Mark Semenuk

486 citations
8 papers · 384 · h-index 5

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Cytokine Signaling Pathways and Interactions 3
    • Immune Response and Inflammation 3
    • interferon and immune responses 2
    • Immunotherapy and Immune Responses 1

Mark Semenuk

8 papers receiving 380 citations

Peers

Mark Semenuk
Comparison fields: 5 of 60
  • Immunology 288
  • Oncology 131
  • Rheumatology 49
  • Microbiology 17
  • Epidemiology 76
Replace Hitoshi Hanamoto with:
Hitoshi Hanamoto Japan
Nina Chevalier Germany
Chigusa Nakajima Japan
Courtney J. Fleenor United States
Nancy Van Houten United States
Kalyan C. Nallaparaju United States
Carine Brinster France
Selvakumar Sukumar United States
Hayden Pearce United Kingdom
Cornelia Gujer Switzerland
Mark Semenuk relative to Hitoshi Hanamoto Japan Hitoshi Hanamoto's profile →
Citations per field
00.5×3.6×
Hitoshi Hanamoto · 1×
Citations per year

Countries citing papers authored by Mark Semenuk

Since Specialization
Citations

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

Fields of papers citing papers by Mark Semenuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2001211
2 200266
3 199655
4 199926
5 200320
6 20113
7 20172
8 20131

About Mark Semenuk

Mark Semenuk is a scholar working on Oncology, Immunology, Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 384 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (3 papers), Immune Response and Inflammation (3 papers), interferon and immune responses (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cancer Genomics and Diagnostics (1 paper), Cancer Research and Treatments (1 paper), Immunotherapy and Immune Responses (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Immunology (288 citations), Oncology (131 citations), Rheumatology (49 citations), Microbiology (17 citations) and Epidemiology (76 citations). Mark Semenuk has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Bernardetta Nardelli, David W. LaFleur, Paul A. Moore, Diana Chinchilla, Paula M. Pitha, Timothy A. Coleman, Steven M. Ruben, Guoxian Chen, Ping Feng and Liubov Zaritskaya. Their work appears in journals such as Journal of Cellular Biochemistry, The Journal of Immunology, Journal of Leukocyte Biology, Journal of Biological Chemistry and The Journal of Infectious Diseases.

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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