Mitchell G. Goldenberg

1.4k citations
49 papers · 871 · h-index 15

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Surgery top 10%
    • Surgical Simulation and Training

Papers in

Mitchell G. Goldenberg

49 papers receiving 854 citations

Peers

Mitchell G. Goldenberg
Comparison fields: 5 of 111
  • Health Informatics 88
  • Surgery 474
  • Family Practice 22
  • Cardiology and Cardiovascular Medicine 228
  • Research and Theory 8
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Citations per year

Countries citing papers authored by Mitchell G. Goldenberg

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell G. Goldenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell G. Goldenberg. 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 Mitchell G. Goldenberg. The network helps show where Mitchell G. Goldenberg may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014110
2 202097
3 201768
4 201964
5 201759
6 202137
7 201933
8 202132
9 201829
10 201628
11 202024
12 201822
13 202319
14 202018
15 201616
16 201913
17 201713
18 202213
19 201913
20 201612

About Mitchell G. Goldenberg

Mitchell G. Goldenberg is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Public Health, Environmental and Occupational Health and Physiology, having authored 49 papers that have together received 871 indexed citations. Recurring topics across this work include Surgical Simulation and Training (30 papers), Cardiac, Anesthesia and Surgical Outcomes (28 papers), Anatomy and Medical Technology (9 papers), Simulation-Based Education in Healthcare (7 papers), Innovations in Medical Education (6 papers), Patient Safety and Medication Errors (6 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Colorectal Cancer Surgical Treatments (4 papers). The work is most often cited by research in Health Informatics (88 citations), Surgery (474 citations), Family Practice (22 citations), Cardiology and Cardiovascular Medicine (228 citations) and Research and Theory (8 citations). Mitchell G. Goldenberg has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Teodor Grantcharov, Jason Y. Lee, James J. Jung, Larry Goldenberg, Frank Rudzicz, Babak Taati, Ariel Felner, Roni Stern, Robert C. Holte and Gil Sharon. Their work appears in journals such as Journal of Endourology, Journal of surgical education, The American Journal of Surgery, The Journal of Urology and JAMA Network Open.

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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