Pavithran T. Ravindran

819 citations
9 papers · 343 indexed · h-index 7
Topics
Single-cell and spatial transcriptomics (2 papers)Gene Regulatory Network Analysis (2 papers)Receptor Mechanisms and Signaling (2 papers)
Partner nations
United States

In The Last Decade

Pavithran T. Ravindran

9 papers receiving 343 citations

Peers

Pavithran T. Ravindran
Comparison fields: 5 of 61
  • Molecular Biology 233
  • Cellular and Molecular Neuroscience 78
  • Plant Science 67
  • Oncology 50
  • Biophysics 34
Replace Wen Qi Ho with:
Wen Qi Ho United States
Heather Jensen‐Smith United States
Spencer C. Alford Canada
Matthew D. Weitzman United States
Lyra Griffiths United States
Aerielle E. Matsangos United States
Steven J. Mayerl United States
Sandra Münch Germany
Bingbing Xie China
Giorgia Zambito Netherlands
Pavithran T. Ravindran relative to Wen Qi Ho United States Wen Qi Ho's profile →
Citations per field
00.5×4.3×
Wen Qi Ho · 1×
Citations per year

Countries citing papers authored by Pavithran T. Ravindran

Since Specialization
Citations

This map shows the geographic impact of Pavithran T. Ravindran'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 Pavithran T. Ravindran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavithran T. Ravindran more than expected).

Fields of papers citing papers by Pavithran T. Ravindran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pavithran T. Ravindran. 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 Pavithran T. Ravindran. The network helps show where Pavithran T. Ravindran may publish in the future.

Co-authorship network of co-authors of Pavithran T. Ravindran

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 16
3 14
4 15
5 9
6 100
7 66
8 116
9 6

About Pavithran T. Ravindran

Pavithran T. Ravindran is a scholar working on Biophysics, Condensed Matter Physics and Biomaterials, having authored 9 papers that have together received 343 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Gene Regulatory Network Analysis (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Biophysics (34 citations), Cellular and Molecular Neuroscience (78 citations) and Molecular Biology (233 citations). Pavithran T. Ravindran has collaborated with scholars based in United States. Frequent co-authors include Jared E. Toettcher, Maxwell Z. Wilson, Wendell A. Lim, Alexander G. Goglia, Liyuan Zhu, José L. Avalos‬, Evan M. Zhao, Agnieszka A. Gil, César Carrasco‐López and Xiaoqing Rong. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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