Mazyar Shadman

8.5k total citations · 2 hit papers
221 papers, 2.3k citations indexed

About

Mazyar Shadman is a scholar working on Oncology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Mazyar Shadman has authored 221 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Oncology, 92 papers in Genetics and 91 papers in Pathology and Forensic Medicine. Recurrent topics in Mazyar Shadman's work include Chronic Lymphocytic Leukemia Research (91 papers), Lymphoma Diagnosis and Treatment (88 papers) and CAR-T cell therapy research (87 papers). Mazyar Shadman is often cited by papers focused on Chronic Lymphocytic Leukemia Research (91 papers), Lymphoma Diagnosis and Treatment (88 papers) and CAR-T cell therapy research (87 papers). Mazyar Shadman collaborates with scholars based in United States, Australia and South Africa. Mazyar Shadman's co-authors include Ajay K. Gopal, David G. Maloney, Victor A. Chow, Cameron J. Turtle, Brian G. Till, Jordan Gauthier, Bahman Roudsari, Alexandre V. Hirayama, Ryan D. Cassaday and Stephen J. Schuster and has published in prestigious journals such as JAMA, Circulation and Journal of Clinical Oncology.

In The Last Decade

Mazyar Shadman

185 papers receiving 2.2k citations

Hit Papers

Feasibility and efficacy of CD19-targeted CAR T cells wit... 2020 2026 2022 2024 2020 2023 50 100 150 200

Peers

Mazyar Shadman
Comparison fields: 5 of 96
  • Oncology 1.4k
  • Pathology and Forensic Medicine 1.0k
  • Genetics 669
  • Immunology 405
  • Molecular Biology 318
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Emmanuel Bachy France View profile →
Citations per field, relative to Mazyar Shadman
Mazyar Shadman · 1×
Citations per year, relative to Mazyar Shadman
Mazyar Shadman · 1×

Countries citing papers authored by Mazyar Shadman

Since Specialization
Citations

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

Fields of papers citing papers by Mazyar Shadman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mazyar Shadman

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

All Works

20 of 20 papers shown
# Work Indexed citations
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3 0
4 1
5 0
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SINGLE-AGENT EPCORITAMAB LEADS TO DEEP RESPONSES IN PATIENTS (PTS) WITH RICHTER’S TRANSFORMATION (RT): PRIMARY RESULTS FROM THE EPCORE CLL-1 TRIAL
1
7 3
8 1
9 1
10 2
11 2
12 1
13 4
14 0
15 10
16 1
17 6
18 9
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20 19

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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