Sriram Subramaniam
- Molecular Biology top 0.5%
- Structural Biology top 0.02%
- Cellular and Molecular Neuroscience top 0.5%
- Infectious Diseases top 0.5%
- Virology top 0.2%
- Co-authors
- Alberto BartesaghiMario J. BorgniaGuillermo SapiroJacqueline L.S. MilneRichard A. HendersonOleg KuybedaGabriel A. FrankAlan Merk
- Topics
- Advanced Electron Microscopy Techniques and Applications (57 papers)Photoreceptor and optogenetics research (32 papers)Neuroscience and Neuropharmacology Research (28 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Sriram Subramaniam
198 papers receiving 14.0k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Molecular Biology 7.0k
- Structural Biology 2.4k
- Cellular and Molecular Neuroscience 2.2k
- Infectious Diseases 1.8k
- Virology 1.6k
Countries citing papers authored by Sriram Subramaniam
This map shows the geographic impact of Sriram Subramaniam'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 Sriram Subramaniam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sriram Subramaniam more than expected).
Fields of papers citing papers by Sriram Subramaniam
This network shows the impact of papers produced by Sriram Subramaniam. 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 Sriram Subramaniam. The network helps show where Sriram Subramaniam may publish in the future.
Co-authorship network of co-authors of Sriram Subramaniam
This figure shows the co-authorship network connecting the top 25 collaborators of Sriram Subramaniam. A scholar is included among the top collaborators of Sriram Subramaniam 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 Sriram Subramaniam. Sriram Subramaniam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 21 | |
| 5 | 12 | |
| 6 | SARS-CoV-2 Omicron variant: Antibody evasion and cryo-EM structure of spike protein–ACE2 complexbreakdown → | 408 |
| 7 | 135 | |
| 8 | 62 | |
| 9 | 23 | |
| 10 | 118 | |
| 11 | 91 | |
| 12 | 99 | |
| 13 | 269 | |
| 14 | 76 | |
| 15 | 62 | |
| 16 | 71 | |
| 17 | A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomographybreakdown → | 1561 |
| 18 | 51 | |
| 19 | 67 | |
| 20 | 140 |
About Sriram Subramaniam
Sriram Subramaniam is a scholar working on Structural Biology, Virology and Biophysics, having authored 200 papers that have together received 14.2k indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (57 papers), Photoreceptor and optogenetics research (32 papers) and Neuroscience and Neuropharmacology Research (28 papers). The work is most often cited by research in Structural Biology (2.4k citations), Virology (1.6k citations) and Surfaces, Coatings and Films (1.0k citations). Sriram Subramaniam has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Alberto Bartesaghi, Mario J. Borgnia, Guillermo Sapiro, Jacqueline L.S. Milne, Richard A. Henderson, Oleg Kuybeda, Gabriel A. Frank, Alan Merk, Teruhisa Hirai and Kedar Narayan. Their work appears in journals such as Nature, Science and Cell.
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.