Ajay Gupta

238 total papers · 6.0k total citations
124 papers, 2.8k citations indexed

About

Ajay Gupta is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ajay Gupta has authored 124 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cardiology and Cardiovascular Medicine, 27 papers in Surgery and 16 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ajay Gupta's work include Blood Pressure and Hypertension Studies (21 papers), Healthcare professionals’ stress and burnout (8 papers) and Hormonal Regulation and Hypertension (8 papers). Ajay Gupta is often cited by papers focused on Blood Pressure and Hypertension Studies (21 papers), Healthcare professionals’ stress and burnout (8 papers) and Hormonal Regulation and Hypertension (8 papers). Ajay Gupta collaborates with scholars based in United Kingdom, India and United States. Ajay Gupta's co-authors include Neil R Poulter, Peter Sever, Andrew Whitehouse, Björn Dahlöf, Choon Lan Chang, Timothy Collier, Jon T. Sakata, Sverre E. Kjeldsen, Christian Gluud and Sripal Bangalore and has published in prestigious journals such as The Lancet, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Ajay Gupta

112 papers receiving 2.7k citations

Author Peers

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

Author Last Decade Papers Cites
Ajay Gupta 1.1k 776 621 326 240 124 2.8k
Wilko Spiering 1.5k 1.4× 518 0.7× 592 1.0× 180 0.6× 437 1.8× 170 3.2k
Emil Hagström 1.4k 1.3× 811 1.0× 457 0.7× 234 0.7× 471 2.0× 119 4.1k
Davide Soranna 697 0.6× 421 0.5× 303 0.5× 218 0.7× 295 1.2× 98 2.3k
Donald J. DiPette 925 0.9× 773 1.0× 779 1.3× 140 0.4× 836 3.5× 152 3.5k
Alan S. Rigby 1.8k 1.6× 576 0.7× 696 1.1× 100 0.3× 290 1.2× 102 4.0k
Graham Macdonald 1.5k 1.4× 499 0.6× 673 1.1× 163 0.5× 230 1.0× 97 3.0k
Nathan R. Hill 743 0.7× 540 0.7× 842 1.4× 169 0.5× 569 2.4× 59 4.2k
Andrew Ignaszewski 1.4k 1.3× 492 0.6× 256 0.4× 83 0.3× 135 0.6× 86 2.7k
Peter E. Penson 505 0.5× 1.1k 1.4× 451 0.7× 288 0.9× 433 1.8× 114 2.8k
Pratik B. Sandesara 1.6k 1.5× 708 0.9× 604 1.0× 185 0.6× 269 1.1× 86 3.5k

Countries citing papers authored by Ajay Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Ajay Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajay Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Ajay Gupta. A scholar is included among the top collaborators of Ajay Gupta 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 Gupta. Ajay Gupta 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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