Jessica D. Tenenbaum

3.4k total citations
52 papers, 1.0k citations indexed

About

Jessica D. Tenenbaum is a scholar working on Molecular Biology, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jessica D. Tenenbaum has authored 52 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in General Health Professions and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jessica D. Tenenbaum's work include Biomedical Text Mining and Ontologies (10 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Jessica D. Tenenbaum is often cited by papers focused on Biomedical Text Mining and Ontologies (10 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Jessica D. Tenenbaum collaborates with scholars based in United States, Germany and United Kingdom. Jessica D. Tenenbaum's co-authors include Paul J. Utz, Imelda Balboni, Julian C. Hong, Manisha Palta, Guilherme Del Fiol, Anita Walden, Maryam Y. Garza, Meredith Zozus, Atul J. Butte and Peter D. Karp and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jessica D. Tenenbaum

51 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jessica D. Tenenbaum United States 18 427 189 159 144 129 52 1.0k
Christel Daniel France 18 427 1.0× 289 1.5× 79 0.5× 207 1.4× 340 2.6× 69 1.3k
Alison Callahan United States 22 361 0.8× 448 2.4× 113 0.7× 88 0.6× 138 1.1× 51 1.4k
Sylvia Thun Germany 13 176 0.4× 191 1.0× 104 0.7× 164 1.1× 208 1.6× 59 882
Travis B. Murdoch Canada 10 312 0.7× 300 1.6× 111 0.7× 148 1.0× 277 2.1× 11 1.5k
Bastien Rance France 18 316 0.7× 214 1.1× 57 0.4× 74 0.5× 134 1.0× 64 903
Páll Jónsson United Kingdom 15 436 1.0× 167 0.9× 102 0.6× 112 0.8× 82 0.6× 41 1.4k
Lefteris Koumakis Greece 21 179 0.4× 229 1.2× 96 0.6× 147 1.0× 134 1.0× 75 1.0k
Mary Regina Boland United States 22 378 0.9× 346 1.8× 39 0.2× 190 1.3× 123 1.0× 72 1.3k
Brigitte Séroussi France 16 295 0.7× 359 1.9× 95 0.6× 259 1.8× 292 2.3× 105 1.0k
Guoqian Jiang United States 21 714 1.7× 599 3.2× 108 0.7× 95 0.7× 359 2.8× 134 1.6k

Countries citing papers authored by Jessica D. Tenenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Jessica D. Tenenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jessica D. Tenenbaum. 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 Jessica D. Tenenbaum. The network helps show where Jessica D. Tenenbaum may publish in the future.

