Ran Afik

653 citations
9 papers · 451 · h-index 6

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Phagocytosis and Immune Regulation
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 3
    • Immune Cell Function and Interaction 3
    • CAR-T cell therapy research 3

Ran Afik

9 papers receiving 448 citations

Peers

Ran Afik
Comparison fields: 5 of 64
  • Immunology 232
  • Oncology 201
  • Immunology and Allergy 42
  • Cancer Research 70
  • Cell Biology 67
Replace Aviad Ben‐Shmuel with:
Aviad Ben‐Shmuel Israel
Casey W. Shuptrine United States
Kerstin Schlüter Germany
Marcin Ziętek Poland
Helicia Paz United States
Denada Dibra United States
Yasuko Kinoshita Japan
Bastian Seubert Germany
Joakim Karlsson Sweden
Ran Afik relative to Aviad Ben‐Shmuel Israel Aviad Ben‐Shmuel's profile →
Citations per field
00.5×10×20×30×38×
Aviad Ben‐Shmuel · 1×
Citations per year

Countries citing papers authored by Ran Afik

Since Specialization
Citations

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

Fields of papers citing papers by Ran Afik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2016268
2 2016102
3 201039
4 200922
5 20105
6 20205
7 20084
8 20133
9 20203

About Ran Afik

Ran Afik is a scholar working on Immunology, Oncology, Molecular Biology, Hematology and Genetics, having authored 9 papers that have together received 451 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (3 papers), Lymphoma Diagnosis and Treatment (1 paper), TGF-β signaling in diseases (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Immunology (232 citations), Oncology (201 citations), Immunology and Allergy (42 citations), Cancer Research (70 citations) and Cell Biology (67 citations). Ran Afik has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Irit Sagi, Elad Bassat, Ehud Zigmond, Mordehay Klepfish, Elee Shimshoni, Metsada Pasmanik‐Chor, Anjana Shenoy, Chen Varol, Zamir Halpern and Tamar Geiger. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Cancer Research and Leukemia & lymphoma.

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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