Gerard T. Scanlon

743 total citations
21 papers, 557 citations indexed

About

Gerard T. Scanlon is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Gerard T. Scanlon has authored 21 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Gerard T. Scanlon's work include Medical Imaging Techniques and Applications (5 papers), Digital Radiography and Breast Imaging (3 papers) and Pleural and Pulmonary Diseases (2 papers). Gerard T. Scanlon is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Digital Radiography and Breast Imaging (3 papers) and Pleural and Pulmonary Diseases (2 papers). Gerard T. Scanlon collaborates with scholars based in United States. Gerard T. Scanlon's co-authors include Stephen G. Farmer, Michael W. Rytel, Jordan N. Fink, L Weinstein, Theodore Hersh, Daniel Burdick, John T. Prior, George F. Unger, Raymond G. Hoffmann and Roy Patterson and has published in prestigious journals such as Cancer, Radiology and CHEST Journal.

In The Last Decade

Gerard T. Scanlon

21 papers receiving 472 citations

Peers

Gerard T. Scanlon
Comparison fields: 5 of 96
  • Pulmonary and Respiratory Medicine 197
  • Epidemiology 136
  • Surgery 126
  • Infectious Diseases 77
  • Radiology, Nuclear Medicine and Imaging 67
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Citations per field, relative to Gerard T. Scanlon
Gerard T. Scanlon · 1×
Citations per year, relative to Gerard T. Scanlon
Gerard T. Scanlon · 1×

Countries citing papers authored by Gerard T. Scanlon

Since Specialization
Citations

This map shows the geographic impact of Gerard T. Scanlon'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 Gerard T. Scanlon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard T. Scanlon more than expected).

Fields of papers citing papers by Gerard T. Scanlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerard T. Scanlon. 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 Gerard T. Scanlon. The network helps show where Gerard T. Scanlon may publish in the future.

Co-authorship network of co-authors of Gerard T. Scanlon

This figure shows the co-authorship network connecting the top 25 collaborators of Gerard T. Scanlon. A scholar is included among the top collaborators of Gerard T. Scanlon 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 Gerard T. Scanlon. Gerard T. Scanlon 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 2
2 64
3 1
4 37
5 17
6
Radionuclide "dermal backflow" in lymphatic obstruction.
29
7 37
8 2
9 8
10 2
11 25
12 114
13 29
14 11
15 17
16 50
17
Uptake of selenomethionine by mouse and in human lymphomas, with observations on selenite and selenate.
21
18 16
19 44
20 12

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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