Co-authorship network of co-authors of Jessica D. Tenenbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica D. Tenenbaum. A scholar is included among the top collaborators of Jessica D. Tenenbaum 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 Jessica D. Tenenbaum. Jessica D. Tenenbaum 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.
Wheeler, Bradford, et al.. (2025). A Novel Application of Statewide Emergency Department Data to Classify Behavioral Health Holds. Journal of Public Health Management and Practice. 31(6). E406–E416.
2.
Eisenstein, Eric L., Samantha M. Thomas, Neville Eclov, et al.. (2024). Health Care Cost Reductions with Machine Learning–Directed Evaluations during Radiation Therapy — An Economic Analysis of a Randomized Controlled Study. NEJM AI. 1(4). 5 indexed citations
3.
Tenenbaum, Jessica D.. (2024). Accelerating a learning public health system: Opportunities, obstacles, and a call to action. Learning Health Systems. 8(4). e10449–e10449. 1 indexed citations
4.
Preiss, Alexander, Emily Hadley, Marie C. D. Stoner, et al.. (2022). Incorporation of near-real-time hospital occupancy data to improve hospitalization forecast accuracy during the COVID-19 pandemic. Infectious Disease Modelling. 7(1). 277–285. 6 indexed citations
5.
Huston, Sara, Peter Claes, Megan Doerr, et al.. (2021). U.S. Adult Perspectives on Facial Images, DNA, and Other Biometrics. PubMed. 3(1). 9–15. 4 indexed citations
6.
Chen, William, Lauren Boreta, Steve Braunstein, et al.. (2021). Association of mental health diagnosis with race and all‐cause mortality after a cancer diagnosis: Large‐scale analysis of electronic health record data. Cancer. 128(2). 344–352. 13 indexed citations
7.
Tenenbaum, Jessica D., et al.. (2021). Mental Health Informatics. 3 indexed citations
8.
Kling, Mitchel A., Dayan B. Goodenowe, Vijitha Senanayake, et al.. (2020). Circulating ethanolamine plasmalogen indices in Alzheimer's disease: Relation to diagnosis, cognition, and CSF tau. Alzheimer s & Dementia. 16(9). 1234–1247. 19 indexed citations
9.
Hong, Julian C., et al.. (2020). Natural language processing for abstraction of cancer treatment toxicities: accuracy versus human experts. JAMIA Open. 3(4). 513–517. 29 indexed citations
10.
Madhavan, Subha, Lisa Bastarache, Jeffrey S. Brown, et al.. (2020). Use of Electronic Health Records to Support a Public Health Response to the COVID-19 Pandemic in the United States: A Perspective from Fifteen Academic Medical Centers. Publisher. 1 indexed citations
11.
Tanksley, Jarred, et al.. (2020). Interrater Reliability in Toxicity Identification: Limitations of Current Standards. International Journal of Radiation Oncology*Biology*Physics. 107(5). 996–1000. 18 indexed citations
12.
John‐Williams, Lisa St., Siamak MahmoudianDehkordi, Matthias Arnold, et al.. (2019). Bile acids targeted metabolomics and medication classification data in the ADNI1 and ADNIGO/2 cohorts. Scientific Data. 6(1). 212–212. 16 indexed citations
13.
Liu, Qi, et al.. (2019). Symptom-based patient stratification in mental illness using clinical notes. Journal of Biomedical Informatics. 98. 103274–103274. 16 indexed citations
14.
Hong, Julian C., Donna Niedzwiecki, Manisha Palta, & Jessica D. Tenenbaum. (2018). Predicting Emergency Visits and Hospital Admissions During Radiation and Chemoradiation: An Internally Validated Pretreatment Machine Learning Algorithm. JCO Clinical Cancer Informatics. 2(2). 1–11. 37 indexed citations
15.
Tenenbaum, Jessica D., Krithika Bhuvaneshwar, Jane P. Gagliardi, et al.. (2017). Translational bioinformatics in mental health: open access data sources and computational biomarker discovery. Briefings in Bioinformatics. 20(3). 842–856. 11 indexed citations
16.
Tenenbaum, Jessica D.. (2016). Translational Bioinformatics: Past, Present, and Future. Genomics Proteomics & Bioinformatics. 14(1). 31–41. 40 indexed citations
17.
Garza, Maryam Y., Guilherme Del Fiol, Jessica D. Tenenbaum, Anita Walden, & Meredith Zozus. (2016). Evaluating common data models for use with a longitudinal community registry. Journal of Biomedical Informatics. 64. 333–341. 110 indexed citations
18.
Tenenbaum, Jessica D., Susanna‐Assunta Sansone, & Melissa Haendel. (2013). A sea of standards for omics data: sink or swim?. Journal of the American Medical Informatics Association. 21(2). 200–203. 38 indexed citations
19.
Balboni, Imelda, et al.. (2008). Evaluation of microarray surfaces and arraying parameters for autoantibody profiling. PROTEOMICS. 8(17). 3443–3449. 43 indexed citations
20.
Marks, Frances, et al.. (1992). Peripheral pulmonary artery stenosis in pregnancy. A report of two cases.. PubMed. 37(4). 381–2. 1 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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