Jyotika Varshney

707 total citations
25 papers, 493 citations indexed

About

Jyotika Varshney is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jyotika Varshney has authored 25 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jyotika Varshney's work include Computational Drug Discovery Methods (8 papers), Virus-based gene therapy research (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). Jyotika Varshney is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Virus-based gene therapy research (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). Jyotika Varshney collaborates with scholars based in United States, Norway and Panama. Jyotika Varshney's co-authors include Subbaya Subramanian, Kaushik Chakravarty, David A. Largaespada, Milcah C. Scott, Maksim Khotimchenko, Daniel M. Walden, Jaime F. Modiano, Aaron L. Sarver, Susan K. Rathe and Logan G. Spector and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Scientific Reports.

In The Last Decade

Jyotika Varshney

24 papers receiving 464 citations

Peers

Jyotika Varshney
Comparison fields: 5 of 107
  • Molecular Biology 207
  • Cancer Research 93
  • Pulmonary and Respiratory Medicine 89
  • Computational Theory and Mathematics 67
  • Genetics 56
Replace Anne Cooper with:
Anne Cooper United Kingdom
Dana M. Zaher United Arab Emirates
Archie Thurston United States
Kimberly L. Moulton United States
Xiwei Ji China
Darren Bentley Switzerland
Kavita Pal India
Daniel Conole United Kingdom
Alessia Maria Cossu Italy
Anne Cooper United Kingdom View profile →
Citations per field, relative to Jyotika Varshney
Jyotika Varshney · 1×
Citations per year, relative to Jyotika Varshney
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Countries citing papers authored by Jyotika Varshney

Since Specialization
Citations

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

Fields of papers citing papers by Jyotika Varshney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyotika Varshney

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 9
3 6
4 2
5 19
6 19
7 49
8 14
9 29
10 6
11 84
12 38
13 28
14 15
15 35
16 23
17 3
18 30
19 25
20
Comprehensive computational analysis of different classes of Glutathione S-transferases in Triticum aestivum L.
3

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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