Aditya Apte

7.4k total citations
118 papers, 2.5k citations indexed

About

Aditya Apte is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Aditya Apte has authored 118 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Radiology, Nuclear Medicine and Imaging, 42 papers in Pulmonary and Respiratory Medicine and 34 papers in Radiation. Recurrent topics in Aditya Apte's work include Radiomics and Machine Learning in Medical Imaging (58 papers), Advanced Radiotherapy Techniques (34 papers) and Medical Imaging Techniques and Applications (33 papers). Aditya Apte is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (58 papers), Advanced Radiotherapy Techniques (34 papers) and Medical Imaging Techniques and Applications (33 papers). Aditya Apte collaborates with scholars based in United States, United Kingdom and Canada. Aditya Apte's co-authors include Joseph O. Deasy, Issam El Naqa, Jung Hun Oh, Maria Thor, Walter Bosch, Harini Veeraraghavan, Wade L. Thorstad, Deshan Yang, S Chaudhari and Perry W. Grigsby and has published in prestigious journals such as Scientific Reports, Radiology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Aditya Apte

110 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aditya Apte United States	27	1.7k	834	582	570	542	118	2.5k
Ulrike Schick France	30	1.8k 1.1×	1.4k 1.6×	427 0.7×	400 0.7×	732 1.4×	189	3.1k
Pretesh Patel United States	33	1.4k 0.8×	1.3k 1.6×	949 1.6×	305 0.5×	458 0.8×	180	3.1k
Yong Yin China	21	1.1k 0.7×	799 1.0×	608 1.0×	250 0.4×	202 0.4×	195	1.8k
Charlotte Robert France	21	2.9k 1.7×	1.4k 1.7×	622 1.1×	349 0.6×	866 1.6×	59	3.8k
David Fried United States	18	1.6k 0.9×	809 1.0×	173 0.3×	342 0.6×	452 0.8×	60	2.0k
Catherine Cheze Le Rest France	29	3.9k 2.3×	1.1k 1.3×	512 0.9×	351 0.6×	516 1.0×	74	4.2k
Abdallah Mohamed United States	32	1.5k 0.9×	1.2k 1.4×	869 1.5×	677 1.2×	552 1.0×	223	3.7k
Michael R. Folkert United States	26	713 0.4×	968 1.2×	520 0.9×	528 0.9×	317 0.6×	118	1.9k
Michele Avanzo Italy	22	1.3k 0.8×	719 0.9×	418 0.7×	148 0.3×	253 0.5×	63	1.8k
Lisanne V. van Dijk Netherlands	23	1.3k 0.8×	641 0.8×	669 1.1×	243 0.4×	233 0.4×	89	1.9k

Countries citing papers authored by Aditya Apte

Since Specialization

Citations

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

Fields of papers citing papers by Aditya Apte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Apte

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

All Works

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20 of 20 papers shown

Ibrahim, Abdalla, Ramesh Paudyal, Akash Shah, et al.. (2025). Impact of artificial intelligence-based and traditional image preprocessing and resampling on MRI-based radiomics for classification of papillary thyroid carcinoma. PubMed. 2(1). ubaf006–ubaf006.

Bozzo, Anthony, Aditya Apte, Jiawen Deng, et al.. (2024). A multimodal neural network with gradient blending improves predictions of survival and metastasis in sarcoma. npj Precision Oncology. 8(1). 188–188. 6 indexed citations

Apte, Aditya, et al.. (2024). In-Depth Timing Study of AI-Assisted OAR Contouring with a Single Institution Expert. International Journal of Radiation Oncology*Biology*Physics. 120(2). e621–e621. 1 indexed citations

Iyer, Aditi, Maria Thor, Abraham J. Wu, et al.. (2023). Simulating the Potential of Model-Based Individualized Prescriptions for Ultracentral Lung Tumors. Advances in Radiation Oncology. 8(6). 101285–101285. 2 indexed citations

Iyer, Aditi, Aditya Apte, Maria Thor, et al.. (2023). ROE (Radiotherapy Outcomes Estimator): An open-source tool for optimizing radiotherapy prescriptions. Computer Methods and Programs in Biomedicine. 242. 107833–107833. 1 indexed citations

