Gregorio Gil

64 papers receiving 4.7k citations

Gregorio Gil's Hit Papers

Bile acids as regulatory molecules 2009 · 603 citations
6030+5+11Years since publication200400600

Peers

Gregorio Gil
Comparison fields: 5 of 102
  • Oncology 1.3k
  • Biochemistry 344
  • Surgery 1.8k
  • Molecular Biology 3.0k
  • Pharmacology 302
Replace Gregory A. Graf with:
Gregory A. Graf United States
Bernardo L. Trigatti Canada
Hueng-Sik Choi South Korea
Frances M. Sladek United States
Hisashi Shinozuka United States
Julie B. Stimmel United States
Terence J. Scallen United States
Michael R. Briggs United States
Randy K. Bledsoe United States
Hiroaki Okazaki Japan
Gregorio Gil relative to Gregory A. Graf United States Gregory A. Graf's profile →
Citations per field
00.5×2×2.9×
Gregory A. Graf · 1×
Citations per year

Countries citing papers authored by Gregorio Gil

Since Specialization
Citations

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

Fields of papers citing papers by Gregorio Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gregorio Gil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gregorio Gil Line = papers co-authored together Gregorio Gil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bile acids as regulatory molecules
Hit paper breakdown →
2009603
2 1984495
3 1985349
4 1986307
5 1984248
6 1988180
7 1988160
8 1988149
9 1992139
10 1985121
11 2002120
12 2000116
13 1986108
14 200389
15 200481
16 200179
17 200877
18 198775
19 200571
20 201067

About Gregorio Gil

Gregorio Gil is a scholar working on Oncology, Surgery, Molecular Biology, Clinical Biochemistry and Pharmacology, having authored 64 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (33 papers), Drug Transport and Resistance Mechanisms (26 papers), Peroxisome Proliferator-Activated Receptors (16 papers), RNA and protein synthesis mechanisms (13 papers), Plant biochemistry and biosynthesis (10 papers), Metabolism and Genetic Disorders (8 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Hormonal Regulation and Hypertension (5 papers). The work is most often cited by research in Oncology (1.3k citations), Biochemistry (344 citations), Surgery (1.8k citations), Molecular Biology (3.0k citations) and Pharmacology (302 citations). Gregorio Gil has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Michael Scott Brown, William M. Pandak, Timothy F. Osborne, Phillip B. Hylemon, Joseph L. Goldstein, Shunlin Ren, Daniel J. Chin, Antonio del Castillo‐Olivares, Huiping Zhou and Kenneth L. Luskey. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Molecular and Cellular Biology, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Proceedings of the National Academy of Sciences.

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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