Preeti Subramanian
- Molecular Biology top 10%
- Cell Biology top 5%
- Ophthalmology top 2%
- Physiology
- Immunology
- Co-authors
- Charles E. ChalfantS. Patricia BecerraRobert V. StahelinAlicja BielawskaDayanjan S. WijesingheWonhwa ChoZdzisław M. SzulcMohsin Vora
- Topics
- Retinal Diseases and Treatments (14 papers)Retinal Development and Disorders (10 papers)Sphingolipid Metabolism and Signaling (6 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesItalyCanada
In The Last Decade
Preeti Subramanian
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 1.1k
- Cell Biology 233
- Ophthalmology 216
- Physiology 187
- Immunology 161
Countries citing papers authored by Preeti Subramanian
This map shows the geographic impact of Preeti 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 Preeti Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preeti Subramanian more than expected).
Fields of papers citing papers by Preeti Subramanian
This network shows the impact of papers produced by Preeti 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 Preeti Subramanian. The network helps show where Preeti Subramanian may publish in the future.
Co-authorship network of co-authors of Preeti Subramanian
This figure shows the co-authorship network connecting the top 25 collaborators of Preeti Subramanian. A scholar is included among the top collaborators of Preeti 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 Preeti Subramanian. Preeti 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 | 9 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 46 | |
| 5 | Comparison of two neurotrophic serpins reveals a small fragment with cell survival activity. | 8 |
| 6 | 34 | |
| 7 | 16 | |
| 8 | 61 | |
| 9 | 48 | |
| 10 | Pigment Epithelium-derived Factor Inhibits Neuroretinal Apoptosis in a Murine Model of Focal Retinal Degeneration | 1 |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 85 | |
| 14 | 45 | |
| 15 | 48 | |
| 16 | 43 | |
| 17 | 111 | |
| 18 | 112 | |
| 19 | 57 | |
| 20 | 299 |
About Preeti Subramanian
Preeti Subramanian is a scholar working on Ophthalmology, Neurology and Molecular Biology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (14 papers), Retinal Development and Disorders (10 papers) and Sphingolipid Metabolism and Signaling (6 papers). The work is most often cited by research in Ophthalmology (216 citations), Molecular Biology (1.1k citations) and Cell Biology (233 citations). Preeti Subramanian has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Charles E. Chalfant, S. Patricia Becerra, Robert V. Stahelin, Alicja Bielawska, Dayanjan S. Wijesinghe, Wonhwa Cho, Zdzisław M. Szulc, Mohsin Vora, Patrick Roddy and Michael Maceyka. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.
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.