Harry Subramanian
- Insect Science top 5%
- Molecular Biology
- Immunology
- Public Health, Environmental and Occupational Health
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Ari YasunagaJie XuSara CherryBeth GoldNicolas BuchonJonathan CohenBeth Gordesky-GoldIan T. Lamborn
- Topics
- Radiomics and Machine Learning in Medical Imaging (11 papers)Brain Tumor Detection and Classification (7 papers)Artificial Intelligence in Healthcare and Education (3 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Harry Subramanian
18 papers receiving 433 citations
Peers
Comparison fields: 5 of 80
- Insect Science 129
- Molecular Biology 119
- Immunology 119
- Public Health, Environmental and Occupational Health 94
- Radiology, Nuclear Medicine and Imaging 60
Countries citing papers authored by Harry Subramanian
This map shows the geographic impact of Harry Subramanian'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 Harry Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harry Subramanian more than expected).
Fields of papers citing papers by Harry Subramanian
This network shows the impact of papers produced by Harry Subramanian. 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 Harry Subramanian. The network helps show where Harry Subramanian may publish in the future.
Co-authorship network of co-authors of Harry Subramanian
This figure shows the co-authorship network connecting the top 25 collaborators of Harry Subramanian. A scholar is included among the top collaborators of Harry Subramanian 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 Harry Subramanian. Harry Subramanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 24 | |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 9 | |
| 15 | 121 | |
| 16 | IGFBP3 promotes esophageal cancer growth by suppressing oxidative stress in hypoxic tumor microenvironment. | 67 |
| 17 | 87 | |
| 18 | 40 | |
| 19 | Notch receptor inhibition reveals the importance of cyclin D1 and Wnt signaling in invasive esophageal squamous cell carcinoma. | 30 |
| 20 | 1 |
About Harry Subramanian
Harry Subramanian is a scholar working on Health Informatics, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 438 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Brain Tumor Detection and Classification (7 papers) and Artificial Intelligence in Healthcare and Education (3 papers). The work is most often cited by research in Insect Science (129 citations), Health Informatics (8 citations) and Immunology (119 citations). Harry Subramanian has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Ari Yasunaga, Jie Xu, Sara Cherry, Beth Gold, Nicolas Buchon, Jonathan Cohen, Beth Gordesky-Gold, Ian T. Lamborn, Leah R. Sabin and Kaycie C. Hopkins. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neurology and Cancer Research.
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.