Gaurav K. Varshney

3.8k citations
54 papers · 2.3k indexed · h-index 22
Topics
CRISPR and Genetic Engineering (27 papers)Advanced biosensing and bioanalysis techniques (10 papers)Zebrafish Biomedical Research Applications (8 papers)
Partner nations
United StatesSwedenChina

In The Last Decade

Gaurav K. Varshney

52 papers receiving 2.3k citations

Peers

Gaurav K. Varshney
Comparison fields: 5 of 116
  • Molecular Biology 1.6k
  • Genetics 626
  • Cell Biology 586
  • Oncology 196
  • Immunology 182
Replace Zacharias Kontarakis with:
Zacharias Kontarakis Germany
Kazuyuki Hoshijima United States
Karl J. Clark United States
Peng Huang China
Matthew C. LaFave United States
Victoria M. Bedell United States
Claudia Gerri United Kingdom
Li-En Jao United States
Jaime A. Rivera‐Pérez United States
Uwe Irion Germany
Gaurav K. Varshney relative to Zacharias Kontarakis Germany Zacharias Kontarakis's profile →
Citations per field
00.5×1.5×2.5×
Zacharias Kontarakis · 1×
Citations per year

Countries citing papers authored by Gaurav K. Varshney

Since Specialization
Citations

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

Fields of papers citing papers by Gaurav K. Varshney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav K. Varshney

This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav K. Varshney. A scholar is included among the top collaborators of Gaurav K. 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 Gaurav K. Varshney. Gaurav K. 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
#WorkIndexed citations
1 12
2 7
3 3
4 16
5 21
6 4
7 17
8 34
9 8
10 12
11 20
12 15
13 144
14 52
15 50
16 95
17 35
18 368
19 63
20 14

About Gaurav K. Varshney

Gaurav K. Varshney is a scholar working on Aging, Sensory Systems and Cell Biology, having authored 54 papers that have together received 2.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (27 papers), Advanced biosensing and bioanalysis techniques (10 papers) and Zebrafish Biomedical Research Applications (8 papers). The work is most often cited by research in Aging (83 citations), Cell Biology (586 citations) and Molecular Biology (1.6k citations). Gaurav K. Varshney has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Shawn M. Burgess, Matthew C. LaFave, Raman Sood, Ruth H. Palmer, Blake Carrington, Johan Ledin, Charles P. Venditti, Randy J. Chandler, Mingyu Li and Sunny C. Huang. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Clinical Investigation.

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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