Pradnya D. Patil
- Pulmonary and Respiratory Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Oncology top 5%
- Surgery
- Biomedical Engineering
- Co-authors
- Vamsidhar VelchetiAnant MadabhushiKaustav BeraMohammadhadi KhorramiPingfu FuAmit GuptaMehdi AlilouNathan A. Pennell
- Topics
- Cancer Immunotherapy and Biomarkers (23 papers)Radiomics and Machine Learning in Medical Imaging (18 papers)Lung Cancer Diagnosis and Treatment (17 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesIndiaMyanmar
In The Last Decade
Pradnya D. Patil
61 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Pulmonary and Respiratory Medicine 644
- Radiology, Nuclear Medicine and Imaging 577
- Oncology 563
- Surgery 138
- Biomedical Engineering 124
Countries citing papers authored by Pradnya D. Patil
This map shows the geographic impact of Pradnya D. Patil'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 Pradnya D. Patil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradnya D. Patil more than expected).
Fields of papers citing papers by Pradnya D. Patil
This network shows the impact of papers produced by Pradnya D. Patil. 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 Pradnya D. Patil. The network helps show where Pradnya D. Patil may publish in the future.
Co-authorship network of co-authors of Pradnya D. Patil
This figure shows the co-authorship network connecting the top 25 collaborators of Pradnya D. Patil. A scholar is included among the top collaborators of Pradnya D. Patil 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 Pradnya D. Patil. Pradnya D. Patil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | DEVELOPMENT AND ANALYSIS OF TREATED AND UNTREATED NATURAL BANANA FIBER COMPOSITE | 1 |
| 8 | 6 | |
| 9 | 34 | |
| 10 | 200 | |
| 11 | 86 | |
| 12 | Analysis Of Psychological Approach Behind Physics Subject -Feels Difficult | 1 |
| 13 | 4 | |
| 14 | 17 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 18 | |
| 19 | 7 | |
| 20 | 2 |
About Pradnya D. Patil
Pradnya D. Patil is a scholar working on Microbiology, Oncology and Pulmonary and Respiratory Medicine, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (23 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Lung Cancer Diagnosis and Treatment (17 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (577 citations), Oncology (563 citations) and Pulmonary and Respiratory Medicine (644 citations). Pradnya D. Patil has collaborated with scholars based in United States, India and Myanmar. Frequent co-authors include Vamsidhar Velcheti, Anant Madabhushi, Kaustav Bera, Mohammadhadi Khorrami, Pingfu Fu, Amit Gupta, Mehdi Alilou, Nathan A. Pennell, Rajat Thawani and Tanmay S. Panchabhai. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.