Aditya Apte

7.4k citations
118 papers · 2.5k indexed · h-index 27

Impact in

Papers in

    • Advanced Radiotherapy Techniques 34
    • Radiomics and Machine Learning in Medical Imaging 58
    • Medical Imaging Techniques and Applications 33
    • Radiation Dose and Imaging 10
    • MRI in cancer diagnosis 9

Aditya Apte

110 papers receiving 2.5k citations

Peers

Aditya Apte
Comparison fields: 5 of 109
  • Radiology, Nuclear Medicine and Imaging 1.7k
  • Radiation 582
  • Otorhinolaryngology 213
  • Pulmonary and Respiratory Medicine 834
  • Health Informatics 32
Replace Ulrike Schick with:
Ulrike Schick France
Pretesh Patel United States
Yong Yin China
Catherine Cheze Le Rest France
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Lisanne V. van Dijk Netherlands
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Martin W. Huellner Switzerland
Aditya Apte relative to Ulrike Schick France Ulrike Schick's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Aditya Apte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aditya Apte Line = papers co-authored together Aditya Apte links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008383
2 2008340
3 2007138
4 2015113
5 2016109
6 2018102
7 201077
8 201872
9 201747
10 201747
11 201445
12 201145
13 201545
14 201541
15 202040
16 202038
17 201938
18
Predictors of acute gastrointestinal toxicity during pelvic chemoradiotherapy in patients with rectal cancer.
201335
19 200635
20 201430

About Aditya Apte

Aditya Apte is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology, Pulmonary and Respiratory Medicine and Surgery, having authored 118 papers that have together received 2.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (58 papers), Advanced Radiotherapy Techniques (34 papers), Medical Imaging Techniques and Applications (33 papers), Lung Cancer Diagnosis and Treatment (25 papers), Head and Neck Cancer Studies (12 papers), Radiation Dose and Imaging (10 papers), Advanced X-ray and CT Imaging (9 papers) and MRI in cancer diagnosis (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.7k citations), Radiation (582 citations), Otorhinolaryngology (213 citations), Pulmonary and Respiratory Medicine (834 citations) and Health Informatics (32 citations). Aditya Apte has collaborated with scholars based in United States, United Kingdom and Canada. Frequent 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 Murilo Falleiros Lemos Schmitt. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Radiotherapy and Oncology, Physics in Medicine and Biology and Physics and Imaging in Radiation Oncology.

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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