Sriram Pendyala
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Computational Drug Discovery Methods
Papers in
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- Cell Image Analysis Techniques 2
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- Single-cell and spatial transcriptomics 4
- CRISPR and Genetic Engineering 2
- Pluripotent Stem Cells Research 2
- Co-authors
- Douglas M. Fowler (8 shared papers)Sanjay R Srivatsan (2 shared papers)Raymond J. Monnat (1 shared paper)Dana L. Jackson (1 shared paper)Jason J. Stephany (1 shared paper)Emily M. Hatch (1 shared paper)Heather Z Huang (1 shared paper)Weiliang Tang (1 shared paper)
- Journals
- Genome biology (1 paper)Molecular Systems Biology (1 paper)Bioinformatics (1 paper)Cell (1 paper)Circulation Genomic and Precision Medicine (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Sriram Pendyala
12 papers receiving 395 citations
Peers
Comparison fields: 5 of 64
- Biophysics 59
- Computational Theory and Mathematics 145
- Molecular Biology 246
- Health Informatics 4
- Pharmacology 22
Countries citing papers authored by Sriram Pendyala
This map shows the geographic impact of Sriram Pendyala'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 Pendyala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sriram Pendyala more than expected).
Fields of papers citing papers by Sriram Pendyala
This network shows the impact of papers produced by Sriram Pendyala. 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 Pendyala. The network helps show where Sriram Pendyala may publish in the future.
Co-authors
The 25 scholars most cited alongside Sriram Pendyala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 243 | |
| 2 | 2020 | 53 | |
| 3 | 2024 | 46 | |
| 4 | 2024 | 17 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 7 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 4 | |
| 10 | 2025 | 3 | |
| 11 | 2021 | 1 | |
| 12 | 2026 | 1 |
About Sriram Pendyala
Sriram Pendyala is a scholar working on Biophysics, Molecular Biology, Cancer Research, Neurology and Genetics, having authored 12 papers that have together received 401 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), CRISPR and Genetic Engineering (2 papers), Pluripotent Stem Cells Research (2 papers), Genomics and Rare Diseases (2 papers), Cell Image Analysis Techniques (2 papers), Cancer Genomics and Diagnostics (1 paper), MicroRNA in disease regulation (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Biophysics (59 citations), Computational Theory and Mathematics (145 citations), Molecular Biology (246 citations), Health Informatics (4 citations) and Pharmacology (22 citations). Sriram Pendyala has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Douglas M. Fowler, Sanjay R Srivatsan, Raymond J. Monnat, Dana L. Jackson, Jason J. Stephany, Emily M. Hatch, Heather Z Huang, Weiliang Tang, Cole Trapnell and Shawn Fayer. Their work appears in journals such as Genome biology, Molecular Systems Biology, Bioinformatics, Cell and Circulation Genomic and Precision 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.