Jamie Bates

1.4k total citations
20 papers, 664 citations indexed

About

Jamie Bates is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Jamie Bates has authored 20 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in Jamie Bates's work include Liver Disease Diagnosis and Treatment (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Immune Cell Function and Interaction (3 papers). Jamie Bates is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Immune Cell Function and Interaction (3 papers). Jamie Bates collaborates with scholars based in United States, United Kingdom and Austria. Jamie Bates's co-authors include Ricardo Ramírez, Mark S. Schlissel, Ting Wang, Gary W. Cline, Li Li, Daniel F. Vatner, Rachel J. Perry, Kari E. Wong, Leigh Goedeke and Carine Beysen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Jamie Bates

18 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie Bates United States 8 307 257 177 103 100 20 664
Aastha Jindal Italy 5 203 0.7× 336 1.3× 108 0.6× 85 0.8× 173 1.7× 8 627
Elena Arriazu Spain 13 281 0.9× 313 1.2× 72 0.4× 65 0.6× 244 2.4× 16 816
Enara Arretxe Spain 11 329 1.1× 302 1.2× 43 0.2× 96 0.9× 93 0.9× 14 668
Romain Désert United States 14 287 0.9× 209 0.8× 82 0.5× 38 0.4× 168 1.7× 28 694
Robert Sherwin United States 4 267 0.9× 117 0.5× 74 0.4× 91 0.9× 47 0.5× 7 478
Nozomi Tochiki Japan 12 144 0.5× 132 0.5× 130 0.7× 55 0.5× 32 0.3× 20 404
Teresa Peccerella Germany 14 172 0.6× 191 0.7× 47 0.3× 42 0.4× 86 0.9× 35 556
Tixiao Wang China 12 290 0.9× 123 0.5× 257 1.5× 34 0.3× 69 0.7× 18 654
Hisato Maekawa Japan 10 293 1.0× 129 0.5× 37 0.2× 50 0.5× 155 1.6× 19 570
Roman Liebe Germany 11 135 0.4× 260 1.0× 37 0.2× 72 0.7× 192 1.9× 36 468

Countries citing papers authored by Jamie Bates

Since Specialization
Citations

This map shows the geographic impact of Jamie Bates'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 Jamie Bates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Bates more than expected).

Fields of papers citing papers by Jamie Bates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie Bates. 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 Jamie Bates. The network helps show where Jamie Bates may publish in the future.

