David M. Berman

28.5k citations
261 papers · 19.7k indexed · 14 hit papers · h-index 61

David M. Berman

250 papers receiving 19.3k citations

Hit Papers

Clinical implicati...427199120262002201450010001.5k

Peers

David M. Berman
Comparison fields: 5 of 185
  • Oncology 7.6k
  • Immunology 3.5k
  • Molecular Biology 10.9k
  • Cancer Research 1.7k
  • Urology 574
Replace Masashi Fukayama with:
Masashi Fukayama Japan
John T. Isaacs United States
Robert D. Cardiff United States
Martin F. Lavin Australia
Arndt Hartmann Germany
Glen Kristiansen Germany
Nicholas A. Wright United Kingdom
Jerry Pelletier Canada
Yue Xu China
Ramesh A. Shivdasani United States
David M. Berman relative to Masashi Fukayama Japan Masashi Fukayama's profile →
Citations per field
00.5×1.5×1.8×
Masashi Fukayama · 1×
Citations per year

Countries citing papers authored by David M. Berman

Since Specialization
Citations

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

Fields of papers citing papers by David M. Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Berman. 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 David M. Berman. The network helps show where David M. Berman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20233
3 202211
4 20202
5 20197
6 201474
7 201465
8 20112
9 201197
10 201060
11 2009460
12
Control of rabbits in arid Australia: destroying the drought refuge
20081
13 2007154
14 20051
15 2005365
16 20053
17
Odd induced subgraphs in graphs of maximum degree three.
19974
18
Social Studies Education for the New Japan.
19902
19
Teaching Vietnam through Vietnamese Sources.
19851
20
A note on choosability in planar graphs
19821

About David M. Berman

David M. Berman is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 261 papers that have together received 19.7k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (39 papers), Prostate Cancer Treatment and Research (33 papers), Cancer Immunotherapy and Biomarkers (30 papers), Urinary and Genital Oncology Studies (29 papers), Epigenetics and DNA Methylation (19 papers), CAR-T cell therapy research (18 papers), Immunotherapy and Immune Responses (16 papers) and Prostate Cancer Diagnosis and Treatment (13 papers). The work is most often cited by research in Oncology (7.6k citations), Immunology (3.5k citations) and Molecular Biology (10.9k citations). David M. Berman has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Alfred G. Gilman, Philip A. Beachy, Sunil Karhadkar, D. Neil Watkins, Omid Hamid, Jeffrey S. Weber, Thomas M. Wilkie, Stephen B. Baylin, David W. Russell and Anirban Maitra. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Wildlife Research, Blood and The Prostate.

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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