Jeremy Ryan

7.6k total citations
63 papers, 2.9k citations indexed

About

Jeremy Ryan is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jeremy Ryan has authored 63 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 18 papers in Oncology and 13 papers in Immunology. Recurrent topics in Jeremy Ryan's work include Cell death mechanisms and regulation (19 papers), RNA Interference and Gene Delivery (13 papers) and Acute Myeloid Leukemia Research (8 papers). Jeremy Ryan is often cited by papers focused on Cell death mechanisms and regulation (19 papers), RNA Interference and Gene Delivery (13 papers) and Acute Myeloid Leukemia Research (8 papers). Jeremy Ryan collaborates with scholars based in United States, Australia and Germany. Jeremy Ryan's co-authors include Anthony Letai, Joan Montero, Joslyn K. Brunelle, Daniel J. DeAngelo, Richard M. Stone, Kristopher A. Sarosiek, Derrick J. Rossi, P E Barker, Mark G. Frattini and Thanh‐Trang Vo and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jeremy Ryan

59 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeremy Ryan United States 29 1.8k 772 446 411 358 63 2.9k
Marcos R. Estecio United States 34 3.0k 1.6× 809 1.0× 772 1.7× 464 1.1× 596 1.7× 76 4.0k
Samia Mourah France 33 1.5k 0.8× 1.3k 1.6× 162 0.4× 582 1.4× 431 1.2× 162 3.1k
Ignacio Varela Spain 23 2.4k 1.3× 386 0.5× 599 1.3× 235 0.6× 569 1.6× 54 3.3k
Seth J. Corey United States 35 1.4k 0.8× 850 1.1× 996 2.2× 1.1k 2.6× 299 0.8× 114 3.5k
Nan Zhu China 29 3.1k 1.7× 434 0.6× 815 1.8× 348 0.8× 1.0k 2.9× 106 4.4k
Daniel Nowak Germany 22 1.7k 0.9× 469 0.6× 854 1.9× 788 1.9× 253 0.7× 102 3.5k
Craig Dorrell United States 26 2.3k 1.3× 959 1.2× 389 0.9× 351 0.9× 340 0.9× 43 5.4k
Igor Dolgalev United States 25 1.7k 0.9× 1.1k 1.4× 152 0.3× 637 1.5× 420 1.2× 55 3.2k
Pilar Navarro Spain 33 2.6k 1.4× 979 1.3× 193 0.4× 914 2.2× 593 1.7× 80 4.1k
Benjamin G. Barwick United States 29 1.8k 1.0× 826 1.1× 513 1.2× 886 2.2× 409 1.1× 72 3.0k

Countries citing papers authored by Jeremy Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Ryan

