Subbaya Subramanian
- Molecular Biology top 1%
- Cancer Research top 0.2%
- Pulmonary and Respiratory Medicine top 1%
- Oncology top 2%
- Immunology top 5%
- Co-authors
- Aaron L. SarverClifford J. SteerReena V. KarthaMatt van de RijnVenugopal ThayanithyTorsten O. NielsenXianda ZhaoLihua Li
- Topics
- MicroRNA in disease regulation (41 papers)Cancer-related molecular mechanisms research (30 papers)Sarcoma Diagnosis and Treatment (25 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Subbaya Subramanian
130 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 4.5k
- Cancer Research 3.0k
- Pulmonary and Respiratory Medicine 2.0k
- Oncology 1.4k
- Immunology 840
Countries citing papers authored by Subbaya Subramanian
This map shows the geographic impact of Subbaya 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 Subbaya Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subbaya Subramanian more than expected).
Fields of papers citing papers by Subbaya Subramanian
This network shows the impact of papers produced by Subbaya 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 Subbaya Subramanian. The network helps show where Subbaya Subramanian may publish in the future.
Co-authorship network of co-authors of Subbaya Subramanian
This figure shows the co-authorship network connecting the top 25 collaborators of Subbaya Subramanian. A scholar is included among the top collaborators of Subbaya 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 Subbaya Subramanian. Subbaya 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 | 5 | |
| 2 | 14 | |
| 3 | 71 | |
| 4 | 4 | |
| 5 | 18 | |
| 6 | 12 | |
| 7 | 10 | |
| 8 | 25 | |
| 9 | 6 | |
| 10 | 44 | |
| 11 | 66 | |
| 12 | 84 | |
| 13 | 38 | |
| 14 | 25 | |
| 15 | 118 | |
| 16 | 245 | |
| 17 | 59 | |
| 18 | 125 | |
| 19 | 142 | |
| 20 | The Novel Marker, DOG1, Is Expressed Ubiquitously in Gastrointestinal Stromal Tumors Irrespective of KIT or PDGFRA Mutation Statusbreakdown → | 487 |
About Subbaya Subramanian
Subbaya Subramanian is a scholar working on Cancer Research, Structural Biology and Physiology, having authored 134 papers that have together received 8.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (41 papers), Cancer-related molecular mechanisms research (30 papers) and Sarcoma Diagnosis and Treatment (25 papers). The work is most often cited by research in Cancer Research (3.0k citations), Gastroenterology (696 citations) and Molecular Biology (4.5k citations). Subbaya Subramanian has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Aaron L. Sarver, Clifford J. Steer, Reena V. Kartha, Matt van de Rijn, Venugopal Thayanithy, Torsten O. Nielsen, Xianda Zhao, Lihua Li, Robert B. West and Rakesh K. Mishra. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.