Vijay Koya

944 total citations
11 papers, 618 citations indexed

About

Vijay Koya is a scholar working on Molecular Biology, Genetics and Biotechnology. According to data from OpenAlex, Vijay Koya has authored 11 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Biotechnology. Recurrent topics in Vijay Koya's work include Transgenic Plants and Applications (5 papers), Pancreatic function and diabetes (4 papers) and Diabetes and associated disorders (3 papers). Vijay Koya is often cited by papers focused on Transgenic Plants and Applications (5 papers), Pancreatic function and diabetes (4 papers) and Diabetes and associated disorders (3 papers). Vijay Koya collaborates with scholars based in United States. Vijay Koya's co-authors include Henry Daniell, Stephen H. Leppla, Mahtab Moayeri, Dheeraj Verma, Mohtashem Samsam, Arati Limaye, Martha K. Grace, Catherine M. Kotz, Shiwu Li and Mark A. Atkinson and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and The FASEB Journal.

In The Last Decade

Vijay Koya

11 papers receiving 581 citations

Peers

Vijay Koya
Comparison fields: 5 of 84
  • Molecular Biology 439
  • Biotechnology 306
  • Genetics 100
  • Surgery 92
  • Plant Science 79
Replace M Yajima with:
M Yajima Japan
Tamotsu Shigehisa Japan
Syouichi Katayama Japan
Huixia Wu United Kingdom
Mar Margalef-Català Spain
Jean‐Charles Gaudin France
Keiichi Ebina Japan
Nehal Patel United States
Bastian Pasche Germany
Suxia Guo China
M Yajima Japan View profile →
Citations per field, relative to Vijay Koya
Vijay Koya · 1×
Citations per year, relative to Vijay Koya
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Countries citing papers authored by Vijay Koya

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Koya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Koya

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 7
2 55
3
Genetically reprogrammed, liver-derived insulin-producing cells are glucose-responsive, but susceptible to autoimmune destruction in settings of murine model of type 1 diabetes.
14
4 10
5 20
6 119
7 38
8 74
9 1
10 156
11 124

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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2026