Sriram Pendyala

625 total citations
10 papers, 89 citations indexed

About

Sriram Pendyala is a scholar working on Molecular Biology, Biophysics and Biomedical Engineering. According to data from OpenAlex, Sriram Pendyala has authored 10 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Biophysics and 3 papers in Biomedical Engineering. Recurrent topics in Sriram Pendyala's work include Single-cell and spatial transcriptomics (3 papers), Cell Image Analysis Techniques (3 papers) and Pluripotent Stem Cells Research (2 papers). Sriram Pendyala is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Cell Image Analysis Techniques (3 papers) and Pluripotent Stem Cells Research (2 papers). Sriram Pendyala collaborates with scholars based in United States, Russia and Mexico. Sriram Pendyala's co-authors include Douglas M. Fowler, Raymond J. Monnat, Jason J. Stephany, Sanjay Srivatsan, Heather Z Huang, Emily M. Hatch, Weiliang Tang, Dana L. Jackson, Cole Trapnell and Charles E. Murry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Nature Cell Biology.

In The Last Decade

Sriram Pendyala

10 papers receiving 89 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sriram Pendyala United States 5 62 27 14 9 6 10 89
Yanshuang Zhou China 4 87 1.4× 8 0.3× 12 0.9× 7 0.8× 4 0.7× 7 124
Juntao Qi China 3 84 1.4× 8 0.3× 4 0.3× 7 0.8× 4 0.7× 7 113
Nelson Johansen United States 3 57 0.9× 19 0.7× 6 0.4× 6 0.7× 3 0.5× 3 65
Wolfgang Kopp Germany 6 131 2.1× 13 0.5× 17 1.2× 2 0.2× 3 0.5× 8 165
Ruta Meleckyte United Kingdom 4 53 0.9× 22 0.8× 9 0.6× 3 0.3× 18 3.0× 5 74
Sitara Persad United States 1 59 1.0× 16 0.6× 5 0.4× 6 0.7× 3 0.5× 2 66
Benjamin J. Auerbach United States 4 77 1.2× 11 0.4× 11 0.8× 30 3.3× 3 0.5× 6 107
Carlo De Donno Germany 3 120 1.9× 44 1.6× 5 0.4× 15 1.7× 10 1.7× 3 152
Claire Bell United States 4 60 1.0× 7 0.3× 6 0.4× 2 0.2× 6 1.0× 5 68
Dongshunyi Li United States 4 94 1.5× 25 0.9× 5 0.4× 17 1.9× 11 1.8× 6 101

Countries citing papers authored by Sriram Pendyala

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sriram Pendyala

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

All Works

10 of 10 papers shown
1.
Li, Gang, Hyeonjin Kim, Sriram Pendyala, et al.. (2025). Sceptic: pseudotime analysis for time-series single-cell sequencing and imaging data. Genome biology. 26(1). 209–209. 2 indexed citations
2.
DiPeso, Lucian, Sriram Pendyala, Heather Z Huang, Douglas M. Fowler, & Emily M. Hatch. (2024). Image-based identification and isolation of micronucleated cells to dissect cellular consequences. eLife. 13. 3 indexed citations
3.
Friedman, Clayton E., Shawn Fayer, Sriram Pendyala, et al.. (2024). Multiplexed Functional Assessments of MYH7 Variants in Human Cardiomyocytes. Circulation Genomic and Precision Medicine. 17(2). e004377–e004377. 4 indexed citations
4.
Weile, Jochen, Gabriel Boyle, Sriram Pendyala, et al.. (2024). Pacybara: accurate long-read sequencing for barcoded mutagenized allelic libraries. Bioinformatics. 40(4). 2 indexed citations
5.
Hamazaki, Nobuhiko, Wei Yang, Chengxiang Qiu, et al.. (2024). Retinoic acid induces human gastruloids with posterior embryo-like structures. Nature Cell Biology. 26(10). 1790–1803. 12 indexed citations
6.
Dawood, Moez, Shawn Fayer, Sriram Pendyala, et al.. (2024). Using multiplexed functional data to reduce variant classification inequities in underrepresented populations. Genome Medicine. 16(1). 143–143. 7 indexed citations
7.
Wither, Matthew J., et al.. (2023). Antigen perception in T cells by long-term Erk and NFAT signaling dynamics. Proceedings of the National Academy of Sciences. 120(52). e2308366120–e2308366120. 6 indexed citations
8.
Friedman, Clayton E., Shawn Fayer, Sriram Pendyala, et al.. (2023). CRaTER enrichment for on-target gene editing enables generation of variant libraries in hiPSCs. Journal of Molecular and Cellular Cardiology. 179. 60–71. 6 indexed citations
9.
10.
Srivatsan, Sanjay, Heather Z Huang, Jason J. Stephany, et al.. (2020). High‐throughput, microscope‐based sorting to dissect cellular heterogeneity. Molecular Systems Biology. 16(6). e9442–e9442. 46 indexed citations

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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