Jules J. Berman

7.9k total citations · 1 hit paper
100 papers, 4.9k citations indexed

About

Jules J. Berman is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Jules J. Berman has authored 100 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 22 papers in Artificial Intelligence and 17 papers in Oncology. Recurrent topics in Jules J. Berman's work include Biomedical Text Mining and Ontologies (21 papers), AI in cancer detection (10 papers) and Cancer Genomics and Diagnostics (9 papers). Jules J. Berman is often cited by papers focused on Biomedical Text Mining and Ontologies (21 papers), AI in cancer detection (10 papers) and Cancer Genomics and Diagnostics (9 papers). Jules J. Berman collaborates with scholars based in United States, India and Russia. Jules J. Berman's co-authors include Timothy J. O’Leary, Fred Gorstein, B. Jack Longley, Jerzy Lasota, Sharon W. Weiss, Helen Remotti, Leslie H. Sobin, Christopher L. Corless, Markku Miettinen and Barry M. Shmookler and has published in prestigious journals such as JAMA, JNCI Journal of the National Cancer Institute and Cancer.

In The Last Decade

Jules J. Berman

99 papers receiving 4.6k citations

Hit Papers

Diagnosis of gastrointestinal stromal tumors: A consensus... 2002 2026 2010 2018 2002 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jules J. Berman United States 25 3.0k 2.6k 2.2k 711 408 100 4.9k
Kouros Owzar United States 31 1.8k 0.6× 2.2k 0.9× 1.5k 0.7× 1.3k 1.9× 437 1.1× 150 5.9k
Shingo Ishiguro Japan 34 3.3k 1.1× 4.2k 1.6× 3.1k 1.4× 1.0k 1.4× 562 1.4× 169 7.8k
Roland S. Croner Germany 31 375 0.1× 852 0.3× 1.1k 0.5× 827 1.2× 155 0.4× 230 3.7k
Soichiro Ishihara Japan 39 865 0.3× 2.1k 0.8× 2.5k 1.1× 602 0.8× 27 0.1× 385 6.6k
Yuan Ji China 41 284 0.1× 1.4k 0.6× 1.5k 0.7× 1.6k 2.2× 262 0.6× 244 5.9k
Heikki Helin Finland 32 253 0.1× 879 0.3× 443 0.2× 985 1.4× 78 0.2× 117 3.9k
James E. East United Kingdom 46 927 0.3× 3.4k 1.3× 2.6k 1.2× 449 0.6× 58 0.1× 177 7.1k
Mi Lin China 34 915 0.3× 2.3k 0.9× 1.5k 0.7× 534 0.8× 51 0.1× 238 4.0k
Gary Longton United States 43 233 0.1× 1.3k 0.5× 1.5k 0.7× 1.3k 1.8× 54 0.1× 87 7.1k
Tae Won Kim South Korea 44 607 0.2× 2.5k 1.0× 1.7k 0.7× 1.3k 1.8× 166 0.4× 296 7.5k

Countries citing papers authored by Jules J. Berman

Since Specialization
Citations

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

Fields of papers citing papers by Jules J. Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jules J. Berman

This figure shows the co-authorship network connecting the top 25 collaborators of Jules J. Berman. A scholar is included among the top collaborators of Jules J. 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 Jules J. Berman. Jules J. 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.
Berman, Jules J.. (2013). Principles of Big Data: Preparing, Sharing, and Analyzing Complex Information. CERN Document Server (European Organization for Nuclear Research). 288–288. 99 indexed citations
2.
Berman, Jules J.. (2011). Informatics research using publicly available pathology data. Journal of Pathology Informatics. 2(1). 5–5. 1 indexed citations
3.
Kang, Hyunseok P., Charles Borromeo, Jules J. Berman, & Michael J. Becich. (2010). The tissue microarray OWL schema: An open-source tool for sharing tissue microarray data. Journal of Pathology Informatics. 1(1). 9–9. 4 indexed citations
4.
Berman, Jules J.. (2007). Perl Programming for Medicine and Biology. 3 indexed citations
5.
Kajdacsy‐Balla, Andre, Virgilia Macias, Suman Setty, et al.. (2007). Practical aspects of planning, building, and interpreting tissue microarrays: The Cooperative Prostate Cancer Tissue Resource experience. Journal of Molecular Histology. 38(2). 113–121. 36 indexed citations
6.
Berman, Jules J.. (2005). Modern classification of neoplasms: reconciling differences between morphologic and molecular approaches. BMC Cancer. 5(1). 100–100. 8 indexed citations
7.
Berman, Jules J. & Kishor Bhatia. (2005). Biomedical data integration: using XML to link clinical and research data sets. Expert Review of Molecular Diagnostics. 5(3). 329–336. 6 indexed citations
8.
Berman, Jules J.. (2005). Automatic extraction of candidate nomenclature terms using the doublet method. BMC Medical Informatics and Decision Making. 5(1). 35–35. 4 indexed citations
9.
Berman, Jules J.. (2004). Tumor classification: molecular analysis meets Aristotle. BMC Cancer. 4(1). 10–10. 37 indexed citations
10.
Berman, Jules J.. (2004). Pathology data integration with eXtensible Markup Language. Human Pathology. 36(2). 139–145. 12 indexed citations
11.
Berman, Jules J. & Donald E. Henson. (2003). Classifying the precancers: A metadata approach. BMC Medical Informatics and Decision Making. 3(1). 8–8. 12 indexed citations
12.
Berman, Jules J.. (2003). A tool for sharing annotated research data: the "Category 0" UMLS (Unified Medical Language System) vocabularies. BMC Medical Informatics and Decision Making. 3(1). 6–6. 4 indexed citations
13.
Berman, Jules J., et al.. (1998). U.S. Senate Bill 422. Diagnostic Molecular Pathology. 7(4). 192–196. 5 indexed citations
14.
Berman, Jules J. & G. William Moore. (1994). Image analysis software for the detection of preneoplastic and early neoplastic lesions. Cancer Letters. 77(2-3). 103–109. 7 indexed citations
15.
Berman, Jules J., et al.. (1993). Primary ileocecal tuberculosis.. American Journal of Roentgenology. 160(2). 278–278. 6 indexed citations
16.
Thomas, Rebecca, et al.. (1992). Liver cell dysplasia: A DNA aneuploid lesion with distinct morphologic features. Human Pathology. 23(5). 496–503. 51 indexed citations
17.
Seidman, Jeffrey D., et al.. (1991). Basaloid squamous carcinoma of the hypopharynx and larynx associated with second primary tumors. Cancer. 68(7). 1545–1549. 39 indexed citations
18.
Berman, Jules J., Charles L. Hitchcock, Robert L. Becker, et al.. (1991). DNA Analysis of cardiac myxomas: Flow cytometry and image analysis. Human Pathology. 22(5). 494–500. 15 indexed citations
19.
Moore, Gary & Jules J. Berman. (1991). Cell growth simulations predicting polyclonal origins for ‘monoclonal’ tumors. Cancer Letters. 60(2). 113–119. 6 indexed citations
20.
Williams, Gary M., Charles C. L. Tong, & Jules J. Berman. (1978). Characterization of analog resistance and purine metabolism of adult rat-liver epithelial cell 8-azaguanine-resistant mutants. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 49(1). 103–115. 18 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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