Timothy L. Chen

672 total citations · 1 hit paper
10 papers, 449 citations indexed

About

Timothy L. Chen is a scholar working on Genetics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Timothy L. Chen has authored 10 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Timothy L. Chen's work include Chronic Lymphocytic Leukemia Research (6 papers), Topic Modeling (3 papers) and Ubiquitin and proteasome pathways (2 papers). Timothy L. Chen is often cited by papers focused on Chronic Lymphocytic Leukemia Research (6 papers), Topic Modeling (3 papers) and Ubiquitin and proteasome pathways (2 papers). Timothy L. Chen collaborates with scholars based in United States and Germany. Timothy L. Chen's co-authors include John C. Byrd, Amy J. Johnson, Jennifer A. Woyach, Amy M. Lehman, Alexandru D. Buhimschi, Momar Toure, Craig M. Crews, Saul Jaime‐Figueroa, Amy Lehman and Erin Hertlein and has published in prestigious journals such as Blood, PLoS ONE and Biochemistry.

In The Last Decade

Timothy L. Chen

10 papers receiving 440 citations

Hit Papers

Targeting the C481S Ibrutinib-Resistance Mutation in Brut... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy L. Chen United States 8 333 159 124 109 46 10 449
Adrián Mosquera Orgueira Spain 10 130 0.4× 57 0.4× 109 0.9× 40 0.4× 37 0.8× 32 263
Jennifer Gauvin United States 9 352 1.1× 141 0.9× 126 1.0× 52 0.5× 128 2.8× 11 529
Sreedhar Venkannagari United States 6 341 1.0× 97 0.6× 115 0.9× 68 0.6× 20 0.4× 8 415
Irene Manrique Spain 9 206 0.6× 199 1.3× 151 1.2× 32 0.3× 22 0.5× 15 384
Soraya Wuillème‐Toumi France 5 467 1.4× 151 0.9× 230 1.9× 37 0.3× 75 1.6× 6 553
Deepa Prabhavalkar United States 2 228 0.7× 295 1.9× 32 0.3× 67 0.6× 79 1.7× 2 477
Luke B. Fletcher United States 8 168 0.5× 64 0.4× 121 1.0× 71 0.7× 42 0.9× 16 328
Emma C. Fink United States 6 491 1.5× 172 1.1× 249 2.0× 45 0.4× 37 0.8× 8 614
Barry Paul United States 12 254 0.8× 145 0.9× 165 1.3× 28 0.3× 18 0.4× 43 395

Countries citing papers authored by Timothy L. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Timothy L. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy L. Chen. 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 L. Chen. The network helps show where Timothy L. Chen may publish in the future.

Co-authorship network of co-authors of Timothy L. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy L. Chen. A scholar is included among the top collaborators of Timothy L. Chen 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 L. Chen. Timothy L. Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Chaudhari, Gunvant, Timothy L. Chen, Gabby B. Joseph, et al.. (2022). Application of a Domain-specific BERT for Detection of Speech Recognition Errors in Radiology Reports. Radiology Artificial Intelligence. 4(4). e210185–e210185. 9 indexed citations
2.
Chaudhari, Gunvant, Timothy L. Chen, Valentina Pedoia, et al.. (2022). Clinical language search algorithm from free-text: facilitating appropriate imaging. BMC Medical Imaging. 22(1). 18–18. 3 indexed citations
3.
Laguna, Benjamin, Timothy L. Chen, Gunvant Chaudhari, et al.. (2021). Development and web deployment of an automated neuroradiology MRI protocoling tool with natural language processing. BMC Medical Informatics and Decision Making. 21(1). 213–213. 10 indexed citations
4.
Chen, Timothy L., et al.. (2020). Domain specific word embeddings for natural language processing in radiology. Journal of Biomedical Informatics. 113. 103665–103665. 18 indexed citations
5.
Buhimschi, Alexandru D., Momar Toure, Saul Jaime‐Figueroa, et al.. (2018). Targeting the C481S Ibrutinib-Resistance Mutation in Bruton’s Tyrosine Kinase Using PROTAC-Mediated Degradation. Biochemistry. 57(26). 3564–3575. 298 indexed citations breakdown →
6.
Miller, Cecelia, Amy S. Ruppert, Timothy L. Chen, et al.. (2017). The long noncoding RNA, treRNA, decreases DNA damage and is associated with poor response to chemotherapy in chronic lymphocytic leukemia. Oncotarget. 8(16). 25942–25954. 21 indexed citations
7.
Chen, Timothy L., Nikhil Gupta, Amy Lehman, et al.. (2016). Hsp90 inhibition increases SOCS3 transcript and regulates migration and cell death in chronic lymphocytic leukemia. Oncotarget. 7(19). 28684–28696. 11 indexed citations
8.
Gupta, Sneha, Erin Hertlein, Yanhui Lu, et al.. (2013). The Proteasome Inhibitor Carfilzomib Functions Independently of p53 to Induce Cytotoxicity and an Atypical NF-κB Response in Chronic Lymphocytic Leukemia Cells. Clinical Cancer Research. 19(9). 2406–2419. 31 indexed citations
9.
Hertlein, Erin, Kyle A. Beckwith, Gerard Lozanski, et al.. (2013). Characterization of a New Chronic Lymphocytic Leukemia Cell Line for Mechanistic In Vitro and In Vivo Studies Relevant to Disease. PLoS ONE. 8(10). e76607–e76607. 46 indexed citations
10.

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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