Arbel D. Tadmor

6.1k citations
12 papers · 1.6k indexed · 1 hit paper · h-index 8
  • Immunology top 2%
    • Immunotherapy and Immune Responses 5
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers 4
    • vaccines and immunoinformatics approaches 2
    • RNA and protein synthesis mechanisms 2
    • Genomics and Phylogenetic Studies 2
    • Cancer Genomics and Diagnostics 3
    • Bacteriophages and microbial interactions 3
    • Genomics and Rare Diseases 1

Arbel D. Tadmor

12 papers receiving 1.6k citations

Hit Papers

Mutant MHC class II epitopes drive therapeutic immune res...9152015202620182022250500750

Peers

Arbel D. Tadmor
Comparison fields: 5 of 99
  • Immunology 979
  • Oncology 835
  • Molecular Biology 675
  • Cancer Research 112
  • Biotechnology 52
Replace Chun Jeih Ryu with:
Chun Jeih Ryu South Korea
Jarrett Adams Canada
Aaron K. Sato United States
Petr Malý Czechia
Madiha Derouazi Switzerland
Ernesto Rodríguez Netherlands
Stacy A. Malaker United States
David Maussang Netherlands
Richard H. Kimura United States
Andrey S. Dobroff United States
Arbel D. Tadmor relative to Chun Jeih Ryu South Korea Chun Jeih Ryu's profile →
Citations per field
00.5×2.9×
Chun Jeih Ryu · 1×
Citations per year

Countries citing papers authored by Arbel D. Tadmor

Since Specialization
Citations

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

Fields of papers citing papers by Arbel D. Tadmor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arbel D. Tadmor. 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 Arbel D. Tadmor. The network helps show where Arbel D. Tadmor may publish in the future.

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 20231
2 20213
3 2020141
4 201838
5 20161
6
Mutant MHC class II epitopes drive therapeutic immune responses to cancerbreakdown →
2015915
7 2014280
8 201433
9 201210
10 2011176
11 200829
12 19685

About Arbel D. Tadmor

Arbel D. Tadmor is a scholar working on Cancer Research, Immunology and Virology, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Bacteriophages and microbial interactions (3 papers), Cancer Genomics and Diagnostics (3 papers), vaccines and immunoinformatics approaches (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Immunology (979 citations), Oncology (835 citations) and Molecular Biology (675 citations). Arbel D. Tadmor has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Uğur Şahin, Sebastian Boegel, Özlem Türeci, Sebastian Kreiter, Mustafa Diken, John C. Castle, Martin Löwer, Barbara Schrörs, Mathias Vormehr and Fulvia Vascotto. Their work appears in journals such as Nature, Science and Bioinformatics.

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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