Co-authorship network of co-authors of Jamie Bates

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Bates. A scholar is included among the top collaborators of Jamie Bates 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 Jamie Bates. Jamie Bates 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.
Markovits, Ettai, Michael Mints, K. Bloom, et al.. (2025). Spatial profiling of HPV-stratified head and neck squamous cell carcinoma reveals distinct immune niches and microenvironmental architectures. Journal of Translational Medicine. 23(1). 1304–1304. 1 indexed citations
2.
Tracy, Ian, Maria Fernanda Setúbal Destro Rodrigues, Michael Smith, et al.. (2025). Single cell and spatial analysis of immune-hot and immune-cold tumours identifies fibroblast subtypes associated with distinct immunological niches and positive immunotherapy response. Molecular Cancer. 24(1). 3–3. 16 indexed citations
3.
Narkhede, Mayur, Nancy L. Bartlett, Sami Ibrahimi, et al.. (2023). A phase 1 first‐in‐human study of GS‐0189, an anti‐signal regulatory protein alpha (SIRPα) monoclonal antibody, in patients with relapsed/refractory (R/R) non‐Hodgkin lymphoma (NHL). SHILAP Revista de lepidopterología. 4(2). 370–380. 6 indexed citations
4.
Burdette, Dara, Ricardo Ramírez, Archana Vijayakumar, et al.. (2022). Targeting lipid biosynthesis pathways for hepatitis B virus cure. PLoS ONE. 17(8). e0270273–e0270273. 12 indexed citations
5.
Vijayakumar, Archana, Ting Wang, Saritha Kusam, et al.. (2022). Combinations of an acetyl CoA carboxylase inhibitor with hepatic lipid modulating agents do not augment antifibrotic efficacy in preclinical models of NASH and fibrosis. Hepatology Communications. 6(9). 2298–2309. 9 indexed citations
6.
Bates, Jamie, Archana Vijayakumar, Sarani Ghoshal, et al.. (2020). Acetyl-CoA carboxylase inhibition disrupts metabolic reprogramming during hepatic stellate cell activation. Journal of Hepatology. 73(4). 896–905. 154 indexed citations
7.
Vijayakumar, Archana, Ting Wang, David Hollenback, et al.. (2020). Efficacy and safety of an acetyl CoA carboxylase inhibitor are improved in combination with PPAR agonists in a dyslipidemic rat model. Journal of Hepatology. 73. S656–S656.
8.
9.
Bates, Jamie, David Hollenback, Anna Zagórska, et al.. (2018). Combination of an FXR agonist and an ACC inhibitor increases anti-fibrotic efficacy in rodent models of NASH. Journal of Hepatology. 68. S395–S396.
10.
Goedeke, Leigh, Jamie Bates, Daniel F. Vatner, et al.. (2018). Acetyl‐CoA Carboxylase Inhibition Reverses NAFLD and Hepatic Insulin Resistance but Promotes Hypertriglyceridemia in Rodents. Hepatology. 68(6). 2197–2211. 181 indexed citations
11.
Bates, Jamie, Robert Brockett, I. Mikaelian, et al.. (2017). A liver-targeted acetyl CoA carboxylase inhibitor reduces hepatic steatosis and liver injury in a murine model of NASH. Journal of Hepatology. 66(1). S430–S430. 1 indexed citations
12.
Bates, Jamie, Saritha Kusam, Stacey Tannheimer, et al.. (2016). Combination of the BET Inhibitor GS-5829 and a BCL2 Inhibitor Resulted in Broader Activity in DLBCL and MCL Cell Lines. Blood. 128(22). 5104–5104. 2 indexed citations
13.
14.
Shi, Xiarong, Valia T. Mihaylova, Leena Kuruvilla, et al.. (2016). Loss of TRIM33 causes resistance to BET bromodomain inhibitors through MYC- and TGF-β–dependent mechanisms. Proceedings of the National Academy of Sciences. 113(31). E4558–66. 30 indexed citations
15.
Tannheimer, Stacey, Jia Liu, Rick Sorensen, et al.. (2015). Combination of Idelalisib and ONO/GS-4059 in Lymphoma Cell Lines Sensitive and Resistant to BTK Inhibitors. Blood. 126(23). 3697–3697. 4 indexed citations
16.
Bates, Jamie, Julia Salzman, Damon May, et al.. (2012). Extensive Gene-Specific Translational Reprogramming in a Model of B Cell Differentiation and Abl-Dependent Transformation. PLoS ONE. 7(5). e37108–e37108. 5 indexed citations
17.
Bates, Jamie, et al.. (2012). miR290-5p/292-5p Activate the Immunoglobulin kappa Locus in B Cell Development. PLoS ONE. 7(8). e43805–e43805. 4 indexed citations
18.
Guo, Chunguang, Hye Suk Yoon, Andrew Franklin, et al.. (2011). CTCF-binding elements mediate control of V(D)J recombination. Nature. 477(7365). 424–430. 200 indexed citations
19.
Bates, Jamie, Dragana Cado, Hector Nolla, & Mark S. Schlissel. (2007). Chromosomal position of a VH gene segment determines its activation and inactivation as a substrate for V(D)J recombination. The Journal of Experimental Medicine. 204(13). 3247–3256. 28 indexed citations
20.
Mishkin, S, Jamie Bates, Jun Ohashi, et al.. (1976). Possible mechanisms of normal amylase activity in hyperlipemic pancreatitis.. PubMed. 115(10). 1016–9. 3 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.

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