Kamran Kafi

470 citations
17 papers · 351 · h-index 11

Impact in

Papers in

    • Monoclonal and Polyclonal Antibodies Research 7
    • Radiomics and Machine Learning in Medical Imaging 3
    • Radiopharmaceutical Chemistry and Applications 2
    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 2

Kamran Kafi

17 papers receiving 344 citations

Peers

Kamran Kafi
Comparison fields: 5 of 73
  • Health Informatics 13
  • Immunology 98
  • Radiology, Nuclear Medicine and Imaging 96
  • Oncology 104
  • Cancer Research 39
Replace Doyeon Ha with:
Doyeon Ha South Korea
Iris Nederlof Netherlands
Ivan Potapenko Denmark
Sylwia Mazurek Poland
Lin Shui China
Yao Huang China
Bojin Su China
Kota Itahashi Japan
Michael Leisch Austria
Anita Turk United States
Kamran Kafi relative to Doyeon Ha South Korea Doyeon Ha's profile →
Citations per field
00.5×3.5×
Doyeon Ha · 1×
Citations per year

Countries citing papers authored by Kamran Kafi

Since Specialization
Citations

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

Fields of papers citing papers by Kamran Kafi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201666
2 201860
3 200936
4 200832
5 200825
6 200725
7 202223
8 200822
9 202119
10 202119
11 201210
12 20246
13 20203
14 20092
15 20091
16 20211
17 20081

About Kamran Kafi

Kamran Kafi is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 351 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Immunotherapy and Immune Responses (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Glycosylation and Glycoproteins Research (2 papers), T-cell and B-cell Immunology (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Health Informatics (13 citations), Immunology (98 citations), Radiology, Nuclear Medicine and Imaging (96 citations), Oncology (104 citations) and Cancer Research (39 citations). Kamran Kafi has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include David J. Betting, John M. Timmerman, Reiko Yamada, Jonathan Kanevsky, Florent Chandelier, Francis J. Giles, Nico van Rooijen, Sara A. Hurvitz, Christina Holcroft and Boris Bahoric. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Journal of Immunotherapy, Blood and European Journal of Clinical Investigation.

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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