Zev A. Binder

5.7k citations
70 papers · 1.3k · h-index 23

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

    • CAR-T cell therapy research 21
    • Glioma Diagnosis and Treatment 28
    • Virus-based gene therapy research 5

Zev A. Binder

65 papers receiving 1.3k citations

Peers

Zev A. Binder
Comparison fields: 5 of 75
  • Genetics 399
  • Oncology 461
  • Cancer Research 246
  • Immunology 215
  • Radiology, Nuclear Medicine and Imaging 138
Replace David Tran with:
David Tran United States
Rolf Warta Germany
Pei Yang China
Corina Taitt United States
Koos E. Hovinga Netherlands
An Claes Netherlands
Daniel Stieber Luxembourg
Tali Voloshin Israel
Noemi Andor United States
Caroline Delmas France
Zev A. Binder relative to David Tran United States David Tran's profile →
Citations per field
00.5×11.3×
David Tran · 1×
Citations per year

Countries citing papers authored by Zev A. Binder

Since Specialization
Citations

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

Fields of papers citing papers by Zev A. Binder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zev A. Binder. 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 Zev A. Binder. The network helps show where Zev A. Binder may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020110
2 2020104
3 2018103
4 201198
5 201985
6 202157
7 201247
8 202447
9 201339
10 201938
11 202237
12 202432
13 201730
14 201929
15 202225
16 202225
17 202224
18 202024
19 202024
20 201224

About Zev A. Binder

Zev A. Binder is a scholar working on Oncology, Genetics, Cancer Research, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (28 papers), CAR-T cell therapy research (21 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Cancer Genomics and Diagnostics (10 papers), Nanowire Synthesis and Applications (6 papers), Single-cell and spatial transcriptomics (5 papers), Immune cells in cancer (5 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Genetics (399 citations), Oncology (461 citations), Cancer Research (246 citations), Immunology (215 citations) and Radiology, Nuclear Medicine and Imaging (138 citations). Zev A. Binder has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Donald M. O’Rourke, Gary L. Gallia, MacLean P. Nasrallah, Steven Brem, Gregory J. Riggins, Arati Desai, Marie‐Odile Parat, Stephen Bagley, Yi Fan and Lin Zhang. Their work appears in journals such as Neuro-Oncology, Cancer Research, Journal of Neuro-Oncology, Journal of Clinical Oncology and Frontiers in Oncology.

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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