Donna Gilfor
Impact in
- Pharmacology top 2%
- Drug-Induced Hepatotoxicity and Protection
- Hepatology top 5%
- Liver physiology and pathology
Papers in
- Oncology 9
- Cancer-related Molecular Pathways 6
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- Cell death mechanisms and regulation 4
- Ubiquitin and proteasome pathways 2
- Co-authors
- John L. Farber (5 shared papers)J L Farber (3 shared papers)Ada Serroni (3 shared papers)Mark Curtis (1 shared paper)Marlene E. Kyle (2 shared papers)Stefania Miccadei (2 shared papers)Liang Qiao (6 shared papers)Philip B. Hylemon (5 shared papers)
- Journals
- Archives of Biochemistry and Biophysics (3 papers)Cancer Biology & Therapy (2 papers)Hepatology (2 papers)Journal of Biological Chemistry (2 papers)Journal of Lipid Research (1 paper)
- Partner nations
- United StatesRussiaFrance
In The Last Decade
Donna Gilfor
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Pharmacology 220
- Hepatology 133
- Oncology 327
- Biochemistry 88
- Biochemistry 50
Countries citing papers authored by Donna Gilfor
This map shows the geographic impact of Donna Gilfor'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 Donna Gilfor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna Gilfor more than expected).
Fields of papers citing papers by Donna Gilfor
This network shows the impact of papers produced by Donna Gilfor. 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 Donna Gilfor. The network helps show where Donna Gilfor may publish in the future.
Co-authors
The 25 scholars most cited alongside Donna Gilfor, 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 | 2013 | 162 | |
| 2 | 2003 | 134 | |
| 3 | 1982 | 130 | |
| 4 | 1984 | 103 | |
| 5 | 1988 | 91 | |
| 6 | 1985 | 88 | |
| 7 | 2000 | 71 | |
| 8 | 1989 | 71 | |
| 9 | 2001 | 56 | |
| 10 | 2000 | 42 | |
| 11 | 2002 | 42 | |
| 12 | 1988 | 39 | |
| 13 | 1985 | 36 | |
| 14 | 2008 | 17 | |
| 15 | 2005 | 16 | |
| 16 | 2003 | 14 | |
| 17 | 2006 | 9 | |
| 18 | 1986 | 9 | |
| 19 | 2003 | 2 |
About Donna Gilfor
Donna Gilfor is a scholar working on Oncology, Molecular Biology, Pharmacology, Hepatology and Epidemiology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Cell death mechanisms and regulation (4 papers), Liver physiology and pathology (4 papers), Ubiquitin and proteasome pathways (2 papers), Fatty Acid Research and Health (2 papers), Microtubule and mitosis dynamics (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Pharmacology (220 citations), Hepatology (133 citations), Oncology (327 citations), Biochemistry (88 citations) and Biochemistry (50 citations). Donna Gilfor has collaborated with scholars based in United States, Russia and France. Frequent co-authors include John L. Farber, J L Farber, Ada Serroni, Mark Curtis, Marlene E. Kyle, Stefania Miccadei, Liang Qiao, Philip B. Hylemon, Steven Grant and Paul B. Fisher. Their work appears in journals such as Archives of Biochemistry and Biophysics, Cancer Biology & Therapy, Hepatology, Journal of Biological Chemistry and Journal of Lipid Research.
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.