Ajay Gupta

75 total papers · 1.9k total citations
45 papers, 1.3k citations indexed

About

Ajay Gupta is a scholar working on Infectious Diseases, Nephrology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ajay Gupta has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 9 papers in Nephrology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ajay Gupta's work include COVID-19 Clinical Research Studies (9 papers), Iron Metabolism and Disorders (9 papers) and Parathyroid Disorders and Treatments (7 papers). Ajay Gupta is often cited by papers focused on COVID-19 Clinical Research Studies (9 papers), Iron Metabolism and Disorders (9 papers) and Parathyroid Disorders and Treatments (7 papers). Ajay Gupta collaborates with scholars based in United States, United Kingdom and India. Ajay Gupta's co-authors include Raymond Pratt, Keith C. Norris, George Divine, Gerard Zasuwa, Lee Kallenbach, Junichiro Takasu, Eli Ipp, Rajnish Mehrotra, Peter Christenson and Matthew J. Budoff and has published in prestigious journals such as International Journal of Molecular Sciences, Kidney International and Journal of the American Society of Nephrology.

In The Last Decade

Ajay Gupta

43 papers receiving 1.3k citations

Hit Papers

Vitamin D Deficiency in I... 2014 2026 2018 2022 2014 100 200 300

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 421 339 265 163 159 45 1.3k
Anna Challa 439 1.0× 174 0.5× 316 1.2× 163 1.0× 139 0.9× 79 1.4k
E. Ishimura 302 0.7× 796 2.3× 231 0.9× 193 1.2× 188 1.2× 39 1.4k
K. Schaefer 375 0.9× 530 1.6× 265 1.0× 114 0.7× 128 0.8× 95 1.3k
Patrizia Pizzini 447 1.1× 725 2.1× 168 0.6× 167 1.0× 172 1.1× 58 1.7k
Ricardo Correa‐Rotter 189 0.4× 828 2.4× 297 1.1× 204 1.3× 100 0.6× 49 1.4k
Naohiko Fujii 324 0.8× 1.1k 3.2× 482 1.8× 304 1.9× 134 0.8× 68 1.7k
G. T. Warner 393 0.9× 130 0.4× 249 0.9× 151 0.9× 97 0.6× 45 1.5k
J.-C. Souberbielle 781 1.9× 472 1.4× 235 0.9× 156 1.0× 135 0.8× 37 1.5k
Emanuel Zitt 231 0.5× 583 1.7× 128 0.5× 143 0.9× 92 0.6× 77 1.2k
Min-Tser Liao 298 0.7× 298 0.9× 142 0.5× 135 0.8× 235 1.5× 60 1.3k

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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