Ajay Bhat

400 citations
22 papers · 262 indexed · h-index 9
Topics
Genetics, Aging, and Longevity in Model Organisms (5 papers)Endoplasmic Reticulum Stress and Disease (4 papers)Tryptophan and brain disorders (3 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaScientific Reports
Partner nations
IndiaUnited States

In The Last Decade

Ajay Bhat

22 papers receiving 258 citations

Peers

Ajay Bhat
Comparison fields: 5 of 85
  • Molecular Biology 130
  • Epidemiology 46
  • Cell Biology 40
  • Infectious Diseases 27
  • Physiology 25
Replace Nobuyoshi Hirose with:
Nobuyoshi Hirose Japan
Dinorah Leyva‐Illades United States
Jack Feltham United Kingdom
Andrea M. Amitrano United States
Alexey Danilkovich United States
Gaby El Alam Switzerland
Marc Kästle Germany
Adam Friedman United States
Amy Ziemba United States
Susan D. Cline United States
Ajay Bhat relative to Nobuyoshi Hirose Japan Nobuyoshi Hirose's profile →
Citations per field
00.5×10×15×20×23×
Nobuyoshi Hirose · 1×
Citations per year

Countries citing papers authored by Ajay Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Ajay Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajay Bhat

This figure shows the co-authorship network connecting the top 25 collaborators of Ajay Bhat. A scholar is included among the top collaborators of Ajay Bhat 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 Ajay Bhat. Ajay Bhat 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 1
2 4
3 2
4 2
5 2
6 2
7 17
8 13
9 3
10 2
11 34
12
EVALUATION OF SWATH-MS BASED QUANTIFICATION FOR ITS ACCURACY AND CONSISTENCY ACROSS CONCENTRATIONS OF SPIKED-IN PEPTIDES
1
13 56
14 32
15 40
16 7
17 3
18 1
19 5
20 11

About Ajay Bhat

Ajay Bhat is a scholar working on Aging, Biological Psychiatry and Cell Biology, having authored 22 papers that have together received 262 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Aging (16 citations), Biological Psychiatry (7 citations) and Cell Biology (40 citations). Ajay Bhat has collaborated with scholars based in India and United States. Frequent co-authors include Shantanu Sengupta, T. N. Pattabiraman, Kausik Chakraborty, Trayambak Basak, Shuvadeep Maity, Dipankar Malakar, Ganesh Agam, Manoj M. Pillai, Soumya Sinha Roy and Arnab Mukhopadhyay. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

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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