David G. Jagelman

8.5k total citations
97 papers, 6.2k citations indexed

About

David G. Jagelman is a scholar working on Surgery, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, David G. Jagelman has authored 97 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Surgery, 38 papers in Oncology and 25 papers in Pathology and Forensic Medicine. Recurrent topics in David G. Jagelman's work include Colorectal Cancer Surgical Treatments (28 papers), Genetic factors in colorectal cancer (23 papers) and Inflammatory Bowel Disease (17 papers). David G. Jagelman is often cited by papers focused on Colorectal Cancer Surgical Treatments (28 papers), Genetic factors in colorectal cancer (23 papers) and Inflammatory Bowel Disease (17 papers). David G. Jagelman collaborates with scholars based in United States, United Kingdom and Canada. David G. Jagelman's co-authors include Ian C. Lavery, Victor W. Fazio, Steven D. Wexner, Frank L. Weakley, Juan J. Nogueras, Ellen McGannon, Olaf B. Johansen, Steven D. Wexner, Ian T. Jones and Floriano Marchetti and has published in prestigious journals such as Science, New England Journal of Medicine and The Lancet.

In The Last Decade

David G. Jagelman

96 papers receiving 5.8k citations

Peers

David G. Jagelman
Comparison fields: 5 of 101
  • Surgery 3.9k
  • Oncology 2.5k
  • Pathology and Forensic Medicine 1.7k
  • Rheumatology 1.5k
  • Pulmonary and Respiratory Medicine 1.4k
Replace Ira J. Kodner with:
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David K. Driman Canada
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E. S. R. Hughes Australia
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Brigitte Bader‐Meunier France
Ira J. Kodner United States View profile →
Citations per field, relative to David G. Jagelman
David G. Jagelman · 1×
Citations per year, relative to David G. Jagelman
David G. Jagelman · 1×

Countries citing papers authored by David G. Jagelman

Since Specialization
Citations

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

Fields of papers citing papers by David G. Jagelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Jagelman

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Jagelman. A scholar is included among the top collaborators of David G. Jagelman 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 G. Jagelman. David G. Jagelman 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
# Work Indexed citations
1 110
2 28
3 8
4 59
5 101
6 48
7 50
8 105
9 118
10 171
11 6
12 30
13 44
14 24
15 37
16 36
17 72
18 164
19 4
20 22

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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