Indu Arun
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
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- Breast Cancer Treatment Studies
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 15
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- Lymphoma Diagnosis and Treatment 7
- Breast Lesions and Carcinomas 5
- Co-authors
- Sanjoy Chatterjee (22 shared papers)Rosina Ahmed (17 shared papers)Chandan Chakraborty (7 shared papers)Pattatheyil Arun (11 shared papers)Monjoy Saha (5 shared papers)Rajeev Sharan (5 shared papers)Suman Tewary (5 shared papers)Paromita Roy (9 shared papers)
- Journals
- Journal of Microscopy (4 papers)Clinical Oncology (2 papers)Oral Oncology (2 papers)Head and Neck Pathology (2 papers)Cytometry Part B Clinical Cytometry (2 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Indu Arun
51 papers receiving 610 citations
Peers
Comparison fields: 5 of 67
- Otorhinolaryngology 57
- Cancer Research 127
- Oncology 173
- Health Informatics 8
- Biophysics 34
Countries citing papers authored by Indu Arun
This map shows the geographic impact of Indu Arun'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 Indu Arun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indu Arun more than expected).
Fields of papers citing papers by Indu Arun
This network shows the impact of papers produced by Indu Arun. 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 Indu Arun. The network helps show where Indu Arun may publish in the future.
Co-authors
The 25 scholars most cited alongside Indu Arun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 84 | |
| 2 | 2018 | 72 | |
| 3 | 2020 | 50 | |
| 4 | 2010 | 48 | |
| 5 | 2015 | 36 | |
| 6 | 2020 | 26 | |
| 7 | 2017 | 25 | |
| 8 | 2020 | 24 | |
| 9 | 2016 | 21 | |
| 10 | 2016 | 17 | |
| 11 | 2017 | 16 | |
| 12 | 2015 | 16 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 2009 | 10 | |
| 17 | 2016 | 10 | |
| 18 | 2018 | 10 | |
| 19 | 2018 | 8 | |
| 20 | 2023 | 8 |
About Indu Arun
Indu Arun is a scholar working on Oncology, Pathology and Forensic Medicine, Cancer Research, Artificial Intelligence and Surgery, having authored 52 papers that have together received 619 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (13 papers), AI in cancer detection (12 papers), Lymphoma Diagnosis and Treatment (7 papers), Head and Neck Cancer Studies (5 papers), Breast Lesions and Carcinomas (5 papers), Cell Image Analysis Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cutaneous lymphoproliferative disorders research (4 papers). The work is most often cited by research in Otorhinolaryngology (57 citations), Cancer Research (127 citations), Oncology (173 citations), Health Informatics (8 citations) and Biophysics (34 citations). Indu Arun has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Sanjoy Chatterjee, Rosina Ahmed, Chandan Chakraborty, Pattatheyil Arun, Monjoy Saha, Rajeev Sharan, Suman Tewary, Paromita Roy, Sanjit Kumar Agrawal and Kapila Manikantan. Their work appears in journals such as Journal of Microscopy, Clinical Oncology, Oral Oncology, Head and Neck Pathology and Cytometry Part B Clinical Cytometry.
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.