Galen Cortina

2.2k total citations
33 papers, 1.4k citations indexed

About

Galen Cortina is a scholar working on Surgery, Oncology and Epidemiology. According to data from OpenAlex, Galen Cortina has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 10 papers in Oncology and 9 papers in Epidemiology. Recurrent topics in Galen Cortina's work include Pancreatic and Hepatic Oncology Research (4 papers), Digestive system and related health (4 papers) and Clinical Nutrition and Gastroenterology (3 papers). Galen Cortina is often cited by papers focused on Pancreatic and Hepatic Oncology Research (4 papers), Digestive system and related health (4 papers) and Clinical Nutrition and Gastroenterology (3 papers). Galen Cortina collaborates with scholars based in United States. Galen Cortina's co-authors include Michael C. Fishbein, Edward H. Livingston, Judy Melinek, O. Joe Hines, Douglas G. Farmer, Howard A. Reber, Ardis Moe, Ross Cranston, Sharon L. Hirschowitz and Martı́n G. Martı́n and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and The Journal of Urology.

In The Last Decade

Galen Cortina

33 papers receiving 1.4k citations

Peers

Galen Cortina
Comparison fields: 5 of 85
  • Surgery 800
  • Epidemiology 352
  • Genetics 248
  • Oncology 241
  • Gastroenterology 217
Replace Danielle Canioni with:
Danielle Canioni France
M J G Farthing United Kingdom
K. Lewin United States
Shajan Peter United States
I. Hamilton United Kingdom
Shingo Kato Japan
Zoltán Szepes Hungary
P. Stubbe Teglbjærg Denmark
Erin Barnes United States
Hernán Correa United States
Danielle Canioni France View profile →
Citations per field, relative to Galen Cortina
Galen Cortina · 1×
Citations per year, relative to Galen Cortina
Galen Cortina · 1×

Countries citing papers authored by Galen Cortina

Since Specialization
Citations

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

Fields of papers citing papers by Galen Cortina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Galen Cortina. 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 Galen Cortina. The network helps show where Galen Cortina may publish in the future.

Co-authorship network of co-authors of Galen Cortina

This figure shows the co-authorship network connecting the top 25 collaborators of Galen Cortina. A scholar is included among the top collaborators of Galen Cortina 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 Galen Cortina. Galen Cortina 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 36
2 3
3 18
4 13
5 73
6 122
7 87
8 55
9 21
10 8
11 9
12 31
13 217
14 69
15 63
16 23
17 12
18 31
19 5
20 24

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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