Shefali S. Verma

168 total papers · 4.7k total citations
49 papers, 698 citations indexed

About

Shefali S. Verma is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shefali S. Verma has authored 49 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 21 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shefali S. Verma's work include Genetic Associations and Epidemiology (25 papers), Bioinformatics and Genomic Networks (15 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Shefali S. Verma is often cited by papers focused on Genetic Associations and Epidemiology (25 papers), Bioinformatics and Genomic Networks (15 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Shefali S. Verma collaborates with scholars based in United States, Netherlands and India. Shefali S. Verma's co-authors include Marylyn D. Ritchie, Yuki Bradford, Anastasia Lucas, Anurag Verma, Scott Dudek, Sarah A. Pendergrass, Ajay Singh, K. C. Bansal, Daniel J. Rader and Dokyoon Kim and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shefali S. Verma

45 papers receiving 690 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shefali S. Verma 335 310 59 57 52 49 698
Jennifer E. Huffman 272 0.8× 313 1.0× 58 1.0× 36 0.6× 72 1.4× 36 742
Matthew Zawistowski 314 0.9× 177 0.6× 44 0.7× 42 0.7× 39 0.8× 35 570
James W. Baurley 262 0.8× 227 0.7× 36 0.6× 26 0.5× 21 0.4× 44 705
Robert Goodloe 239 0.7× 180 0.6× 32 0.5× 38 0.7× 46 0.9× 41 680
Jung‐Ying Tzeng 505 1.5× 336 1.1× 37 0.6× 30 0.5× 17 0.3× 52 788
Ajay Yesupriya 197 0.6× 136 0.4× 75 1.3× 46 0.8× 69 1.3× 29 707
Juan Carlos Fernández-López 250 0.7× 175 0.6× 62 1.1× 36 0.6× 26 0.5× 27 689
Jennifer A. Brody 255 0.8× 171 0.6× 188 3.2× 37 0.6× 67 1.3× 29 662
Elena P. Sorokin 207 0.6× 282 0.9× 155 2.6× 42 0.7× 77 1.5× 29 723
Bing Xiao 184 0.5× 264 0.9× 31 0.5× 67 1.2× 44 0.8× 69 586

Countries citing papers authored by Shefali S. Verma

Since Specialization
Citations

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

Fields of papers citing papers by Shefali S. Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shefali S. Verma. 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 Shefali S. Verma. The network helps show where Shefali S. Verma may publish in the future.

Co-authorship network of co-authors of Shefali S. Verma

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

All Works

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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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