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Ryan. A scholar is included among the top collaborators of Jeremy Ryan 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 Jeremy Ryan. Jeremy Ryan 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.
Zhuang, Zhe, Woong Sub Byun, Zuzanna Kozicka, et al.. (2025). Development of FBXO22 Degraders and the Recruitment Ligand 2-Pyridinecarboxyaldehyde (2-PCA). Journal of the American Chemical Society. 147(49). 45132–45144.
2.
Baek, Kheewoong, Shourya S. Roy Burman, Jonathan W. Bushman, et al.. (2025). Unveiling the hidden interactome of CRBN molecular glues. Nature Communications. 16(1). 6831–6831. 11 indexed citations
3.
Pourzia, Alexandra L., Michael Olson, Stefanie R. Bailey, et al.. (2023). Quantifying requirements for mitochondrial apoptosis in CAR T killing of cancer cells. Cell Death and Disease. 14(4). 267–267. 9 indexed citations
4.
Winter, Jacob M., Corey N. Cunningham, Heather R. Keys, et al.. (2022). Collateral deletion of the mitochondrial AAA+ ATPase ATAD1 sensitizes cancer cells to proteasome dysfunction. eLife. 11. 10 indexed citations
5.
Pan, Rongqing, Jeremy Ryan, Deng Pan, Kai W. Wucherpfennig, & Anthony Letai. (2022). Augmenting NK cell-based immunotherapy by targeting mitochondrial apoptosis. Cell. 185(9). 1521–1538.e18. 133 indexed citations
6.
Ripley, R. Taylor, Deborah R. Surman, Laurence P. Diggs, et al.. (2018). Metabolomic and BH3 profiling of esophageal cancers: novel assessment methods for precision therapy. BMC Gastroenterology. 18(1). 94–94. 6 indexed citations
7.
Fraser, Cameron, Jeremy Ryan, & Kristopher A. Sarosiek. (2018). BH3 Profiling: A Functional Assay to Measure Apoptotic Priming and Dependencies. Methods in molecular biology. 1877. 61–76. 41 indexed citations
8.
Lagares, David, Paula Grasberger, Fei Liu, et al.. (2017). Targeted apoptosis of myofibroblasts with the BH3 mimetic ABT-263 reverses established fibrosis. Science Translational Medicine. 9(420). 161 indexed citations
9.
Zhāng, Qí, Lina Han, Ce Shi, et al.. (2016). Upregulation of MAPK/MCL-1 Maintaining Mitochondrial Oxidative Phosphorylation Confers Acquired Resistance to BCL-2 Inhibitor Venetoclax in AML. Blood. 128(22). 101–101. 5 indexed citations
10.
Montero, Joan, Kristopher A. Sarosiek, Joseph D. DeAngelo, et al.. (2015). Drug-Induced Death Signaling Strategy Rapidly Predicts Cancer Response to Chemotherapy. Cell. 160(5). 977–989. 252 indexed citations
11.
Chonghaile, Tríona Ní, Justine E. Roderick, Jeremy Ryan, et al.. (2014). Maturation Stage of T-cell Acute Lymphoblastic Leukemia Determines BCL-2 versus BCL-XL Dependence and Sensitivity to ABT-199. Cancer Discovery. 4(9). 1074–1087. 190 indexed citations
12.
Dutta, Sanjib, et al.. (2014). Potent and Specific Peptide Inhibitors of Human Pro-Survival Protein Bcl-xL. Journal of Molecular Biology. 427(6). 1241–1253. 31 indexed citations
13.
Liu, Julia, Jeremy Ryan, Charles Mock, et al.. (2013). High Mitochondrial Priming Sensitizes hESCs to DNA-Damage-Induced Apoptosis. Cell stem cell. 13(4). 483–491. 124 indexed citations
14.
Dutta, Chaitali, Tovah A. Day, Nadja Kopp, et al.. (2012). BCL2 Suppresses PARP1 Function and Nonapoptotic Cell Death. Cancer Research. 72(16). 4193–4203. 45 indexed citations
15.
Takada, Kohichi, Di Zhu, Gregory H. Bird, et al.. (2012). Targeted Disruption of the BCL9/β-Catenin Complex Inhibits Oncogenic Wnt Signaling. Science Translational Medicine. 4(148). 148ra117–148ra117. 214 indexed citations
16.
Vo, Thanh‐Trang, Jeremy Ryan, Ruben D. Carrasco, et al.. (2012). Relative Mitochondrial Priming of Myeloblasts and Normal HSCs Determines Chemotherapeutic Success in AML. Cell. 151(2). 344–355. 266 indexed citations
17.
Ryan, Jeremy, Joslyn K. Brunelle, & Anthony Letai. (2010). Heightened mitochondrial priming is the basis for apoptotic hypersensitivity of CD4 + CD8 + thymocytes. Proceedings of the National Academy of Sciences. 107(29). 12895–12900. 109 indexed citations
19.
Ryan, Jeremy, et al.. (2006). Diagnosis of upper gastrointestinal malignancy.. PubMed. 35(4). 200–1. 7 indexed citations
20.
Ryan, Jeremy, Krishnankutty Sudhir, Garry Jennings, Murray Esler, & F. J. Dudley. (1993). Impaired reactivity of the peripheral vasculature to pressor agents in alcoholic cirrhosis. Gastroenterology. 105(4). 1167–1172. 60 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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