Sriram Pendyala

625 citations
10 papers · 89 · h-index 5

Impact in

Papers in

    • Single-cell and spatial transcriptomics 3
    • Pluripotent Stem Cells Research 2
    • Genomics and Phylogenetic Studies 1
    • Cell Image Analysis Techniques 3

Sriram Pendyala

10 papers receiving 89 citations

Peers

Sriram Pendyala
Comparison fields: 5 of 35
  • Biophysics 27
  • Aging 2
  • Molecular Biology 62
  • Business and International Management 1
  • Genetics 14
Replace Yanshuang Zhou with:
Yanshuang Zhou China
Nelson Johansen United States
Ruta Meleckyte United Kingdom
Juntao Qi China
Alexander Strzalkowski United States
Wolfgang Kopp Germany
Sitara Persad United States
Benjamin J. Auerbach United States
Richard K. Perez United States
Dongshunyi Li United States
Sriram Pendyala relative to Yanshuang Zhou China Yanshuang Zhou's profile →
Citations per field
00.5×3.4×
Yanshuang Zhou · 1×
Citations per year

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-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.

Border = papers with Sriram Pendyala Line = papers co-authored together Sriram Pendyala links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 202046
2 202412
3 20247
4 20236
5 20236
6 20244
7 20243
8 20242
9 20252
10 20211

About Sriram Pendyala

Sriram Pendyala is a scholar working on Molecular Biology, Biophysics, Biomedical Engineering, Genetics and Neurology, having authored 10 papers that have together received 89 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Cell Image Analysis Techniques (3 papers), Pluripotent Stem Cells Research (2 papers), MicroRNA in disease regulation (1 paper), Genetic Associations and Epidemiology (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), 3D Printing in Biomedical Research (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Biophysics (27 citations), Aging (2 citations), Molecular Biology (62 citations), Business and International Management (1 citation) and Genetics (14 citations). Sriram Pendyala has collaborated with scholars based in United States, Russia and Mexico. Frequent co-authors include Douglas M. Fowler, Heather Z Huang, Raymond J. Monnat, Dana L. Jackson, Jason J. Stephany, Emily M. Hatch, Sanjay Srivatsan, Weiliang Tang, Cole Trapnell and Beth Martin. Their work appears in journals such as Nature Cell Biology, Molecular Systems Biology, Journal of Molecular and Cellular Cardiology, Bioinformatics and Genome biology.

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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