Jeff Holst

8.1k total citations · 1 hit paper
79 papers, 4.8k citations indexed

About

Jeff Holst is a scholar working on Molecular Biology, Oncology and Biochemistry. According to data from OpenAlex, Jeff Holst has authored 79 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 21 papers in Oncology and 21 papers in Biochemistry. Recurrent topics in Jeff Holst's work include Amino Acid Enzymes and Metabolism (21 papers), Epigenetics and DNA Methylation (19 papers) and Cancer-related Molecular Pathways (8 papers). Jeff Holst is often cited by papers focused on Amino Acid Enzymes and Metabolism (21 papers), Epigenetics and DNA Methylation (19 papers) and Cancer-related Molecular Pathways (8 papers). Jeff Holst collaborates with scholars based in Australia, United States and United Kingdom. Jeff Holst's 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 and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jeff Holst

75 papers receiving 4.8k citations

Hit Papers

ASCT2/SLC1A5 controls glutamine uptake and tumour growth ... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeff Holst Australia 37 3.0k 1.5k 987 846 827 79 4.8k
Cristian Rodriguez‐Aguayo United States 39 3.7k 1.3× 2.3k 1.5× 890 0.9× 222 0.3× 545 0.7× 101 5.1k
Ivano Amelio Italy 33 2.9k 1.0× 1.8k 1.2× 1.4k 1.5× 179 0.2× 505 0.6× 84 4.7k
Sophie Vasseur France 36 2.6k 0.9× 1.7k 1.1× 1.4k 1.4× 193 0.2× 586 0.7× 60 4.6k
Juan Liu China 29 2.8k 1.0× 1.9k 1.3× 927 0.9× 200 0.2× 357 0.4× 118 4.3k
Jason R. Cantor United States 19 2.5k 0.9× 1.2k 0.8× 467 0.5× 252 0.3× 426 0.5× 27 3.6k
Jonas A. Nilsson Sweden 38 5.5k 1.8× 2.1k 1.4× 2.0k 2.0× 258 0.3× 1.5k 1.8× 110 7.8k
Bailin Zhang China 21 2.1k 0.7× 1.0k 0.7× 627 0.6× 375 0.4× 255 0.3× 93 3.7k
Kai Breuhahn Germany 41 3.1k 1.0× 1.4k 0.9× 1.0k 1.0× 187 0.2× 577 0.7× 128 5.2k
Brandon Faubert United States 23 4.3k 1.5× 2.9k 1.9× 1.3k 1.3× 217 0.3× 1.8k 2.2× 33 7.2k
Thomas Grewal Australia 43 3.1k 1.1× 1.1k 0.7× 517 0.5× 342 0.4× 784 0.9× 119 4.8k

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-authorship network of co-authors of Jeff Holst

