Russell S. Berman

8.2k total citations · 1 hit paper
180 papers, 5.8k citations indexed

About

Russell S. Berman is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Russell S. Berman has authored 180 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Oncology, 51 papers in Molecular Biology and 35 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Russell S. Berman's work include Cutaneous Melanoma Detection and Management (48 papers), Melanoma and MAPK Pathways (26 papers) and Cancer Genomics and Diagnostics (17 papers). Russell S. Berman is often cited by papers focused on Cutaneous Melanoma Detection and Management (48 papers), Melanoma and MAPK Pathways (26 papers) and Cancer Genomics and Diagnostics (17 papers). Russell S. Berman collaborates with scholars based in United States, United Kingdom and Italy. Russell S. Berman's co-authors include Berman Da, Benjamin Goldfarb, Iman Osman, Richard L. Shapiro, Anna C. Pavlick, Farbod Darvishian, David Polsky, Paul J. Christos, Madhu Mazumdar and Eva Hernando and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Russell S. Berman

176 papers receiving 5.6k citations

Hit Papers

Treatment of myocardial infarction in a coronary care unit. 1969 2026 1988 2007 1969 400 800 1.2k

Peers

Russell S. Berman
Timothy Perren United Kingdom
David S. Mendelson United States
Richard J. Bold United States
Hong Zhou China
Tristan Grogan United States
Christina Fotopoulou United Kingdom
Sean C. Dowdy United States
Joe Ensor United States
Timothy Perren United Kingdom
Russell S. Berman
Citations per year, relative to Russell S. Berman Russell S. Berman (= 1×) peers Timothy Perren

Countries citing papers authored by Russell S. Berman

Since Specialization
Citations

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

Fields of papers citing papers by Russell S. Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Russell S. Berman

This figure shows the co-authorship network connecting the top 25 collaborators of Russell S. Berman. A scholar is included among the top collaborators of Russell S. 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 Russell S. Berman. Russell S. 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.
Winner, Megan, John Allendorf, Paresh C. Shah, et al.. (2024). Longitudinal assessment of disparities in pancreatic cancer care: A retrospective analysis of the National Cancer Database. World Journal of Surgery. 49(1). 262–269. 1 indexed citations
2.
Habib, Joseph R., Brian Diskin, D. Brock Hewitt, et al.. (2024). The impact of metastatic sites on survival Rates and predictors of extended survival in patients with metastatic pancreatic cancer. Pancreatology. 24(6). 887–893. 9 indexed citations
3.
Barry, Carol L., Andrew Jones, Jonathan D. Rubright, et al.. (2024). Analysis of Surgeon and Program Characteristics Associated with Success on American Board of Surgery Examination Outcomes. Journal of the American College of Surgeons. 240(2). 136–147. 1 indexed citations
4.
Wang, Annie, Rachel Lee, Maria C. Russell, et al.. (2022). Diagnostic laparoscopy is underutilized in the staging of gastric adenocarcinoma regardless of hospital type: An US safety net collaborative analysis. Journal of Surgical Oncology. 126(4). 649–657. 1 indexed citations
6.
Kim, Randie H., Sofia Nomikou, Nicolas Coudray, et al.. (2021). Deep Learning and Pathomics Analyses Reveal Cell Nuclei as Important Features for Mutation Prediction of BRAF-Mutated Melanomas. Journal of Investigative Dermatology. 142(6). 1650–1658.e6. 27 indexed citations
7.
Vitiello, Gerardo A., Erica B. Friedman, James Sun, et al.. (2021). Acral Lentiginous Melanoma: A United States Multi-Center Substage Survival Analysis. Cancer Control. 28. 2895471615–2895471615. 16 indexed citations
8.
Choromanska, Anna, et al.. (2019). Skin Lesion Segmentation and Classification with Deep Learning System.. arXiv (Cornell University). 10 indexed citations
9.
Vogelsang, Matjaž, Karolina Malecek, Artur Romanchuk, et al.. (2016). The Expression Quantitative Trait Loci in Immune Pathways and their Effect on Cutaneous Melanoma Prognosis. Clinical Cancer Research. 22(13). 3268–3280. 18 indexed citations
10.
Hanniford, Douglas, Judy Zhong, Avital Gaziel‐Sovran, et al.. (2015). A miRNA-Based Signature Detected in Primary Melanoma Tissue Predicts Development of Brain Metastasis. Clinical Cancer Research. 21(21). 4903–4912. 65 indexed citations
11.
Penn, Lauren, et al.. (2015). Acral Lentiginous Melanoma of the Foot Misdiagnosed as a Traumatic Ulcer. Journal of the American Podiatric Medical Association. 105(2). 189–194. 7 indexed citations
12.
Vogelsang, Matjaž, Inês Pires da Silva, Nathaniel H. Fleming, et al.. (2015). Genetic associations of the interleukin locus at 1q32.1 with clinical outcomes of cutaneous melanoma. Journal of Medical Genetics. 52(4). 231–239. 17 indexed citations
13.
Fleming, Nathaniel H., Inês Pires da Silva, Richard L. Shapiro, et al.. (2014). Analysis of Recurrence Patterns in Acral Versus Nonacral Melanoma: Should Histologic Subtype Influence Treatment Guidelines?. Journal of the National Comprehensive Cancer Network. 12(12). 1706–1712. 38 indexed citations
14.
Rapkiewicz, Amy, et al.. (2011). ALK-negative anaplastic large cell lymphoma mimicking a soft tissue sarcoma. Journal of Cytology. 28(4). 230–233. 12 indexed citations
15.
Rose, Amy, Paul J. Christos, Richard L. Shapiro, et al.. (2011). Clinical Relevance of Detection of Lymphovascular Invasion in Primary Melanoma Using Endothelial Markers D2-40 and CD34. The American Journal of Surgical Pathology. 35(10). 1441–1449. 46 indexed citations
16.
Segura, Miguel F., Ilana Belitskaya‐Lévy, Amy Rose, et al.. (2010). Melanoma MicroRNA Signature Predicts Post-Recurrence Survival. Clinical Cancer Research. 16(5). 1577–1586. 173 indexed citations
17.
Warycha, Melanie, Jan Zakrzewski, Guimin Wang, et al.. (2009). Association of MDM2 SNP309, Age of Onset, and Gender in Cutaneous Melanoma. Clinical Cancer Research. 15(7). 2573–2580. 34 indexed citations
18.
Velázquez, Elsa F., Achim A. Jungbluth, Molly Yancovitz, et al.. (2007). Expression of the cancer/testis antigen NY-ESO-1 in primary and metastatic malignant melanoma (MM)--correlation with prognostic factors.. PubMed. 7. 11–11. 97 indexed citations
19.
Sontag, Stephen J., Malcolm Robinson, Walter M. Roufail, et al.. (1997). Daily omeprazole surpasses intermittent dosing in preventing relapse of oesophagitis: a US multi‐centre double‐blind study. Alimentary Pharmacology & Therapeutics. 11(2). 373–380. 17 indexed citations
20.
Berman, Russell S., et al.. (1953). Quinidine intoxication occurring during therapy of auricular arrhythmias.. PubMed. 36(10). 1052–60. 10 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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