Suhas Srinivasan

606 total citations
8 papers, 208 citations indexed

About

Suhas Srinivasan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Clinical Psychology. According to data from OpenAlex, Suhas Srinivasan has authored 8 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Clinical Psychology. Recurrent topics in Suhas Srinivasan's work include Bioinformatics and Genomic Networks (3 papers), vaccines and immunoinformatics approaches (2 papers) and RNA modifications and cancer (2 papers). Suhas Srinivasan is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), vaccines and immunoinformatics approaches (2 papers) and RNA modifications and cancer (2 papers). Suhas Srinivasan collaborates with scholars based in United States. Suhas Srinivasan's co-authors include Dmitry Korkin, Hongzhu Cui, Oleksandr Narykov, Ziyang Gao, Senbao Lu, Ming Liu, Nathan Johnson, Brian Zarnegar, Mohamed Y. Eltabakh and Staci A. Gruber and has published in prestigious journals such as Nature, Nature Methods and Cell Reports.

In The Last Decade

Suhas Srinivasan

7 papers receiving 205 citations

Peers

Countries citing papers authored by Suhas Srinivasan

Since Specialization

Citations

This map shows the geographic impact of Suhas Srinivasan'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 Suhas Srinivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhas Srinivasan more than expected).

Fields of papers citing papers by Suhas Srinivasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suhas Srinivasan. 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 Suhas Srinivasan. The network helps show where Suhas Srinivasan may publish in the future.

Co-authorship network of co-authors of Suhas Srinivasan

This figure shows the co-authorship network connecting the top 25 collaborators of Suhas Srinivasan. A scholar is included among the top collaborators of Suhas Srinivasan 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 Suhas Srinivasan. Suhas Srinivasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	irCLIP-RNP and Re-CLIP reveal patterns of dynamic protein assemblies on RNA 2025 ·Nature ·Luca Ducoli, Brian Zarnegar, Douglas F. Porter, Robin M. Meyers, Weili Miao, Nicholas M. Riley, Suhas Srinivasan, (unknown), (unknown), (unknown), Yinsheng Wang, Carolyn R. Bertozzi, Ryan A. Flynn, Paul A. Khavari	2
2	DDX50 cooperates with STAU1 to effect stabilization of pro-differentiation RNAs 2025 ·Cell Reports ·Weili Miao, Douglas F. Porter, Zurab Siprashvili, Ian Ferguson, (unknown), Duy T. Nguyen, (unknown), Vanessa Lopez-Pajares, Suhas Srinivasan, Audrey W. Hong, (unknown), (unknown), Robin M. Meyers, Jordan M. Meyers, Shiying Tao, Yinsheng Wang, Paul A. Khavari	1
3	The Extent of Edgetic Perturbations in the Human Interactome Caused by Population-Specific Mutations 2023 ·Biomolecules ·Hongzhu Cui, Suhas Srinivasan, Ziyang Gao, Dmitry Korkin	0
4	Unravelling psychiatric heterogeneity and predicting suicide attempts in women with trauma-related dissociation using artificial intelligence 2022 ·European journal of psychotraumatology ·Suhas Srinivasan, Nathaniel G. Harnett, Liang Zhang, Mary Kathryn Dahlgren, (unknown), Senbao Lu, Benjamin C. Nephew, (unknown), (unknown), Mohamed Y. Eltabakh, Blaise B. Frederick, Staci A. Gruber, Milissa L. Kaufman, Jean A. King, Kerry J. Ressler, Sherry Winternitz, Dmitry Korkin, Lauren A. M. Lebois	1
5	Computational protein modeling and the next viral pandemic 2021 ·Nature Methods ·Oleksandr Narykov, Suhas Srinivasan, Dmitry Korkin	7
6	A hybrid deep clustering approach for robust cell type profiling using single-cell RNA-seq data 2020 ·RNA ·Suhas Srinivasan, (unknown), Nathan Johnson, Dmitry Korkin	15
7	Structural Genomics of SARS-CoV-2 Indicates Evolutionary Conserved Functional Regions of Viral Proteins 2020 ·Viruses ·Suhas Srinivasan, Hongzhu Cui, Ziyang Gao, Ming Liu, Senbao Lu, (unknown), Oleksandr Narykov, (unknown), Dmitry Korkin	172
8	Enriching Human Interactome with Functional Mutations to Detect High-Impact Network Modules Underlying Complex Diseases 2019 ·Genes ·Hongzhu Cui, Suhas Srinivasan, Dmitry Korkin	10

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.

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