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Holst. A scholar is included among the top collaborators of Jeff Holst based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeff Holst. Jeff Holst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Koshy, Pramod, et al.. (2025). Theranostic performance of EGFR-targeted ceria-based nanoparticles on EGFR-positive cancers. Journal of Biomaterials Applications. 40(3). 454–469.
2.
Venkat, Aarthi, Scott E. Youlten, Beatriz P. San Juan, et al.. (2025). Data from AAnet Resolves a Continuum of Spatially Localized Cell States to Unveil Intratumoral Heterogeneity.
3.
Venkat, Aarthi, Scott E. Youlten, Beatriz P. San Juan, et al.. (2025). AAnet Resolves a Continuum of Spatially Localized Cell States to Unveil Intratumoral Heterogeneity. Cancer Discovery. 15(10). 2139–2165.
4.
Wang, Qian, Lake‐Ee Quek, Angel Pang, et al.. (2024). Macropinocytosis mediates resistance to loss of glutamine transport in triple-negative breast cancer. The EMBO Journal. 43(23). 5857–5882. 5 indexed citations
5.
Kopecky, Chantal, Pramod Koshy, Yiling Liu, et al.. (2023). Theranostic Activity of Ceria-Based Nanoparticles toward Parental and Metastatic Melanoma: 2D vs 3D Models. ACS Biomaterials Science & Engineering. 9(2). 1053–1065. 5 indexed citations
6.
Jenkins, Misty R., Sarah A. Best, Saskia Freytag, et al.. (2023). From signalling pathways to targeted therapies: unravelling glioblastoma’s secrets and harnessing two decades of progress. Signal Transduction and Targeted Therapy. 8(1). 400–400. 53 indexed citations
7.
Koshy, Pramod, Chantal Kopecky, Joanna Biazik, et al.. (2023). ROS‐mediated anticancer effects of EGFR‐targeted nanoceria. Journal of Biomedical Materials Research Part A. 112(5). 754–769. 3 indexed citations
8.
Silva, Inês Pires da, Kevin Wang, James S. Wilmott, et al.. (2019). Distinct Molecular Profiles and Immunotherapy Treatment Outcomes of V600E and V600K BRAF -Mutant Melanoma. Clinical Cancer Research. 25(4). 1272–1279. 48 indexed citations
9.
Zhao, Yang, Ka Ka Ting, Jia Li, et al.. (2017). Targeting Vascular Endothelial-Cadherin in Tumor-Associated Blood Vessels Promotes T-cell–Mediated Immunotherapy. Cancer Research. 77(16). 4434–4447. 50 indexed citations
10.
Wong, Justin, Dadi Gao, Trung Viet Nguyen, et al.. (2017). Intron retention is regulated by altered MeCP2-mediated splicing factor recruitment. Nature Communications. 8(1). 15134–15134. 76 indexed citations
11.
Wibowo, Mario, Martin C. Sadowski, Colleen C. Nelson, et al.. (2016). Bioactive Dihydro-β-agarofuran Sesquiterpenoids from the Australian Rainforest PlantMaytenus bilocularis. Queensland's institutional digital repository (The University of Queensland). 1 indexed citations
12.
Xi, Zhichao, Yao Mu, Yang Li, et al.. (2016). Guttiferone K impedes cell cycle re-entry of quiescent prostate cancer cells via stabilization of FBXW7 and subsequent c-MYC degradation. Cell Death and Disease. 7(6). e2252–e2252. 36 indexed citations
13.
Wang, Qian, Jessamy Tiffen, Charles G. Bailey, et al.. (2013). Targeting Amino Acid Transport in Metastatic Castration-Resistant Prostate Cancer: Effects on Cell Cycle, Cell Growth, and Tumor Development. JNCI Journal of the National Cancer Institute. 105(19). 1463–1473. 141 indexed citations
14.
Wang, Qian, Charles G. Bailey, Cynthia Ng, et al.. (2011). Androgen Receptor and Nutrient Signaling Pathways Coordinate the Demand for Increased Amino Acid Transport during Prostate Cancer Progression. Cancer Research. 71(24). 7525–7536. 135 indexed citations
15.
Bröer, Angelika, Jessica M. Vanslambrouck, Peter S. Solomon, et al.. (2011). Impaired Nutrient Signaling and Body Weight Control in a Na+ Neutral Amino Acid Cotransporter (Slc6a19)-deficient Mouse. Journal of Biological Chemistry. 286(30). 26638–26651. 69 indexed citations
16.
Flamant, Stéphane, William Ritchie, Joëlle Guilhot, et al.. (2010). Micro-RNA response to imatinib mesylate in patients with chronic myeloid leukemia. Haematologica. 95(8). 1325–1333. 91 indexed citations
17.
Taft, Ryan J., Cas Simons, Satu Nahkuri, et al.. (2010). Nuclear-localized tiny RNAs are associated with transcription initiation and splice sites in metazoans. Nature Structural & Molecular Biology. 17(8). 1030–1034. 128 indexed citations
18.
Holst, Jeff, Haopeng Wang, Creg J. Workman, et al.. (2008). Scalable signaling mediated by T cell antigen receptor–CD3 ITAMs ensures effective negative selection and prevents autoimmunity. Nature Immunology. 9(6). 658–666. 131 indexed citations
19.
Kasmi, Karim C. El, Jeff Holst, Maryaline Coffre, et al.. (2006). General Nature of the STAT3-Activated Anti-Inflammatory Response. The Journal of Immunology. 177(11). 7880–7888. 186 indexed citations
20.
Holst, Jeff, Kate M. Vignali, Amanda R. Burton, & Dario A.A. Vignali. (2006). Rapid analysis of T-cell selection in vivo using T cell–receptor retrogenic mice. Nature Methods. 3(3). 191–197. 127 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026