Sankar Subramanian

7.6k total citations · 1 hit paper
56 papers, 3.1k citations indexed

About

Sankar Subramanian is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Sankar Subramanian has authored 56 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 27 papers in Molecular Biology and 7 papers in Plant Science. Recurrent topics in Sankar Subramanian's work include Genomics and Phylogenetic Studies (20 papers), Genetic diversity and population structure (14 papers) and RNA and protein synthesis mechanisms (12 papers). Sankar Subramanian is often cited by papers focused on Genomics and Phylogenetic Studies (20 papers), Genetic diversity and population structure (14 papers) and RNA and protein synthesis mechanisms (12 papers). Sankar Subramanian collaborates with scholars based in Australia, United States and New Zealand. Sankar Subramanian's co-authors include Sudhir Kumar, Jamie J. Cannone, Nupur T. Pande, Lakshmi V Madabusi, Robin R. Gutell, Lisa M. D'Souza, Nan Yu, Nan Lin, Kirsten M. Müller and James R. Collett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Sankar Subramanian

54 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Comparative RNA Web (CRW) Site: an online database of comparative sequence and structure information for ribosomal, intron, and other RNAs

2002 1.4k citations Sankar Subramanian et al. profile →

Peers

Sankar Subramanian

MB

GENET

ECOLO

PS

EEBS

Manfred Grabherr Sweden

Ari Löytynoja Finland

Philippe Lopez France

Guoqing Lu United States

Xiuyue Zhang China

Si Quang Le United Kingdom

Cecilia Lanave Italy

Sonja J. Prohaska Germany

Stinus Lindgreen Denmark

Carolin Kosiol United Kingdom

Manfred Grabherr Sweden

Sankar Subramanian

1.5k ×0.8

MB

1.3k ×1.3

GENET

484 ×0.9

ECOLO

507 ×1.5

PS

418 ×1.7

EEBS

Citations per year, relative to Sankar Subramanian Sankar Subramanian (= 1×) peers Manfred Grabherr

Countries citing papers authored by Sankar Subramanian

Since Specialization

Citations

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

Fields of papers citing papers by Sankar Subramanian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sankar Subramanian

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

All Works

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20 of 20 papers shown

1.

Subramanian, Sankar. (2025). The Abundance of Harmful Rare Homozygous Variants in Children of Consanguineous Parents. Biology. 14(3). 310–310.

2.

Conroy, Gabriel, et al.. (2024). Genomic Consequences of Isolation and Inbreeding in an Island Dingo Population. Genome Biology and Evolution. 16(7). 3 indexed citations

3.

Subramanian, Sankar, et al.. (2023). Genomic footprints of bottleneck in landlocked salmon population. Scientific Reports. 13(1). 6706–6706. 1 indexed citations

4.

Premachandra, H.K.A., Alistair Becker, Danielle Johnston, et al.. (2023). Genomic analyses indicate two blue swimmer crab species in Australia, evidence for natural interspecific hybridization and genetic structure within species with implications for fisheries management and stock enhancement. Fisheries Research. 265. 106757–106757. 3 indexed citations

5.

Subramanian, Sankar. (2021). Deleterious protein-coding variants in diverse cattle breeds of the world. Genetics Selection Evolution. 53(1). 80–80. 1 indexed citations

6.

Wasef, Sally, Sankar Subramanian, Richard O’Rorke, et al.. (2019). Mitogenomic diversity in Sacred Ibis Mummies sheds light on early Egyptian practices. PLoS ONE. 14(11). e0223964–e0223964. 16 indexed citations

7.

Botwright, Natasha A., Min Zhao, Tianfang Wang, et al.. (2019). Greenlip Abalone (Haliotis laevigata) Genome and Protein Analysis Provides Insights into Maturation and Spawning. G3 Genes Genomes Genetics. 9(10). 3067–3078. 16 indexed citations

8.

Subramanian, Sankar, et al.. (2019). VCF2PopTree : a client-side software to construct population phylogeny from genome-wide SNPs. PeerJ. 7. e8213–e8213. 26 indexed citations

9.

Subramanian, Sankar. (2015). Europeans have a higher proportion of high-frequency deleterious variants than Africans. Human Genetics. 135(1). 1–7. 6 indexed citations

10.

Subramanian, Sankar, Elmira Mohandesan, Craig D. Millar, & David M. Lambert. (2015). Distance-dependent patterns of molecular divergences in tuatara mitogenomes. Scientific Reports. 5(1). 8703–8703. 4 indexed citations

11.

Subramanian, Sankar, Dee R. Denver, Craig D. Millar, et al.. (2009). High mitogenomic evolutionary rates and time dependency. Trends in Genetics. 25(11). 482–486. 81 indexed citations

12.

Subramanian, Sankar. (2008). Nearly Neutrality and the Evolution of Codon Usage Bias in Eukaryotic Genomes. Genetics. 178(4). 2429–2432. 47 indexed citations

13.

Millar, Craig D., Leon Huynen, Sankar Subramanian, Elmira Mohandesan, & David M. Lambert. (2008). New developments in ancient genomics. Trends in Ecology & Evolution. 23(7). 386–393. 62 indexed citations

14.

Witkowski, Andrew, et al.. (2007). Continuous queries in oracle. Very Large Data Bases. 1173–1184. 13 indexed citations

15.

Subramanian, Sankar & Sudhir Kumar. (2006). Higher Intensity of Purifying Selection on >90% of the Human Genes Revealed by the Intrinsic Replacement Mutation Rates. Molecular Biology and Evolution. 23(12). 2283–2287. 24 indexed citations

16.

Elser, James J., William F. Fagan, Sankar Subramanian, & Sudhir Kumar. (2006). Signatures of Ecological Resource Availability in the Animal and Plant Proteomes. Molecular Biology and Evolution. 23(10). 1946–1951. 46 indexed citations

17.

Witkowski, Andrew, et al.. (2005). Query by Excel. Very Large Data Bases. 1204–1215. 10 indexed citations

18.

Witkowski, Andrew, et al.. (2005). Optimizing refresh of a set of materialized views. Very Large Data Bases. 1043–1054. 16 indexed citations

19.

Jancovich, James K., Jinghe Mao, V. Gregory Chinchar, et al.. (2003). Genomic sequence of a ranavirus (family Iridoviridae) associated with salamander mortalities in North America. Virology. 316(1). 90–103. 123 indexed citations

20.

Subramanian, Sankar & Sudhir Kumar. (2003). Neutral Substitutions Occur at a Faster Rate in Exons Than in Noncoding DNA in Primate Genomes. Genome Research. 13(5). 838–844. 98 indexed citations

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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