Travis Osterman

2.4k total citations
33 papers, 504 citations indexed

About

Travis Osterman is a scholar working on Oncology, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Travis Osterman has authored 33 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 10 papers in Public Health, Environmental and Occupational Health and 7 papers in Economics and Econometrics. Recurrent topics in Travis Osterman's work include Economic and Financial Impacts of Cancer (7 papers), Cancer Genomics and Diagnostics (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Travis Osterman is often cited by papers focused on Economic and Financial Impacts of Cancer (7 papers), Cancer Genomics and Diagnostics (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Travis Osterman collaborates with scholars based in United States, Canada and Netherlands. Travis Osterman's co-authors include Robert S. Miller, Nancy J. Cox, Dan M. Roden, Wei‐Qi Wei, Lisa A. Bastarache, Eric R. Gamazon, Joy E. Marlo, Robert J. Carroll, Joshua C. Denny and Christine Micheel and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Travis Osterman

28 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Travis Osterman United States 11 127 119 106 106 70 33 504
Tina Seto United States 12 170 1.3× 77 0.6× 71 0.7× 32 0.3× 96 1.4× 26 435
Jacqueline Corrigan‐Curay United States 9 119 0.9× 135 1.1× 60 0.6× 76 0.7× 32 0.5× 13 616
Hayan Jouni United States 16 59 0.5× 194 1.6× 62 0.6× 259 2.4× 50 0.7× 48 953
Judita Kinkorová Czechia 11 58 0.5× 78 0.7× 146 1.4× 42 0.4× 44 0.6× 22 474
Dina N. Paltoo United States 11 66 0.5× 118 1.0× 70 0.7× 108 1.0× 21 0.3× 16 569
Fariborz Mokarian Iran 13 175 1.4× 121 1.0× 38 0.4× 38 0.4× 78 1.1× 44 522
Evert-Ben van Veen Netherlands 12 59 0.5× 80 0.7× 177 1.7× 27 0.3× 81 1.2× 26 479
Vivek A. Rudrapatna United States 11 48 0.4× 151 1.3× 44 0.4× 61 0.6× 43 0.6× 33 449
Vikrant Deshmukh United States 15 222 1.7× 87 0.7× 49 0.5× 22 0.2× 43 0.6× 58 594
Markus Follmann Germany 14 284 2.2× 56 0.5× 149 1.4× 38 0.4× 37 0.5× 62 700

Countries citing papers authored by Travis Osterman

Since Specialization
Citations

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

Fields of papers citing papers by Travis Osterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Travis Osterman

This figure shows the co-authorship network connecting the top 25 collaborators of Travis Osterman. A scholar is included among the top collaborators of Travis Osterman 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 Travis Osterman. Travis Osterman 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.
Smith, David S., Michele L. Lenoue-Newton, Kathleen F. Mittendorf, et al.. (2025). Radiomics and Deep Learning Prediction of Immunotherapy-Induced Pneumonitis From Computed Tomography. JCO Clinical Cancer Informatics. 9(9). e2400198–e2400198. 2 indexed citations
2.
Zhang, Kai, et al.. (2025). Introducing mCODEGPT as a zero-shot information extraction from clinical free text data tool for cancer research. Communications Medicine. 5(1). 422–422. 1 indexed citations
3.
Li, Yajing, Cosmin A. Bejan, Caitlyn Vlasschaert, et al.. (2025). Clonal Hematopoiesis of Indeterminate Potential After Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 124(4). 1042–1050.
4.
Osterman, Travis, et al.. (2025). SmokeBERT and Beyond: Bridging Clinical Narratives and Structured Smoking Data to Improve Lung Cancer Screening. JCO Clinical Cancer Informatics. 9(9). e2500350–e2500350.
5.
6.
Fu, Paul, Andrew J. Wagner, Travis Osterman, et al.. (2023). Clinician Perspectives Regarding the Impact of Information Technology on Multidisciplinary Tumor Boards: A National Comprehensive Cancer Network Survey. JCO Clinical Cancer Informatics. 7(7). e2300056–e2300056.
7.
Ye, Cheng, Kathleen F. Mittendorf, Michele L. Lenoue-Newton, et al.. (2023). Accelerated curation of checkpoint inhibitor-induced colitis cases from electronic health records. JAMIA Open. 6(1). ooad017–ooad017. 3 indexed citations
8.
Osterman, Travis, et al.. (2023). BIO23-019: Precision Oncology: Integrating Structured Genomic Data Into the Electronic Health Record via the EPIC® Genomics Module. Journal of the National Comprehensive Cancer Network. 21(3.5). BIO23–19. 1 indexed citations
9.
Lander, Eric, Xuanyi Li, Li‐Ching Huang, et al.. (2023). Identification and Characterization of Avoidable Hospital Admissions in Patients With Lung Cancer. Journal of the National Comprehensive Cancer Network. 21(10). 1050–1057.e13. 3 indexed citations
10.
Huang, Li‐Ching, Jennifer G. Whisenant, Sally J. York, et al.. (2022). Associations of influenza vaccination with severity of immune-related adverse events in patients with advanced thoracic cancers on immune checkpoint inhibitors. ERJ Open Research. 8(4). 684–2021. 1 indexed citations
11.
Cann, Christopher, et al.. (2022). Two Uncomplicated Pregnancies on Alectinib in a Woman With Metastatic ALK-Rearranged NSCLC: A Case Report. JTO Clinical and Research Reports. 3(8). 100361–100361. 6 indexed citations
12.
Tevaarwerk, Amyé, et al.. (2022). The Future of Telemedicine in Oncology. Journal of the National Comprehensive Cancer Network. 20(5.5). 1–5. 4 indexed citations
13.
Holt, Marilyn, Kathleen F. Mittendorf, Michele L. Lenoue-Newton, et al.. (2021). My Cancer Genome: Coevolution of Precision Oncology and a Molecular Oncology Knowledgebase. JCO Clinical Cancer Informatics. 5(5). 995–1004. 19 indexed citations
14.
Tevaarwerk, Amyé, Thevaa Chandereng, Travis Osterman, et al.. (2021). Oncologist Perspectives on Telemedicine for Patients With Cancer: A National Comprehensive Cancer Network Survey. JCO Oncology Practice. 17(9). e1318–e1326. 35 indexed citations
15.
Sandler, Kim L., et al.. (2021). Women screened for breast cancer are dying from lung cancer: An opportunity to improve lung cancer screening in a mammography population. Journal of Medical Screening. 28(4). 488–493. 12 indexed citations
16.
Micheel, Christine, et al.. (2021). Learnings From Precision Clinical Trial Matching for Oncology Patients Who Received NGS Testing. JCO Clinical Cancer Informatics. 5(5). 231–238. 10 indexed citations
17.
Zheng, Neil S., Jeremy L. Warner, Travis Osterman, et al.. (2020). A retrospective approach to evaluating potential adverse outcomes associated with delay of procedures for cardiovascular and cancer-related diagnoses in the context of COVID-19. Journal of Biomedical Informatics. 113. 103657–103657. 16 indexed citations
18.
Gao, Riqiang, Yuankai Huo, Shunxing Bao, et al.. (2019). Lung cancer detection using co-learning from chest CT images and clinical demographics. PubMed. 10949. 122–122. 15 indexed citations
19.
Wei, Wei‐Qi, Lisa A. Bastarache, Robert J. Carroll, et al.. (2017). Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record. PLoS ONE. 12(7). e0175508–e0175508. 204 indexed citations
20.
Li, Junyu, et al.. (2004). A software utility for creating interactive maps for 2D gel-based proteomics. Analytical Biochemistry. 332(1). 187–190.

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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