Aaron B. Cohen

1.1k total citations
52 papers, 645 citations indexed

About

Aaron B. Cohen is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Aaron B. Cohen has authored 52 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 14 papers in Pulmonary and Respiratory Medicine and 12 papers in Surgery. Recurrent topics in Aaron B. Cohen's work include Machine Learning in Healthcare (7 papers), Bladder and Urothelial Cancer Treatments (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Aaron B. Cohen is often cited by papers focused on Machine Learning in Healthcare (7 papers), Bladder and Urothelial Cancer Treatments (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Aaron B. Cohen collaborates with scholars based in United States, Switzerland and Italy. Aaron B. Cohen's co-authors include James D. Lewis, Robert S. Sandler, Dale Lee, Millie D. Long, Christopher F. Martin, Michael D. Kappelman, Blythe Adamson, Melissa Estévez, Robert N. Baldassano and Ravi B. Parikh and has published in prestigious journals such as JAMA, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Aaron B. Cohen

42 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron B. Cohen United States 14 213 188 168 154 121 52 645
Nicole Engel-Nitz United States 13 264 1.2× 119 0.6× 208 1.2× 147 1.0× 103 0.9× 40 767
Hayley Bennett United Kingdom 16 100 0.5× 52 0.3× 144 0.9× 93 0.6× 152 1.3× 52 680
Diana S.M. Buist United States 10 97 0.5× 178 0.9× 79 0.5× 420 2.7× 89 0.7× 15 708
Zoé Uhry France 18 74 0.3× 145 0.8× 145 0.9× 443 2.9× 87 0.7× 45 733
Tom Dent United Kingdom 10 324 1.5× 42 0.2× 143 0.9× 193 1.3× 53 0.4× 18 890
Shadi Kolahdoozan Iran 14 121 0.6× 366 1.9× 243 1.4× 573 3.7× 276 2.3× 37 1.0k
Jean‐David Zeitoun France 15 120 0.6× 257 1.4× 65 0.4× 110 0.7× 63 0.5× 62 648
Mathewos Assefa Ethiopia 15 38 0.2× 129 0.7× 223 1.3× 415 2.7× 68 0.6× 58 672
Adriano V. Laudico Philippines 13 75 0.4× 57 0.3× 132 0.8× 397 2.6× 68 0.6× 27 559
U Osime Nigeria 8 83 0.4× 61 0.3× 224 1.3× 393 2.6× 49 0.4× 36 589

Countries citing papers authored by Aaron B. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Aaron B. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron B. Cohen. 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 Aaron B. Cohen. The network helps show where Aaron B. Cohen may publish in the future.

Co-authorship network of co-authors of Aaron B. Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron B. Cohen. A scholar is included among the top collaborators of Aaron B. Cohen 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 Aaron B. Cohen. Aaron B. Cohen 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
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Cohen, Aaron B., et al.. (2024). MSR64 Using Large Language Models To Extract PD-L1 Testing Details From Electronic Health Records. Value in Health. 27(6). S271–S271.
4.
Yuan, Qinghua, Emily Castellanos, Aaron B. Cohen, et al.. (2024). P4.07F.01 Real World Characteristics and Distant Metastasis Free Survival of Patients with Early NSCLC Treated with Chemoimmunotherapy. Journal of Thoracic Oncology. 19(10). S383–S383. 1 indexed citations
5.
Krismer, Konstantin, et al.. (2024). Real-world ctDNA testing patterns, associated biomarkers and sites of metastasis in early stage colorectal cancer.. Journal of Clinical Oncology. 42(16_suppl). 3610–3610. 1 indexed citations
6.
Zhang, Qiushi, Konstantin Krismer, Xiaofeng Wang, et al.. (2024). MSR79 Evaluation of Real-World Response Rate in Clinical Trial-Aligned Cohorts of Patients With Lung, Colon, and Breast Cancer Using Machine Learning. Value in Health. 27(6). S274–S274.
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Benedum, Corey M., et al.. (2023). Replication of Real-World Evidence in Oncology Using Electronic Health Record Data Extracted by Machine Learning. Cancers. 15(6). 1853–1853. 17 indexed citations
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Mamtani, Ronac, et al.. (2023). Evaluating generalizability of practice-changing randomized clinical trials in non-small cell lung cancer using machine learning-based in-silico trials.. Journal of Clinical Oncology. 41(16_suppl). 9130–9130. 1 indexed citations
10.
Schulze, K., Sarika Ogale, Ana Johnson, et al.. (2023). EP07.04-26 Real-World Biomarker Testing and Treatment Patterns Identified Using Machine Learning in Early Non-small Cell Lung Cancer. Journal of Thoracic Oncology. 18(11). S555–S556. 2 indexed citations
11.
Adamson, Blythe, Jonathan Kelly, Konstantin Krismer, et al.. (2023). Approach to machine learning for extraction of real-world data variables from electronic health records. Frontiers in Pharmacology. 14. 1180962–1180962. 43 indexed citations
12.
Cohen, Aaron B., et al.. (2023). A Natural Language Processing Algorithm to Improve Completeness of ECOG Performance Status in Real-World Data. Applied Sciences. 13(10). 6209–6209. 11 indexed citations
13.
Estévez, Melissa, et al.. (2021). AI1 Quantifying Bias in ML-Extracted Variables for Inference in Clinical Oncology. Value in Health. 24. S1–S1. 1 indexed citations
14.
Cohen, Aaron B., et al.. (2019). PPM8 A MACHINE LEARNING MODEL FOR CANCER BIOMARKER IDENTIFICATION IN ELECTRONIC HEALTH RECORDS. Value in Health. 22. S334–S334. 3 indexed citations
15.
Cohen, Aaron B., et al.. (2019). PCN166 OPTIMIZATION OF NATURAL LANGUAGE PROCESSING-SUPPORTED COMORBIDITY CLASSIFICATION ALGORITHMS IN ELECTRONIC HEALTH RECORDS. Value in Health. 22. S87–S87. 1 indexed citations
16.
Yarchoan, Mark, Changqing Ma, Andrea B. Troxel, et al.. (2016). pAKT Expression and Response to Sorafenib in Differentiated Thyroid Cancer. Hormones and Cancer. 7(3). 188–195. 11 indexed citations
17.
Leonard, Mary B., Justine Shults, Babette S. Zemel, et al.. (2012). Changes in Vitamin D and Parathyroid Hormone Metabolism in Incident Pediatric Crohnʼs Disease. Inflammatory Bowel Diseases. 19(1). 45–53. 26 indexed citations
18.
Cohen, Aaron B., Dale Lee, Millie D. Long, et al.. (2012). Dietary Patterns and Self-Reported Associations of Diet with Symptoms of Inflammatory Bowel Disease. Digestive Diseases and Sciences. 58(5). 1322–1328. 192 indexed citations
19.
Cohen, Aaron B., et al.. (2012). The Bumper Stitch for Drainage Tube Securement: Preliminary Study. Journal of Vascular and Interventional Radiology. 23(1). 146–149. 2 indexed citations
20.
Cohen, Aaron B., Mandeep Dagli, S. William Stavropoulos, et al.. (2011). Silicone and Polyurethane Tunneled Infusion Catheters: A Comparison of Durability and Breakage Rates. Journal of Vascular and Interventional Radiology. 22(5). 638–641. 27 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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