Silpa Suthram

1.9k citations
11 papers · 1.1k indexed · 1 hit paper · h-index 7
Topics
Bioinformatics and Genomic Networks (4 papers)Viral Infections and Outbreaks Research (3 papers)Computational Drug Discovery Methods (3 papers)

In The Last Decade

Silpa Suthram

11 papers receiving 1.1k citations

Hit Papers

Conserved patterns of protein interaction in multiple spe...20052026201220192005100200300400500

Peers

Silpa Suthram
Comparison fields: 5 of 92
  • Molecular Biology 984
  • Computational Theory and Mathematics 289
  • Genetics 121
  • Public Health, Environmental and Occupational Health 46
  • Statistical and Nonlinear Physics 39
Replace Emmett Sprecher with:
Emmett Sprecher United States
Gisela Fobo Germany
Joshi-Tope Geeta United States
Barbara Brauner Germany
Andrew Winter United Kingdom
David Croft United Kingdom
Martin Lechner Germany
Leonardo Briganti Italy
Bijay Jassal United Kingdom
Andreas Zanzoni France
Silpa Suthram relative to Emmett Sprecher United States Emmett Sprecher's profile →
Citations per field
00.5×2.6×
Emmett Sprecher · 1×
Citations per year

Countries citing papers authored by Silpa Suthram

Since Specialization
Citations

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

Fields of papers citing papers by Silpa Suthram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silpa Suthram

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 4
2 1
3 2
4 3
5 17
6 78
7 247
8 97
9 92
10
Conserved patterns of protein interaction in multiple speciesbreakdown →
507
11 94

About Silpa Suthram

Silpa Suthram is a scholar working on Aging, Virology and Computational Theory and Mathematics, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Viral Infections and Outbreaks Research (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Computational Theory and Mathematics (289 citations), Molecular Biology (984 citations) and Aging (10 citations). Silpa Suthram has collaborated with scholars based in United States, Israel and Singapore. Frequent co-authors include Trey Ideker, Taylor Sittler, Richard M. Karp, Roded Sharan, Peter Uetz, Ryan Kelley, Scott McCuine, Rong Chen, Atul J. Butte and Annie Chiang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Cell 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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