Sara Kochanny

2.5k total citations
37 papers, 1.0k citations indexed

About

Sara Kochanny is a scholar working on Oncology, Otorhinolaryngology and Artificial Intelligence. According to data from OpenAlex, Sara Kochanny has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 14 papers in Otorhinolaryngology and 13 papers in Artificial Intelligence. Recurrent topics in Sara Kochanny's work include Head and Neck Cancer Studies (14 papers), AI in cancer detection (13 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Sara Kochanny is often cited by papers focused on Head and Neck Cancer Studies (14 papers), AI in cancer detection (13 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Sara Kochanny collaborates with scholars based in United States, United Kingdom and Germany. Sara Kochanny's co-authors include Alexander T. Pearson, Frederick M. Howard, Tanguy Y. Seiwert, Everett E. Vokes, James M. Dolezal, Ryan J. Brisson, Michael T. Spiotto, Matthew Koshy, Corey C. Foster and Jefree J. Schulte and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Cancer.

In The Last Decade

Sara Kochanny

33 papers receiving 1.0k citations

Peers

Sara Kochanny
Hesham Elhalawani United States
Xiaoning Luo China
Xiaokai Mo China
Evangelia Katsoulakis United States
Andrey Bychkov Japan
Li Lin China
Kazunori Kubota Japan
William T. Tran Canada
Mark W. El‐Deiry United States
Shufang Pei China
Hesham Elhalawani United States
Sara Kochanny
Citations per year, relative to Sara Kochanny Sara Kochanny (= 1×) peers Hesham Elhalawani

Countries citing papers authored by Sara Kochanny

Since Specialization
Citations

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

Fields of papers citing papers by Sara Kochanny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Kochanny

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Kochanny. A scholar is included among the top collaborators of Sara Kochanny 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 Sara Kochanny. Sara Kochanny 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.
Dolezal, James M., Frederick M. Howard, Sara Kochanny, et al.. (2025). Building digital histology models of transcriptional tumor programs with generative deep learning for pathology-based precision medicine. Genome Medicine. 17(1). 87–87.
2.
Howard, Frederick M., Siddhi Ramesh, James M. Dolezal, et al.. (2024). Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features. Science Advances. 10(46). eadq0856–eadq0856. 8 indexed citations
3.
Dolezal, James M., Sara Kochanny, Emma Dyer, et al.. (2024). Slideflow: deep learning for digital histopathology with real-time whole-slide visualization. BMC Bioinformatics. 25(1). 134–134. 20 indexed citations
4.
Dolezal, James M., Emma Dyer, Sara Kochanny, et al.. (2024). Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning. EBioMedicine. 107. 105276–105276. 5 indexed citations
5.
Khattri, Arun, Sheikh Nizamuddin, Sandeep Kaushik, et al.. (2024). Switching anti-EGFR antibody re-sensitizes head and neck cancer patient following acquired resistance to cetuximab. Cancer Gene Therapy. 31(10). 1477–1485. 1 indexed citations
6.
Araújo, Anna Luíza Damaceno, Maria Eduarda Pérez‐de‐Oliveira, Márcio Ajudarte Lopes, et al.. (2023). Machine learning for the prediction of toxicities from head and neck cancer treatment: A systematic review with meta-analysis. Oral Oncology. 140. 106386–106386. 17 indexed citations
7.
Partin, Alexander, Thomas Brettin, Yitan Zhu, et al.. (2023). Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images. Frontiers in Medicine. 10. 1058919–1058919. 6 indexed citations
8.
Howard, Frederick M., James M. Dolezal, Sara Kochanny, et al.. (2023). Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence. npj Breast Cancer. 9(1). 25–25. 30 indexed citations
9.
Dolezal, James M., Andrew Srisuwananukorn, Dmitry Karpeyev, et al.. (2022). Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology. Nature Communications. 13(1). 6572–6572. 75 indexed citations
10.
Dolezal, James M., Sara Kochanny, Sagar Rakshit, et al.. (2022). The use of artificial intelligence with uncertainty estimation to predict lung cancer relapse from histopathology.. Journal of Clinical Oncology. 40(16_suppl). 8549–8549.
11.
12.
Rosenberg, Ari J., Nishant Agrawal, Alexander T. Pearson, et al.. (2021). Risk and response adapted de-intensified treatment for HPV-associated oropharyngeal cancer: Optima paradigm expanded experience. Oral Oncology. 122. 105566–105566. 22 indexed citations
13.
Kochanny, Sara, Francis P. Worden, Douglas R. Adkins, et al.. (2020). A randomized phase 2 network trial of tivantinib plus cetuximab versus cetuximab in patients with recurrent/metastatic head and neck squamous cell carcinoma. Cancer. 126(10). 2146–2152. 27 indexed citations
14.
Seiwert, Tanguy Y., Sara Kochanny, Kevin Wood, et al.. (2020). A randomized phase 2 study of temsirolimus and cetuximab versus temsirolimus alone in recurrent/metastatic, cetuximab‐resistant head and neck cancer: The MAESTRO study. Cancer. 126(14). 3237–3243. 15 indexed citations
15.
Dolezal, James M., Chih‐Yi Liao, Sara Kochanny, et al.. (2020). Deep learning prediction of BRAF-RAS gene expression signature identifies noninvasive follicular thyroid neoplasms with papillary-like nuclear features. Modern Pathology. 34(5). 862–874. 43 indexed citations
16.
Maron, Steven B., Leah M. Chase, Samantha Lomnicki, et al.. (2019). Circulating Tumor DNA Sequencing Analysis of Gastroesophageal Adenocarcinoma. Clinical Cancer Research. 25(23). 7098–7112. 147 indexed citations
17.
Brisson, Ryan J., Sara Kochanny, Saba Arshad, et al.. (2019). A pilot study of the pan‐class I PI3K inhibitor buparlisib in combination with cetuximab in patients with recurrent or metastatic head and neck cancer. Head & Neck. 41(11). 3842–3849. 22 indexed citations
18.
Seiwert, Tanguy Y., Corey C. Foster, Elizabeth A. Blair, et al.. (2018). OPTIMA: a phase II dose and volume de-escalation trial for human papillomavirus-positive oropharyngeal cancer. Annals of Oncology. 30(2). 297–302. 149 indexed citations
19.
Kochanny, Sara, Corey C. Foster, Arun Khattri, et al.. (2018). Association of low serum albumin concentration with reduced overall survival for patients with metastatic head and neck cancer receiving anti-programmed death receptor-1 therapy.. Journal of Clinical Oncology. 36(15_suppl). 6057–6057.
20.
Melotek, J.M., Tanguy Y. Seiwert, Elizabeth A. Blair, et al.. (2017). Optima: A phase II dose and volume de-escalation trial for high- and low-risk HPV+ oropharynx cancers.. Journal of Clinical Oncology. 35(15_suppl). 6066–6066. 9 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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