Abhirami Ratnakumar

3.5k citations
12 papers · 1.1k indexed · 1 hit paper · h-index 8
Topics
Chromosomal and Genetic Variations (6 papers)Genomics and Phylogenetic Studies (6 papers)Genetic and phenotypic traits in livestock (2 papers)

In The Last Decade

Abhirami Ratnakumar

12 papers receiving 1.0k citations

Hit Papers

The genomic signature of dog domestication reveals adapta...20132026201720212013200400600

Peers

Abhirami Ratnakumar
Comparison fields: 5 of 109
  • Genetics 623
  • Molecular Biology 479
  • Plant Science 142
  • Ecology 115
  • Physiology 79
Replace Maja L. Arendt with:
Maja L. Arendt Sweden
Mark W. Neff United States
C. Schelling Switzerland
Travis D. Lorentzen United States
Dayna L. Dreger United States
Liu Yan-hu China
Maud Rimbault United States
A. Ruvinsky Russia
Ruoxi Fan China
Xingbo Zhao China
Abhirami Ratnakumar relative to Maja L. Arendt Sweden Maja L. Arendt's profile →
Citations per field
00.5×1.5×2.0×
Maja L. Arendt · 1×
Citations per year

Countries citing papers authored by Abhirami Ratnakumar

Since Specialization
Citations

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

Fields of papers citing papers by Abhirami Ratnakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhirami Ratnakumar

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 8
2 15
3 42
4
The genomic signature of dog domestication reveals adaptation to a starch-rich dietbreakdown →
635
5
Detecting Signatures of Selection within the Dog Genome
1
6 99
7 6
8 108
9 6
10 4
11 69
12 57

About Abhirami Ratnakumar

Abhirami Ratnakumar is a scholar working on Genetics, Endocrinology and Plant Science, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (6 papers), Genomics and Phylogenetic Studies (6 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Genetics (623 citations), Small Animals (72 citations) and Molecular Biology (479 citations). Abhirami Ratnakumar has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Matthew T. Webster, Erik Axelsson, Kerstin Lindblad‐Toh, Olof Liberg, Michele Perloski, Maja L. Arendt, Khurram Maqbool, Åke Hedhammar, Jon M. Arnemo and Chris P. Ponting. Their work appears in journals such as Nature, Nature Communications 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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