Saraswathi Abhiman

1.1k citations
15 papers · 837 indexed · h-index 12
Topics
Genomics and Phylogenetic Studies (6 papers)Bacteriophages and microbial interactions (3 papers)Machine Learning in Bioinformatics (2 papers)
Partner nations
United StatesSwedenIndia

In The Last Decade

Saraswathi Abhiman

15 papers receiving 833 citations

Peers

Saraswathi Abhiman
Comparison fields: 5 of 74
  • Molecular Biology 653
  • Plant Science 122
  • Genetics 102
  • Ecology 82
  • Public Health, Environmental and Occupational Health 77
Replace Stefanie R. Schmid with:
Stefanie R. Schmid Switzerland
Josette Banroques France
Yaming Shao United States
Stefan A. Paschen Germany
Juliana S. G. Fischer Brazil
Christina Waldsich Austria
Jason T. Huff United States
Michael L. Skowyra United States
Yael Fridmann‐Sirkis Israel
Saraswathi Abhiman relative to Stefanie R. Schmid Switzerland Stefanie R. Schmid's profile →
Citations per field
00.5×10×17×
Stefanie R. Schmid · 1×
Citations per year

Countries citing papers authored by Saraswathi Abhiman

Since Specialization
Citations

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

Fields of papers citing papers by Saraswathi Abhiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saraswathi Abhiman

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 52
2 166
3 40
4 55
5 93
6 66
7 32
8 109
9 77
10 4
11 8
12 24
13 9
14 33
15 69

About Saraswathi Abhiman

Saraswathi Abhiman is a scholar working on Molecular Biology, Hepatology and Ecology, having authored 15 papers that have together received 837 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Bacteriophages and microbial interactions (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Molecular Biology (653 citations), Virology (26 citations) and Aging (7 citations). Saraswathi Abhiman has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include L. Aravind, Lakshminarayan M. Iyer, Lakshminarayan M. Iyer, Erik L. L. Sonnhammer, Robson Francisco de Souza, A. Maxwell Burroughs, Narayanaswamy Srinivasan, Nicolas Joannin, Marie Wahlgren and Saumitra Das. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.

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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