Dror Alishekevitz

690 citations
16 papers · 567 · h-index 11

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Immune cells in cancer
    • Immunotherapy and Immune Responses

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • Cancer Cells and Metastasis 3
    • Immune cells in cancer 4
    • Immunotherapy and Immune Responses 2

Dror Alishekevitz

16 papers receiving 566 citations

Peers

Dror Alishekevitz
Comparison fields: 5 of 65
  • Oncology 254
  • Immunology 182
  • Cancer Research 91
  • Cell Biology 97
  • Molecular Biology 251
Replace Victoria L. Bridgeman with:
Victoria L. Bridgeman United Kingdom
Camille L. Duran United States
Shweta Aras United States
Jessica M. Posada United States
Janine LoBello United States
Nancy Adriana Espinoza‐Sánchez Germany
Mirella Georgouli United Kingdom
Anie Monast Canada
Rémi Samain France
Aprill Watanabe United States
Dror Alishekevitz relative to Victoria L. Bridgeman United Kingdom Victoria L. Bridgeman's profile →
Citations per field
00.5×6.7×
Victoria L. Bridgeman · 1×
Citations per year

Countries citing papers authored by Dror Alishekevitz

Since Specialization
Citations

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

Fields of papers citing papers by Dror Alishekevitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201199
2 201696
3 201689
4 201560
5 201453
6 202230
7 201530
8 201329
9 201524
10 201623
11 201313
12 20158
13 20178
14 20202
15 20202
16 20221

About Dror Alishekevitz

Dror Alishekevitz is a scholar working on Oncology, Immunology, Molecular Biology, Cancer Research and Pathology and Forensic Medicine, having authored 16 papers that have together received 567 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Cells and Metastasis (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Immunotherapy and Immune Responses (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Bone and Dental Protein Studies (1 paper). The work is most often cited by research in Oncology (254 citations), Immunology (182 citations), Cancer Research (91 citations), Cell Biology (97 citations) and Molecular Biology (251 citations). Dror Alishekevitz has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Yuval Shaked, Tali Voloshin, David Loven, Svetlana Gingis‐Velitski, Lilach Gutter-Kapon, Israël Vlodavsky, Neta Ilan, Ami Aronheim, Ziv Raviv and Jin‐Ping Li. Their work appears in journals such as Cancer Research, Oncotarget, Molecular Cancer Therapeutics, Journal for ImmunoTherapy of Cancer and Cell Reports.

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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