Eric T. Gangl

2.1k total citations
33 papers, 733 citations indexed

About

Eric T. Gangl is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Eric T. Gangl has authored 33 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Pharmacology. Recurrent topics in Eric T. Gangl's work include Cancer therapeutics and mechanisms (5 papers), Analytical Chemistry and Chromatography (4 papers) and Estrogen and related hormone effects (4 papers). Eric T. Gangl is often cited by papers focused on Cancer therapeutics and mechanisms (5 papers), Analytical Chemistry and Chromatography (4 papers) and Estrogen and related hormone effects (4 papers). Eric T. Gangl collaborates with scholars based in United States, United Kingdom and Singapore. Eric T. Gangl's co-authors include Paul Vouros, Nicolas Gerber, Ilya Utkin, Neil Spooner, Robert J. Turesky, Barry L. Karger, František Foret, Haihong Zhou, James S. Scott and Petar Pop-Damkov and has published in prestigious journals such as Journal of Clinical Oncology, Analytical Chemistry and Cancer Research.

In The Last Decade

Eric T. Gangl

30 papers receiving 705 citations

Peers

Eric T. Gangl
Comparison fields: 5 of 79
  • Molecular Biology 234
  • Spectroscopy 209
  • Pharmacology 139
  • Infectious Diseases 137
  • Oncology 124
Replace Amale Hawi with:
Amale Hawi United States
Jeffrey Sailstad United States
Steve E. Unger United States
Chin‐Chung Lin United States
J H Lin United States
Gloria Y. Kwei United States
Nicholas M. Bonham Sweden
Jonathan Cheong United States
Jairam Palamanda United States
Oliver Hatley United Kingdom
Amale Hawi United States View profile →
Citations per field, relative to Eric T. Gangl
Eric T. Gangl · 1×
Citations per year, relative to Eric T. Gangl
Eric T. Gangl · 1×

Countries citing papers authored by Eric T. Gangl

Since Specialization
Citations

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

Fields of papers citing papers by Eric T. Gangl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric T. Gangl

This figure shows the co-authorship network connecting the top 25 collaborators of Eric T. Gangl. A scholar is included among the top collaborators of Eric T. Gangl 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 Eric T. Gangl. Eric T. Gangl 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 0
2 2
3 2
4 2
5 8
6 5
7 3
8 1
9 1
10 4
11 19
12 1
13 19
14 28
15 30
16 0
17 71
18 57
19 43
20
Metabolism of the human immunodeficiency virus protease inhibitors indinavir and ritonavir by human intestinal microsomes and expressed cytochrome P4503A4/3A5: mechanism-based inactivation of cytochrome P4503A by ritonavir.
194

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026