Wu, Abraham J., Andrew Jackson, Angela Ng, et al.. (2022). External validation of pulmonary radiotherapy toxicity models for ultracentral lung tumors. Clinical and Translational Radiation Oncology. 38. 57–61. 3 indexed citations

Apte, Aditya, Aditi Iyer, Maria Thor, et al.. (2020). Library of deep-learning image segmentation and outcomes model-implementations. Physica Medica. 73. 190–196. 17 indexed citations

Katsoulakis, Evangelia, Yao Yu, Aditya Apte, et al.. (2020). Radiomic analysis identifies tumor subtypes associated with distinct molecular and microenvironmental factors in head and neck squamous cell carcinoma. Oral Oncology. 110. 104877–104877. 26 indexed citations

Thor, Maria, et al.. (2020). Using Auto-Segmentation to Reduce Contouring and Dose Inconsistency in Clinical Trials: The Simulated Impact on RTOG 0617. International Journal of Radiation Oncology*Biology*Physics. 109(5). 1619–1626. 40 indexed citations

10.

Thor, Maria, Joseph O. Deasy, Aditi Iyer, et al.. (2019). Toward personalized dose-prescription in locally advanced non-small cell lung cancer: Validation of published normal tissue complication probability models. Radiotherapy and Oncology. 138. 45–51. 24 indexed citations

11.

Horvat, João V., Aditi Iyer, Elizabeth A. Morris, et al.. (2019). Histogram Analysis and Visual Heterogeneity of Diffusion-Weighted Imaging with Apparent Diffusion Coefficient Mapping in the Prediction of Molecular Subtypes of Invasive Breast Cancers. Contrast Media & Molecular Imaging. 2019. 1–9. 16 indexed citations

12.

Gay, Hiram A., Jung Hun Oh, Aditya Apte, et al.. (2018). Predictors of acute throat or esophageal patient reported pain during radiation therapy for head and neck cancer. Clinical and Translational Radiation Oncology. 13. 1–6. 1 indexed citations

13.

Deasy, Joseph O., Maria Thor, Jung Hun Oh, Aditya Apte, & Andreas Rimner. (2018). Developing prognostic models for progression-free survival in early stage non-small cell lung cancer. OSF Preprints (OSF Preprints). 1 indexed citations

14.

Dashevsky, Brittany Z., Jung Hun Oh, Aditya Apte, et al.. (2018). MRI features predictive of negative surgical margins in patients with HER2 overexpressing breast cancer undergoing breast conservation. Scientific Reports. 8(1). 315–315. 7 indexed citations

15.

Crispin‐Ortuzar, Mireia, Aditya Apte, Milan Grkovski, et al.. (2017). Combined FDG and CT Radiomics Features Predict FMISO Uptake in Head and Neck Cancer. International Journal of Radiation Oncology*Biology*Physics. 99(2). S49–S50. 1 indexed citations

16.

Dean, Jamie, Kee H. Wong, Hiram A. Gay, et al.. (2017). Incorporating spatial dose metrics in machine learning-based normal tissue complication probability (NTCP) models of severe acute dysphagia resulting from head and neck radiotherapy. Clinical and Translational Radiation Oncology. 8. 27–39. 29 indexed citations

17.

Tyagi, Neelam, Elizabeth J. Sutton, Margie Hunt, et al.. (2016). Morphologic Features of Magnetic Resonance Imaging as a Surrogate of Capsular Contracture in Breast Cancer Patients With Implant-based Reconstructions. International Journal of Radiation Oncology*Biology*Physics. 97(2). 411–419. 6 indexed citations

18.

Zhang, Pengpeng, Andreas Rimner, Yu‐Chi Hu, et al.. (2016). A geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planning. Physics in Medicine and Biology. 62(3). 702–714. 12 indexed citations

19.

Folkert, Michael R., Jung Hun Oh, Jeremy Setton, et al.. (2013). Predictive Modeling of Outcomes Following Definitive Chemoradiation Therapy for Oropharyngeal Cancer Based on FDG-PET Image Characteristics. International Journal of Radiation Oncology*Biology*Physics. 87(2). S3–S3. 1 indexed citations

20.

Apte, Aditya, Rawan Al-Lozi, Gisèle Pereira, et al.. (2010). A Graphical Tool and Methods for Assessing Margin Definition From Daily Image Deformations. Journal of Radiation Oncology. 2(1). 9–19. 2 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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