Jeff Holst

90 papers receiving 6.7k citations

Jeff Holst's Hit Papers

Distinct Immune Cell Populations Define Response to Anti-PD-1 Monotherapy and Anti-PD-1/Anti-CTLA-4 Combined Therapy 2019 · 777 citations
7770+3+7Years since publication250500750

Peers

Jeff Holst
Comparison fields: 5 of 130
  • Biochemistry 1.0k
  • Cancer Research 1.8k
  • Oncology 1.5k
  • Immunology 1.2k
  • Molecular Biology 3.5k
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Peggy P. Hsu United States
Bailin Zhang China
Yoav David Shaul Israel
Cristian Rodriguez‐Aguayo United States
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Citations per year

Countries citing papers authored by Jeff Holst

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Distinct Immune Cell Populations Define Response to Anti-PD-1 Monotherapy and Anti-PD-1/Anti-CTLA-4 Combined Therapy
Hit paper breakdown →
2019777
2
ASCT2/SLC1A5 controls glutamine uptake and tumour growth in triple-negative basal-like breast cancer
Hit paper breakdown →
2015508
3 2017352
4 2013352
5 2015289
6
L-type amino acid transport and cancer: targeting the mTORC1 pathway to inhibit neoplasia.
2015244
7 2010242
8 2006240
9 2006192
10 2014189
11 2020160
12 2013153
13 2011150
14 2010139
15 2006135
16 2008135
17 2021101
18 201098
19 201888
20 201588

About Jeff Holst

Jeff Holst is a scholar working on Biochemistry, Cancer Research, Molecular Biology, Oncology and Immunology, having authored 90 papers that have together received 6.7k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (25 papers), Epigenetics and DNA Methylation (21 papers), Cancer, Hypoxia, and Metabolism (12 papers), Cancer-related Molecular Pathways (7 papers), Natural Compounds in Disease Treatment (7 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Biochemistry (1.0k citations), Cancer Research (1.8k citations), Oncology (1.5k citations), Immunology (1.2k citations) and Molecular Biology (3.5k 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, Kate M. Vignali, Amanda R. Burton and Dadi Gao. Their work appears in journals such as International Journal of Cancer, Cancer Research, Journal of Natural Products, Journal of Biological Chemistry and Phytochemistry.

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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