R. Marc Learned
Impact in
- Oncology top 1%
- Drug Transport and Resistance Mechanisms
- Hepatology top 2%
- Liver Diseases and Immunity
Papers in
-
- Fibroblast Growth Factor Research 9
- Peroxisome Proliferator-Activated Receptors 5
- Kruppel-like factors research 5
- Epigenetics and DNA Methylation 3
- Plant biochemistry and biosynthesis 3
- Cancer therapeutics and mechanisms 2
- Co-authors
- Bei ShanKevin D. LustigMitchell HullMakoto MakishimaDavid J. MangelsdorfJoyce J. RepaHua TuHui Tian
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Biological Chemistry (2 papers)The Plant Journal (2 papers)Cancer Research (1 paper)PLANT PHYSIOLOGY (1 paper)
- Partner nations
- United StatesQatarJapan
In The Last Decade
R. Marc Learned
19 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Oncology 1.9k
- Hepatology 414
- Pharmacology 297
- Surgery 1.3k
- Epidemiology 954
Countries citing papers authored by R. Marc Learned
This map shows the geographic impact of R. Marc Learned'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 R. Marc Learned with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Marc Learned more than expected).
Fields of papers citing papers by R. Marc Learned
This network shows the impact of papers produced by R. Marc Learned. 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 R. Marc Learned. The network helps show where R. Marc Learned may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R. Marc Learned, 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 | 29 | |
| 2 | 2019 | 51 | |
| 3 | 2017 | 84 | |
| 4 | 2017 | 105 | |
| 5 | 2017 | 124 | |
| 6 | 2015 | 105 | |
| 7 | Engineered FGF19 reduces liver injury and resolves sclerosing cholangitis in Mdr2 -deficient mice | 2015 | 5 |
| 8 | 2014 | 153 | |
| 9 | 2014 | 138 | |
| 10 | 2009 | 98 | |
| 11 | 2008 | 61 | |
| 12 | 2002 | 263 | |
| 13 | 1999 | 72 | |
| 14 | Identification of a Nuclear Receptor for Bile Acids Hit paper breakdown → | 1999 | 2206 |
| 15 | 1999 | 134 | |
| 16 | 1998 | 55 | |
| 17 | 1997 | 37 | |
| 18 | 1996 | 65 | |
| 19 | 1995 | 50 |
About R. Marc Learned
R. Marc Learned is a scholar working on Biochemistry, Molecular Biology, Oncology, Biochemistry and Hepatology, having authored 19 papers that have together received 3.8k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (9 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Kruppel-like factors research (5 papers), Drug Transport and Resistance Mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Plant biochemistry and biosynthesis (3 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Oncology (1.9k citations), Hepatology (414 citations), Pharmacology (297 citations), Surgery (1.3k citations) and Epidemiology (954 citations). R. Marc Learned has collaborated with scholars based in United States, Qatar and Japan. Frequent co-authors include Bei Shan, Kevin D. Lustig, Mitchell Hull, Makoto Makishima, David J. Mangelsdorf, Joyce J. Repa, Hua Tu, Hui Tian, Lei Ling and Alex M. DePaoli. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, The Plant Journal, Cancer Research and PLANT PHYSIOLOGY.
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.