David M. Berman

28.5k total citations · 14 hit papers
261 papers, 19.7k citations indexed

About

David M. Berman is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, David M. Berman has authored 261 papers receiving a total of 19.7k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 76 papers in Oncology and 54 papers in Surgery. Recurrent topics in David M. Berman's work include Bladder and Urothelial Cancer Treatments (39 papers), Prostate Cancer Treatment and Research (33 papers) and Cancer Immunotherapy and Biomarkers (30 papers). David M. Berman is often cited by papers focused on Bladder and Urothelial Cancer Treatments (39 papers), Prostate Cancer Treatment and Research (33 papers) and Cancer Immunotherapy and Biomarkers (30 papers). David M. Berman collaborates with scholars based in United States, Canada and Australia. David M. Berman's 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 and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David M. Berman

250 papers receiving 19.3k citations

Hit Papers

Pooled Analysis of Long-Te... 1991 2026 2002 2014 2015 2003 2004 2003 2007 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Berman United States 61 10.9k 7.6k 3.5k 2.8k 2.0k 261 19.7k
David Piwnica‐Worms United States 71 9.2k 0.8× 5.8k 0.8× 3.3k 0.9× 1.9k 0.7× 1.2k 0.6× 282 19.5k
James D. Griffin United States 95 12.8k 1.2× 7.4k 1.0× 5.3k 1.5× 1.9k 0.7× 1.4k 0.7× 354 29.7k
Agnès Viale United States 64 12.1k 1.1× 5.4k 0.7× 2.0k 0.6× 2.9k 1.0× 1.4k 0.7× 139 20.7k
David W. Andrews United States 67 10.2k 0.9× 3.7k 0.5× 1.9k 0.5× 4.6k 1.7× 1.5k 0.8× 341 20.7k
Malcolm A.S. Moore United States 82 13.2k 1.2× 7.6k 1.0× 7.4k 2.1× 2.1k 0.7× 2.0k 1.0× 337 28.5k
Stephen M. Hewitt United States 75 10.1k 0.9× 6.4k 0.8× 3.1k 0.9× 3.8k 1.4× 1.6k 0.8× 400 21.4k
Alan R. Clarke United Kingdom 62 12.2k 1.1× 7.0k 0.9× 2.4k 0.7× 1.0k 0.4× 1.3k 0.7× 230 18.7k
Manuel Salto‐Tellez United Kingdom 59 8.4k 0.8× 5.0k 0.7× 2.1k 0.6× 2.3k 0.8× 2.1k 1.1× 306 17.9k
Nicholas D. Socci United States 74 13.5k 1.2× 3.1k 0.4× 1.5k 0.4× 3.3k 1.2× 2.1k 1.1× 158 21.6k
Gerhard Christofori Switzerland 71 12.4k 1.1× 7.1k 0.9× 1.7k 0.5× 1.8k 0.6× 1.8k 0.9× 163 19.6k

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 of co-authors of David M. Berman

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Berman. A scholar is included among the top collaborators of David M. Berman 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 David M. Berman. David M. Berman 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
1.
Contreras‐Sanz, Alberto, Gian Luca Negri, Htoo Zarni Oo, et al.. (2025). Proteomic profiling identifies muscle-invasive bladder cancers with distinct biology and responses to platinum-based chemotherapy. Nature Communications. 16(1). 1240–1240. 3 indexed citations
3.
Ghaedi, Hamid, et al.. (2022). Immunohistochemical Assays for Bladder Cancer Molecular Subtyping: Optimizing Parsimony and Performance of Lund Taxonomy Classifiers. Journal of Histochemistry & Cytochemistry. 70(5). 357–375. 11 indexed citations
4.
Harmon, Stephanie A., Palak Patel, Thomas Sanford, et al.. (2020). High throughput assessment of biomarkers in tissue microarrays using artificial intelligence: PTEN loss as a proof-of-principle in multi-center prostate cancer cohorts. Modern Pathology. 34(2). 478–489. 17 indexed citations
5.
Morrison, John M., Jeffrey J. Fadrowski, Paul M. Dunman, et al.. (2019). Serum-Associated Antibiotic Tolerance in Pediatric Clinical Isolates of Pseudomonas aeruginosa. Journal of the Pediatric Infectious Diseases Society. 9(6). 671–679. 7 indexed citations
6.
Ladas, Elena J., Monica Bhatia, Lu Chen, et al.. (2015). The safety and feasibility of probiotics in children and adolescents undergoing hematopoietic cell transplantation. Bone Marrow Transplantation. 51(2). 262–266. 95 indexed citations
7.
Wang, David H., Anjana Tiwari, Nicholas J. Clemons, et al.. (2014). Hedgehog signaling regulates FOXA2 in esophageal embryogenesis and Barrett’s metaplasia. Journal of Clinical Investigation. 124(9). 3767–3780. 74 indexed citations
8.
Fulford, Glenn, Xing J. Lee, David M. Berman, & Grant Hamilton. (2011). Interaction of Myxomatosis and Rabbit Haemorrhagic Disease in wild rabbit. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 2 indexed citations
9.
Ling, Shizhang, Xiaofei Chang, Luciana Schultz, et al.. (2011). An EGFR-ERK-SOX9 Signaling Cascade Links Urothelial Development and Regeneration to Cancer. Cancer Research. 71(11). 3812–3821. 97 indexed citations
10.
Richardson, Paul G., Asher Chanan‐Khan, Sagar Lonial, et al.. (2011). Tanespimycin and bortezomib combination treatment in patients with relapsed or relapsed and refractory multiple myeloma: results of a phase 1/2 study. British Journal of Haematology. 153(6). 729–740. 78 indexed citations
11.
Richardson, Paul G., Asher Chanan‐Khan, Melissa Alsina, et al.. (2010). Tanespimycin monotherapy in relapsed multiple myeloma: results of a phase 1 dose‐escalation study. British Journal of Haematology. 150(4). 438–445. 60 indexed citations
13.
Berman, David M.. (2008). Control of rabbits in arid Australia: destroying the drought refuge. Queensland Department of Agriculture and Fisheries archive of scientific and research publications (Queensland Department of Agriculture and Fisheries). 1 indexed citations
14.
Kleeberger, Wolfram, G. Steven Bova, Matthew E. Nielsen, et al.. (2007). Roles for the Stem Cell–Associated Intermediate Filament Nestin in Prostate Cancer Migration and Metastasis. Cancer Research. 67(19). 9199–9206. 154 indexed citations
15.
Berman, David M., et al.. (2005). Candida Epiglottitis in an Adolescent with Acquired Immunodeficiency Syndrome. The Pediatric Infectious Disease Journal. 24(1). 91–92. 8 indexed citations
16.
Berman, David M., et al.. (2005). Grading melanocytic dysplasia in paraffin wax embedded tissue by the nucleic acid index. Journal of Clinical Pathology. 58(11). 1206–1210. 3 indexed citations
17.
Berman, David M.. (2001). The Heroes of Treca Gimnazija: A War School in Sarajevo, 1992-1995. Medical Entomology and Zoology. 39(6). 866–72. 6 indexed citations
18.
Andersson, Stefan, et al.. (1991). Deletion of steroid 5α-reductase 2 gene in male pseudohermaphroditism. Nature. 354(6349). 159–161. 524 indexed citations breakdown →
19.
Berman, David M.. (1990). Social Studies Education for the New Japan.. Social Education. 54(4). 2 indexed citations
20.
Berman, David M.. (1982). A note on choosability in planar graphs. Commentationes Mathematicae Universitatis Carolinae. 23(3). 537–540. 1 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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