Brian J. Kaplan

1.4k citations
56 papers · 1.0k · h-index 16

Impact in

    • Breast Cancer Treatment Studies
  • Surgery top 10%
    • Surgical Simulation and Training
    • Breast Implant and Reconstruction
    • Esophageal Cancer Research and Treatment

Papers in

    • Pancreatic and Hepatic Oncology Research 14
    • Surgical Simulation and Training 5
    • Esophageal Cancer Research and Treatment 3
    • Esophageal and GI Pathology 3

Brian J. Kaplan

51 papers receiving 1.0k citations

Peers

Brian J. Kaplan
Comparison fields: 5 of 103
  • Cancer Research 169
  • Surgery 401
  • Oncology 116
  • Emergency Medicine 33
  • Pathology and Forensic Medicine 64
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Brian J. Kaplan relative to Jim Barber United Kingdom Jim Barber's profile →
Citations per field
00.5×5.8×
Jim Barber · 1×
Citations per year

Countries citing papers authored by Brian J. Kaplan

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003134
2 200291
3 201884
4 200284
5 200759
6 201254
7 200244
8 201940
9 200540
10 201735
11 201333
12 201132
13 202032
14 200821
15 201821
16 200320
17 202315
18 201515
19
Tympanic neurectomy. Correction of drooling in cerebral palsy.
197513
20 201912

About Brian J. Kaplan

Brian J. Kaplan is a scholar working on Oncology, Surgery, Cancer Research, Pulmonary and Respiratory Medicine and General Health Professions, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (14 papers), Surgical Simulation and Training (5 papers), Breast Cancer Treatment Studies (4 papers), Hospital Admissions and Outcomes (4 papers), Cancer Genomics and Diagnostics (3 papers), Diversity and Career in Medicine (3 papers), Esophageal Cancer Research and Treatment (3 papers) and Esophageal and GI Pathology (3 papers). The work is most often cited by research in Cancer Research (169 citations), Surgery (401 citations), Oncology (116 citations), Emergency Medicine (33 citations) and Pathology and Forensic Medicine (64 citations). Brian J. Kaplan has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Eric J. DeMaria, Michael Amendola, Timothy J. Broderick, Kelley M. Dodson, Nathaniel Lee, Nital Appelbaum, Walter Lawrence, Yvonne M. Mowery, Mohamed R. Ali and Shanu N. Kothari. Their work appears in journals such as Journal of surgical education, Journal of Surgical Oncology, HPB, International Journal of Radiation Oncology*Biology*Physics and Advances in Radiation 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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