Kamran Kafi

452 total citations
17 papers, 342 citations indexed

About

Kamran Kafi is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology. According to data from OpenAlex, Kamran Kafi has authored 17 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Kamran Kafi's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Immunotherapy and Immune Responses (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Kamran Kafi is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Immunotherapy and Immune Responses (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Kamran Kafi collaborates with scholars based in United States, Canada and Netherlands. Kamran Kafi's co-authors include David J. Betting, John M. Timmerman, Reiko Yamada, Jonathan Kanevsky, Florent Chandelier, Francis J. Giles, Sara A. Hurvitz, Nico van Rooijen, Goulnar Kasymjanova and Boris Bahoric and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Kamran Kafi

17 papers receiving 334 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kamran Kafi United States 11 130 109 104 96 50 17 342
Venkata Manem Canada 11 123 0.9× 91 0.8× 43 0.4× 142 1.5× 63 1.3× 43 379
Ivan Potapenko Denmark 10 61 0.5× 141 1.3× 76 0.7× 252 2.6× 73 1.5× 16 475
Ji Won Woo South Korea 10 219 1.7× 89 0.8× 49 0.5× 82 0.9× 118 2.4× 18 352
Juying Zhou China 11 66 0.5× 94 0.9× 32 0.3× 115 1.2× 63 1.3× 39 354
Joe Yeong Singapore 12 210 1.6× 30 0.3× 108 1.0× 227 2.4× 98 2.0× 28 544
Tuulia Vallius United States 8 160 1.2× 51 0.5× 101 1.0× 129 1.3× 84 1.7× 16 405
Eugene Kim United States 10 160 1.2× 24 0.2× 69 0.7× 127 1.3× 109 2.2× 24 378
M. Rudas Austria 9 156 1.2× 90 0.8× 43 0.4× 88 0.9× 177 3.5× 24 412
Carmen Herling Germany 9 59 0.5× 18 0.2× 108 1.0× 74 0.8× 26 0.5× 23 320
Mingxuan Xie China 8 52 0.4× 49 0.4× 39 0.4× 138 1.4× 118 2.4× 10 317

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-authorship network of co-authors of Kamran Kafi

This figure shows the co-authorship network connecting the top 25 collaborators of Kamran Kafi. A scholar is included among the top collaborators of Kamran Kafi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kamran Kafi. Kamran Kafi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Ishiwata, Tsukasa, Terunaga Inage, Masato Aragaki, et al.. (2024). Deep learning-based prediction of nodal metastasis in lung cancer using endobronchial ultrasound. JTCVS Techniques. 28. 151–161. 3 indexed citations
2.
Hernández-García, Álex, Stefan Bauer, Falk Hildebrand, et al.. (2022). Benchmark of Data Processing Methods and Machine Learning Models for Gut Microbiome-Based Diagnosis of Inflammatory Bowel Disease. Frontiers in Genetics. 13. 784397–784397. 20 indexed citations
3.
4.
Kafi, Kamran, et al.. (2021). Role of Digital Health and Artificial Intelligence in Inflammatory Bowel Disease: A Scoping Review. Genes. 12(10). 1465–1465. 19 indexed citations
5.
6.
Elkrief, Arielle, Robert U. Simpson, Marc Chassé, et al.. (2020). 1394P Deep learning model to predict clinical outcomes in patients with advanced non-small cell lung cancer treated with immune checkpoint inhibitors. Annals of Oncology. 31. S885–S885. 2 indexed citations
7.
Kanevsky, Jonathan, et al.. (2018). Role of artificial intelligence in the care of patients with nonsmall cell lung cancer. European Journal of Clinical Investigation. 48(4). 59 indexed citations
8.
Kasymjanova, Goulnar, Kamran Kafi, Christina Holcroft, et al.. (2016). Pattern of Local Recurrence and Distant Metastasis in Breast Cancer By Molecular Subtype. Cureus. 8(12). e924–e924. 65 indexed citations
9.
Betting, David J., Sara A. Hurvitz, Reiko Yamada, et al.. (2012). Combination of Cyclophosphamide, Rituximab, and Intratumoral CpG Oligodeoxynucleotide Successfully Eradicates Established B cell Lymphoma. Journal of Immunotherapy. 35(7). 534–543. 10 indexed citations
10.
Betting, David J., Reiko Yamada, Kamran Kafi, et al.. (2009). Intratumoral But Not Systemic Delivery of CpG Oligodeoxynucleotide Augments the Efficacy of Anti-CD20 Monoclonal Antibody Therapy Against B Cell Lymphoma. Journal of Immunotherapy. 32(6). 622–631. 36 indexed citations
11.
Timmerman, John M., David J. Betting, Reiko Yamada, et al.. (2009). In vivo activity of rituximab-CpG oligodeoxynucleotide conjugate against rituximab-resistant human CD20+ B-cell lymphoma. Journal of Clinical Oncology. 27(15_suppl). 8529–8529. 2 indexed citations
12.
13.
Betting, David J., et al.. (2008). Sulfhydryl-Based Tumor Antigen-Carrier Protein Conjugates Stimulate Superior Antitumor Immunity against B Cell Lymphomas. The Journal of Immunology. 181(6). 4131–4140. 32 indexed citations
14.
15.
Kafi, Kamran, et al.. (2008). Maleimide conjugation markedly enhances the immunogenicity of both human and murine idiotype-KLH vaccines. Molecular Immunology. 46(3). 448–456. 25 indexed citations
16.
Kafi, Kamran, David J. Betting, Reiko Yamada, Karen F. Steward, & John M. Timmerman. (2008). Effect on in vivo immunogenicity of human idiotype-KLH vaccines by maleimide conjugation. Journal of Clinical Oncology. 26(15_suppl). 8576–8576. 1 indexed citations
17.
Betting, David J., et al.. (2007). Dendritic cells loaded with apoptotic antibody-coated tumor cells provide protective immunity against B-cell lymphoma in vivo. Blood. 111(3). 1504–1511. 25 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Venkata Manem Breakdown of academic impact, for papers by Ivan Potapenko Breakdown of academic impact, for papers by Ji Won Woo Breakdown of academic impact, for papers by Juying Zhou Breakdown of academic impact, for papers by Joe Yeong Breakdown of academic impact, for papers by Tuulia Vallius Breakdown of academic impact, for papers by Eugene Kim Breakdown of academic impact, for papers by M. Rudas Breakdown of academic impact, for papers by Carmen Herling Breakdown of academic impact, for papers by Mingxuan Xie
Rankless by CCL
2026