • Protease and Inhibitor Mechanisms
  • Surgery top 10%
    • Lipoproteins and Cardiovascular Health
    • Cholesterol and Lipid Metabolism

Papers in

    • Ubiquitin and proteasome pathways 4
    • Peptidase Inhibition and Analysis 5
    • Viral-associated cancers and disorders 2

Kévin Ly

20 papers receiving 550 citations

Peers

Kévin Ly
Comparison fields: 5 of 78
  • Cancer Research 81
  • Surgery 228
  • Immunology 103
  • Cell Biology 54
  • Molecular Biology 198
Replace Shin‐ichiro Maehara with:
Shin‐ichiro Maehara Japan
Jing‐An Rui China
Shigemasa Suzuki Japan
Annemarie Larkin Ireland
Carla Kurkjian United States
Waheed Sangrar Canada
Hideaki Yamanami Japan
Miaojun Han United States
Toshiya Kawaguchi Japan
Daisaku Morita Japan
Kévin Ly relative to Shin‐ichiro Maehara Japan Shin‐ichiro Maehara's profile →
Citations per field
00.5×10×
Shin‐ichiro Maehara · 1×
Citations per year

Countries citing papers authored by Kévin Ly

Since Specialization
Citations

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

Fields of papers citing papers by Kévin Ly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2009224
2 201249
3 201941
4 201440
5 202437
6 202334
7 201329
8 201816
9 201613
10 201612
11 201711
12 201611
13 20248
14 20178
15 20218
16 20176
17 20155
18 20253
19 20242
20 20251

About Kévin Ly

Kévin Ly is a scholar working on Molecular Biology, Oncology, Surgery, Immunology and Epidemiology, having authored 20 papers that have together received 558 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (5 papers), Ubiquitin and proteasome pathways (4 papers), Immunotherapy and Immune Responses (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Viral-associated cancers and disorders (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Cancer Research (81 citations), Surgery (228 citations), Immunology (103 citations), Cell Biology (54 citations) and Molecular Biology (198 citations). Kévin Ly has collaborated with scholars based in Canada, United States and Poland. Frequent co-authors include Robert Day, Roxane Desjardins, Nabil G. Seidah, Marie‐Claude Asselin, Annik Prat, Franck Duclos, Mark R. Witmer, Peter S. McPherson, Steve Poirier and Rex A. Parker. Their work appears in journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry, Science, Scientific Reports and ChemMedChem.

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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