Rafet Başar

8.8k citations
27 papers · 485 · h-index 14

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • CAR-T cell therapy research 13
    • Immune Cell Function and Interaction 14
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 3

Rafet Başar

23 papers receiving 475 citations

Peers

Rafet Başar
Comparison fields: 5 of 56
  • Immunology 231
  • Oncology 246
  • Hematology 45
  • Genetics 29
  • Biophysics 14
Replace Lennard Ostendorf with:
Lennard Ostendorf Germany
Jovian Yu United States
Ganga Gopinathan United Kingdom
Inge Lodewijckx Belgium
Alessandra Vaccaro Italy
Duc-Hanh T. Nguyen United States
Amrita Goyal United States
Charlotte Erpicum Belgium
Troy N. Trevino United States
Nicole A. Belmar United States
Rafet Başar relative to Lennard Ostendorf Germany Lennard Ostendorf's profile →
Citations per field
00.5×4.5×
Lennard Ostendorf · 1×
Citations per year

Countries citing papers authored by Rafet Başar

Since Specialization
Citations

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

Fields of papers citing papers by Rafet Başar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020104
2 201352
3 202045
4 201640
5 202233
6 202230
7 201829
8 201623
9 202221
10 201718
11 201816
12 202314
13 201714
14 202213
15 20209
16 20245
17 20184
18 20234
19 20233
20 20153

About Rafet Başar

Rafet Başar is a scholar working on Oncology, Immunology, Hematology, Molecular Biology and Genetics, having authored 27 papers that have together received 485 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), CAR-T cell therapy research (13 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Single-cell and spatial transcriptomics (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Immunology (231 citations), Oncology (246 citations), Hematology (45 citations), Genetics (29 citations) and Biophysics (14 citations). Rafet Başar has collaborated with scholars based in United States, Türkiye and France. Frequent co-authors include Katayoun Rezvani, May Daher, Elizabeth J. Shpall, Muharrem Müftüoğlu, Sevgi Kalayoğlu Beşışık, Sema Çiftçi Doğanşen, Hila Shaim, Ferihan Aral, Neşe Özbey and Ayşe Kubat Üzüm. Their work appears in journals such as Blood, Journal of Clinical Oncology, Frontiers in Immunology, Blood Advances and Medicine.

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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