Jamaal Rehman

2.3k total citations · 2 hit papers
10 papers, 1.8k citations indexed

About

Jamaal Rehman is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Jamaal Rehman has authored 10 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Immunology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Jamaal Rehman's work include Cancer Immunotherapy and Biomarkers (8 papers), CAR-T cell therapy research (4 papers) and Immunotherapy and Immune Responses (4 papers). Jamaal Rehman is often cited by papers focused on Cancer Immunotherapy and Biomarkers (8 papers), CAR-T cell therapy research (4 papers) and Immunotherapy and Immune Responses (4 papers). Jamaal Rehman collaborates with scholars based in United States, France and Canada. Jamaal Rehman's co-authors include David L. Rimm, Gang Han, Vasiliki Pelekanou, Joseph McLaughlin, Kurt A. Schalper, Daniel Carvajal‐Hausdorf, Roy S. Herbst, Vamsidhar Velcheti, Patricia LoRusso and Cory Batenchuk and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of Neuroinflammation.

In The Last Decade

Jamaal Rehman

9 papers receiving 1.8k citations

Hit Papers

Quantitative Assessment of the Heterogeneity of PD-L1 Exp... 2015 2026 2018 2022 2015 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamaal Rehman United States 8 1.4k 758 478 293 183 10 1.8k
Yunpeng Liu China 20 501 0.4× 454 0.6× 179 0.4× 354 1.2× 59 0.3× 78 1.3k
Janet Maleski United States 17 1.3k 0.9× 332 0.4× 836 1.7× 204 0.7× 30 0.2× 26 2.0k
Robert S. Seitz United States 21 493 0.3× 396 0.5× 163 0.3× 461 1.6× 41 0.2× 42 1.8k
Sébastien Tabariès Canada 20 573 0.4× 224 0.3× 317 0.7× 788 2.7× 202 1.1× 27 1.8k
Kenneth Aldape United States 13 557 0.4× 347 0.5× 164 0.3× 686 2.3× 55 0.3× 32 1.9k
Dorothee Gramatzki Switzerland 19 335 0.2× 345 0.5× 212 0.4× 343 1.2× 49 0.3× 59 1.4k
Nicholas P. Tobin Sweden 23 742 0.5× 268 0.4× 217 0.5× 578 2.0× 38 0.2× 51 1.5k
Chang‐Jiun Wu United States 15 700 0.5× 221 0.3× 375 0.8× 297 1.0× 21 0.1× 30 1.4k
Long‐Yun Ye China 22 490 0.3× 146 0.2× 613 1.3× 384 1.3× 48 0.3× 49 1.5k

Countries citing papers authored by Jamaal Rehman

Since Specialization
Citations

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

Fields of papers citing papers by Jamaal Rehman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamaal Rehman

This figure shows the co-authorship network connecting the top 25 collaborators of Jamaal Rehman. A scholar is included among the top collaborators of Jamaal Rehman 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 Jamaal Rehman. Jamaal Rehman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Callahan, Zachary M., Wennuan Liu, Jun Hou, et al.. (2020). Somatic DNA copy number alterations in non-dysplastic Barrett’s esophagus. Surgical Endoscopy. 35(7). 3961–3970.
2.
Hanson, Britt, et al.. (2019). Isolated testicular vasculitis due to immune checkpoint inhibitor. SHILAP Revista de lepidopterología. 7(1). 35–36. 7 indexed citations
3.
Rimm, David L., Gang Han, Janis M. Taube, et al.. (2017). A Prospective, Multi-institutional, Pathologist-Based Assessment of 4 Immunohistochemistry Assays for PD-L1 Expression in Non–Small Cell Lung Cancer. JAMA Oncology. 3(8). 1051–1051. 576 indexed citations breakdown →
4.
Smithy, James W., Vasiliki Pelekanou, Jamaal Rehman, et al.. (2017). Nuclear IRF-1 expression as a mechanism to assess “Capability” to express PD-L1 and response to PD-1 therapy in metastatic melanoma. Journal for ImmunoTherapy of Cancer. 5(1). 25–25. 30 indexed citations
5.
Rimm, David L., Gang Han, Janis M. Taube, et al.. (2016). ORAL01.01: A Prospective, Multi-Institutional Assessment of Four Assays for PD-L1 Expression in NSCLC by Immunohistochemistry. Journal of Thoracic Oncology. 11(11). S249–S249. 8 indexed citations
6.
Rehman, Jamaal, Gang Han, Daniel Carvajal‐Hausdorf, et al.. (2016). Quantitative and pathologist-read comparison of the heterogeneity of programmed death-ligand 1 (PD-L1) expression in non-small cell lung cancer. Modern Pathology. 30(3). 340–349. 124 indexed citations
7.
Gaule, Patricia, James W. Smithy, Maria Toki, et al.. (2016). A Quantitative Comparison of Antibodies to Programmed Cell Death 1 Ligand 1. JAMA Oncology. 3(2). 256–256. 148 indexed citations
8.
Gaule, Patricia, Jamaal Rehman, James W. Smithy, et al.. (2016). Measurement of spatial and antibody-based PD-L1 heterogeneity in non-small cell lung cancer.. Journal of Clinical Oncology. 34(15_suppl). 9040–9040. 1 indexed citations
9.
McLaughlin, Joseph, Gang Han, Kurt A. Schalper, et al.. (2015). Quantitative Assessment of the Heterogeneity of PD-L1 Expression in Non–Small-Cell Lung Cancer. JAMA Oncology. 2(1). 46–46. 679 indexed citations breakdown →
10.
Song, Min, Jingji Jin, Jeong-Eun Lim, et al.. (2011). TLR4 mutation reduces microglial activation, increases Aβ deposits and exacerbates cognitive deficits in a mouse model of Alzheimer's disease. Journal of Neuroinflammation. 8(1). 92–92. 243 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.

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