Jeff Holst
Impact in
- Biochemistry top 0.2%
- Amino Acid Enzymes and Metabolism
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
Papers in
-
- Epigenetics and DNA Methylation 16
- Polyamine Metabolism and Applications 5
- Biochemistry 21
- Amino Acid Enzymes and Metabolism 21
- Co-authors
- Qian Wang (25 shared papers)John E.J. Rasko (28 shared papers)Charles G. Bailey (18 shared papers)Michelle van Geldermalsen (12 shared papers)William Ritchie (11 shared papers)Dario A.A. Vignali (5 shared papers)Annora Thoeng (9 shared papers)Dadi Gao (9 shared papers)
- Journals
- International Journal of Cancer (3 papers)Journal of Biological Chemistry (3 papers)Journal of Natural Products (3 papers)Oncogene (2 papers)Cancer Research (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Jeff Holst
77 papers receiving 5.0k citations
Jeff Holst's Hit Papers
Peers
Comparison fields: 5 of 125
- Biochemistry 842
- Cancer Research 1.4k
- Molecular Biology 2.7k
- Immunology 802
- Oncology 904
Countries citing papers authored by Jeff Holst
This map shows the geographic impact of Jeff Holst'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 Jeff Holst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Holst more than expected).
Fields of papers citing papers by Jeff Holst
This network shows the impact of papers produced by Jeff Holst. 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 Jeff Holst. The network helps show where Jeff Holst may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Holst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ASCT2/SLC1A5 controls glutamine uptake and tumour growth in triple-negative basal-like breast cancer Hit paper breakdown → | 2015 | 491 |
| 2 | 2013 | 348 | |
| 3 | 2017 | 338 | |
| 4 | L-type amino acid transport and cancer: targeting the mTORC1 pathway to inhibit neoplasia. | 2015 | 240 |
| 5 | 2010 | 236 | |
| 6 | 2006 | 219 | |
| 7 | 2006 | 191 | |
| 8 | 2014 | 186 | |
| 9 | 2020 | 152 | |
| 10 | 2013 | 144 | |
| 11 | 2011 | 138 | |
| 12 | 2010 | 137 | |
| 13 | 2008 | 134 | |
| 14 | 2006 | 130 | |
| 15 | 2010 | 95 | |
| 16 | 2015 | 87 | |
| 17 | 2010 | 81 | |
| 18 | 2017 | 79 | |
| 19 | 2019 | 79 | |
| 20 | 2011 | 73 |
About Jeff Holst
Jeff Holst is a scholar working on Molecular Biology, Biochemistry, Oncology, Cancer Research and Immunology, having authored 80 papers that have together received 5.0k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (21 papers), Epigenetics and DNA Methylation (16 papers), Natural Compounds in Disease Treatment (7 papers), Cancer-related Molecular Pathways (6 papers), Prostate Cancer Treatment and Research (5 papers), Polyamine Metabolism and Applications (5 papers), Metabolism and Genetic Disorders (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Biochemistry (842 citations), Cancer Research (1.4k citations), Molecular Biology (2.7k citations), Immunology (802 citations) and Oncology (904 citations). Jeff Holst has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Qian Wang, John E.J. Rasko, Charles G. Bailey, Michelle van Geldermalsen, William Ritchie, Dario A.A. Vignali, Annora Thoeng, Dadi Gao, Kate M. Vignali and Amanda R. Burton. Their work appears in journals such as International Journal of Cancer, Journal of Biological Chemistry, Journal of Natural Products, Oncogene and Cancer 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.