Gene Chang

452 total citations
8 papers, 332 citations indexed

About

Gene Chang is a scholar working on Surgery, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gene Chang has authored 8 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 3 papers in Pathology and Forensic Medicine and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Gene Chang's work include Transplantation: Methods and Outcomes (4 papers), Cardiac Ischemia and Reperfusion (3 papers) and Hormonal and reproductive studies (1 paper). Gene Chang is often cited by papers focused on Transplantation: Methods and Outcomes (4 papers), Cardiac Ischemia and Reperfusion (3 papers) and Hormonal and reproductive studies (1 paper). Gene Chang collaborates with scholars based in United States. Gene Chang's co-authors include Howard C. Herrmann, Paul Mahoney, Bruce D. Klugherz, Robert L. Wilensky, Vincent See, David DeNofrio, Evan Loh, John W. Hirshfeld, Andrew Kao and Daniel M. Kolansky and has published in prestigious journals such as New England Journal of Medicine, The American Journal of Cardiology and American Heart Journal.

In The Last Decade

Gene Chang

8 papers receiving 316 citations

Peers

Gene Chang
Comparison fields: 5 of 58
  • Psychiatry and Mental health 148
  • Cardiology and Cardiovascular Medicine 134
  • Endocrinology, Diabetes and Metabolism 134
  • Surgery 73
  • Pulmonary and Respiratory Medicine 59
Replace C. Vlachopoulos with:
C. Vlachopoulos Greece
Rae Duncan Australia
Emilio Chiurlia Italy
Constadina Aggeli Greece
Gautham Ravipati United States
Ohseong Kwon South Korea
Brian B. Quebbemann United States
Jerzy Adamus Poland
Rami Abd‐Rabu United States
Zeynettin Kaya Türkiye
C. Vlachopoulos Greece View profile →
Citations per field, relative to Gene Chang
Gene Chang · 1×
Citations per year, relative to Gene Chang
Gene Chang · 1×

Countries citing papers authored by Gene Chang

Since Specialization
Citations

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

Fields of papers citing papers by Gene Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gene Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Gene Chang. A scholar is included among the top collaborators of Gene Chang 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 Gene Chang. Gene Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
# Work Indexed citations
1 42
2 8
3 28
4 32
5 1
6 202
7 7
8 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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