Gregorio Gil
- Biochemistry top 1%
- Oncology top 2%
- Drug Transport and Resistance Mechanisms 26
- Molecular Biology top 2%
- Peroxisome Proliferator-Activated Receptors 16
- RNA and protein synthesis mechanisms 13
- Plant biochemistry and biosynthesis 10
- Surgery top 1%
- Cholesterol and Lipid Metabolism 33
- Pediatric Hepatobiliary Diseases and Treatments 5
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism 7
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- Metabolism and Genetic Disorders 8
- Co-authors
- Michael S. BrownWilliam M. PandakTimothy F. OsborneJoseph L. GoldsteinPhillip B. HylemonDaniel J. ChinShunlin RenAntonio del Castillo‐Olivares
- Journals
- Journal of Biological Chemistry (15 papers)Journal of Lipid Research (13 papers)Molecular and Cellular Biology (5 papers)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Gregorio Gil
64 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Biochemistry 342
- Oncology 1.3k
- Molecular Biology 3.0k
- Surgery 1.9k
- Pharmacology 287
Countries citing papers authored by Gregorio Gil
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 39 | |
| 2 | 2012 | 19 | |
| 3 | 2010 | 63 | |
| 4 | Bile acids as regulatory moleculesbreakdown → | 2009 | 562 |
| 5 | 2008 | 69 | |
| 6 | 2006 | 31 | |
| 7 | 2005 | 63 | |
| 8 | 2004 | 54 | |
| 9 | 2004 | 21 | |
| 10 | 2004 | 57 | |
| 11 | 2003 | 28 | |
| 12 | 2002 | 18 | |
| 13 | 2002 | 24 | |
| 14 | 2002 | 112 | |
| 15 | 2002 | 26 | |
| 16 | 2001 | 75 | |
| 17 | 2001 | 59 | |
| 18 | 1995 | 54 | |
| 19 | 1994 | 16 | |
| 20 | 1982 | 6 |
About Gregorio Gil
Gregorio Gil is a scholar working on Clinical Biochemistry, Biochemistry and Oncology, having authored 64 papers that have together received 4.8k 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 Pediatric Hepatobiliary Diseases and Treatments (5 papers). The work is most often cited by research in Biochemistry (342 citations), Oncology (1.3k citations) and Molecular Biology (3.0k citations). Gregorio Gil has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Michael S. Brown, William M. Pandak, Timothy F. Osborne, Joseph L. Goldstein, Phillip B. Hylemon, Daniel J. Chin, Shunlin Ren, Antonio del Castillo‐Olivares, Huiping Zhou and K L Luskey. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.
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.