Timothy J. O’Donnell

3.7k total citations
42 papers, 1.6k citations indexed

About

Timothy J. O’Donnell is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Timothy J. O’Donnell has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 11 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Timothy J. O’Donnell's work include Immunotherapy and Immune Responses (8 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Natural Language Processing Techniques (7 papers). Timothy J. O’Donnell is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Natural Language Processing Techniques (7 papers). Timothy J. O’Donnell collaborates with scholars based in United States, Germany and Canada. Timothy J. O’Donnell's co-authors include Alex Rubinsteyn, Uri Laserson, Jeff Hammerbacher, Maria Bonsack, Angelika B. Riemer, Pierre Lebreton, William F. White, H.C. Kinney, Chung‐Shan Yu and James Glass 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

Timothy J. O’Donnell

38 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy J. O’Donnell United States 19 823 575 362 311 128 42 1.6k
Arnon Lavie United States 36 2.2k 2.7× 151 0.3× 151 0.4× 400 1.3× 292 2.3× 126 3.8k
Joshua M. Korn United States 17 1.8k 2.2× 604 1.1× 99 0.3× 253 0.8× 178 1.4× 27 3.7k
Marc A. van Driel Netherlands 20 2.2k 2.6× 168 0.3× 125 0.3× 229 0.7× 48 0.4× 37 2.8k
Nir Friedman Israel 25 811 1.0× 1.2k 2.1× 180 0.5× 364 1.2× 119 0.9× 47 2.2k
Miranda Robertson United States 16 704 0.9× 175 0.3× 82 0.2× 89 0.3× 38 0.3× 66 1.3k
Dale L. Bodian United States 24 1.5k 1.8× 700 1.2× 227 0.6× 375 1.2× 284 2.2× 44 3.1k
Shaohui Hu United States 17 1.5k 1.9× 182 0.3× 299 0.8× 282 0.9× 183 1.4× 38 2.1k
Uri Hershberg United States 24 1.1k 1.3× 1.2k 2.0× 383 1.1× 138 0.4× 178 1.4× 50 2.5k
Maximilian T. Strauss Germany 33 2.6k 3.2× 156 0.3× 173 0.5× 104 0.3× 142 1.1× 49 4.0k
Anand Kolatkar United States 27 886 1.1× 284 0.5× 110 0.3× 838 2.7× 61 0.5× 57 2.2k

Countries citing papers authored by Timothy J. O’Donnell

Since Specialization
Citations

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

Fields of papers citing papers by Timothy J. O’Donnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. O’Donnell. 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 Timothy J. O’Donnell. The network helps show where Timothy J. O’Donnell may publish in the future.

Co-authorship network of co-authors of Timothy J. O’Donnell

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy J. O’Donnell. A scholar is included among the top collaborators of Timothy J. O’Donnell 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 Timothy J. O’Donnell. Timothy J. O’Donnell 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.
McGregor, Reuben, Timothy J. O’Donnell, Elliot Merritt, et al.. (2025). PhIP-Seq uncovers marked heterogeneity in acute rheumatic fever autoantibodies. JCI Insight. 11(1).
2.
Portelance, Eva, Siva Reddy, & Timothy J. O’Donnell. (2025). Reframing linguistic bootstrapping as joint inference using visually-grounded grammar induction models. Journal of Memory and Language. 145. 104672–104672.
3.
Saxena, Mansi, Jonathan F. Anker, Julia Kodysh, et al.. (2025). Atezolizumab plus personalized neoantigen vaccination in urothelial cancer: a phase 1 trial. Nature Cancer. 6(6). 988–999. 2 indexed citations
4.
Goodwin, Emily J., Siva Reddy, Timothy J. O’Donnell, & Dzmitry Bahdanau. (2022). Compositional Generalization in Dependency Parsing. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6482–6493. 3 indexed citations
5.
Machart, Pierre, et al.. (2022). On TCR binding predictors failing to generalize to unseen peptides. Frontiers in Immunology. 13. 1014256–1014256. 38 indexed citations
6.
O’Donnell, Timothy J. & Nicolas Vabret. (2021). Repeat elements amplify TLR signaling. Nature reviews. Immunology. 21(12). 760–760. 6 indexed citations
7.
Lopez‐Bujanda, Zoila A., Aleksandar Obradović, Thomas R. Nirschl, et al.. (2021). TGM4: an immunogenic prostate-restricted antigen. Journal for ImmunoTherapy of Cancer. 9(6). e001649–e001649. 16 indexed citations
8.
Boegel, Sebastian, John C. Castle, Julia Kodysh, Timothy J. O’Donnell, & Alex Rubinsteyn. (2019). Bioinformatic methods for cancer neoantigen prediction. Progress in molecular biology and translational science. 164. 25–60. 29 indexed citations
9.
O’Donnell, Timothy J., Alex Rubinsteyn, Maria Bonsack, et al.. (2018). MHCflurry: Open-Source Class I MHC Binding Affinity Prediction. Cell Systems. 7(1). 129–132.e4. 273 indexed citations
10.
O’Donnell, Timothy J., Elizabeth L. Christie, Arun Ahuja, et al.. (2018). Chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer. BMC Cancer. 18(1). 87–87. 29 indexed citations
11.
Lee, Man‐Ling, Ignacio Aliagas, Jianwen A. Feng, et al.. (2017). chemalot and chemalot_knime: Command line programs as workflow tools for drug discovery. Journal of Cheminformatics. 9(1). 38–38. 12 indexed citations
12.
Luong, Thang, Timothy J. O’Donnell, & Noah D. Goodman. (2015). Evaluating Models of Computation and Storage in Human Sentence Processing. 14–21. 2 indexed citations
13.
Linzen, Tal & Timothy J. O’Donnell. (2015). A model of rapid phonotactic generalization. 1126–1131. 4 indexed citations
14.
Goodin, Douglas S., George C. Ebers, Gary Cutter, et al.. (2012). Cause of death in MS: long-term follow-up of a randomised cohort, 21 years after the start of the pivotal IFNβ-1b study. BMJ Open. 2(6). e001972–e001972. 38 indexed citations
15.
Schmidt, Aaron G., Huafeng Xu, Amir R. Khan, et al.. (2012). Preconfiguration of the antigen-binding site during affinity maturation of a broadly neutralizing influenza virus antibody. Proceedings of the National Academy of Sciences. 110(1). 264–269. 196 indexed citations
16.
O’Donnell, Timothy J., Jesse Snedeker, Joshua B. Tenenbaum, & Noah D. Goodman. (2011). Productivity and Reuse in Language: a Developmental Study.. Cognitive Science. 33(33). 2 indexed citations
17.
O’Donnell, Timothy J.. (2009). Sketch book : conceptual drawings from the world's most influential designers. 2 indexed citations
18.
O’Donnell, Timothy J., Noah D. Goodman, & Joshua B. Tenenbaum. (2009). Fragment Grammars: Exploring Computation and Reuse in Language. DSpace@MIT (Massachusetts Institute of Technology). 20 indexed citations
19.
O’Donnell, Timothy J., et al.. (1992). Pulmonary complications of acute myelogenous leukemia.. PubMed. 89(3). 204–7. 1 indexed citations
20.
Yu, Chung‐Shan, Timothy J. O’Donnell, & Pierre Lebreton. (1981). Ultraviolet photoelectron studies of volatile nucleoside models. Vertical ionization potential measurements of methylated uridine, thymidine, cytidine, and adenosine. The Journal of Physical Chemistry. 85(25). 3851–3855. 57 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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