Meena Subramanyam
- Oncology top 1%
- Pathology and Forensic Medicine top 1%
- Immunology top 2%
- Electrical and Electronic Engineering top 10%
- Molecular Biology
- Co-authors
- Tatiana PlavinaSandra RichmanGary BloomgrenAlfred SandrockSophia LeeSusan GoelzCarmen BozicJames Scanlon
- Topics
- Polyomavirus and related diseases (20 papers)Full-Duplex Wireless Communications (14 papers)Biosimilars and Bioanalytical Methods (11 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesThe Journal of Experimental Medicine
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Meena Subramanyam
53 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Oncology 1.7k
- Pathology and Forensic Medicine 1.2k
- Immunology 959
- Electrical and Electronic Engineering 622
- Molecular Biology 520
Countries citing papers authored by Meena Subramanyam
This map shows the geographic impact of Meena Subramanyam'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 Meena Subramanyam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meena Subramanyam more than expected).
Fields of papers citing papers by Meena Subramanyam
This network shows the impact of papers produced by Meena Subramanyam. 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 Meena Subramanyam. The network helps show where Meena Subramanyam may publish in the future.
Co-authorship network of co-authors of Meena Subramanyam
This figure shows the co-authorship network connecting the top 25 collaborators of Meena Subramanyam. A scholar is included among the top collaborators of Meena Subramanyam 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 Meena Subramanyam. Meena Subramanyam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 13 | |
| 3 | 236 | |
| 4 | 306 | |
| 5 | 13 | |
| 6 | 126 | |
| 7 | Risk of Natalizumab-Associated Progressive Multifocal Leukoencephalopathybreakdown → | 878 |
| 8 | 17 | |
| 9 | 91 | |
| 10 | 89 | |
| 11 | 32 | |
| 12 | 79 | |
| 13 | 326 | |
| 14 | 65 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 50 | |
| 18 | 8 | |
| 19 | 20 | |
| 20 | 109 |
About Meena Subramanyam
Meena Subramanyam is a scholar working on Immunology, Oncology and Pathology and Forensic Medicine, having authored 53 papers that have together received 3.2k indexed citations. Recurring topics across this work include Polyomavirus and related diseases (20 papers), Full-Duplex Wireless Communications (14 papers) and Biosimilars and Bioanalytical Methods (11 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.2k citations), Oncology (1.7k citations) and Immunology (959 citations). Meena Subramanyam has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Tatiana Plavina, Sandra Richman, Gary Bloomgren, Alfred Sandrock, Sophia Lee, Susan Goelz, Carmen Bozic, James Scanlon, Christophe Hotermans and Brian Schlain. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.