Deepti Pradhan

33 total papers · 2.2k total citations
26 papers, 1.7k citations indexed

About

Deepti Pradhan is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Deepti Pradhan has authored 26 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Physiology and 5 papers in Immunology. Recurrent topics in Deepti Pradhan's work include Erythrocyte Function and Pathophysiology (11 papers), Lipid Membrane Structure and Behavior (6 papers) and Phagocytosis and Immune Regulation (3 papers). Deepti Pradhan is often cited by papers focused on Erythrocyte Function and Pathophysiology (11 papers), Lipid Membrane Structure and Behavior (6 papers) and Phagocytosis and Immune Regulation (3 papers). Deepti Pradhan collaborates with scholars based in United States, India and Canada. Deepti Pradhan's co-authors include Jon S. Morrow, Robert Schlegel, Usha Chakraborty, Stephen Krahling, Janet Plescia, Paola Fortugno, Jason Fontana, Pier Carlo Marchisio, Elena Beltrami and William C. Sessa and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Deepti Pradhan

26 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Deepti Pradhan 986 321 298 268 246 26 1.7k
F. Kenneth Nelson 1.2k 1.2× 173 0.5× 286 1.0× 320 1.2× 71 0.3× 22 1.9k
G P Vlasuk 739 0.7× 141 0.4× 289 1.0× 104 0.4× 89 0.4× 36 2.2k
Feng Han 490 0.5× 374 1.2× 451 1.5× 236 0.9× 47 0.2× 46 1.4k
Gareth Howell 841 0.9× 442 1.4× 89 0.3× 187 0.7× 91 0.4× 45 1.8k
Ignacio J. Juncadella 496 0.5× 762 2.4× 198 0.7× 138 0.5× 264 1.1× 24 1.4k
Oscar Franzén 1.1k 1.1× 344 1.1× 474 1.6× 284 1.1× 86 0.3× 40 2.2k
J.C. Pizarro 537 0.5× 495 1.5× 202 0.7× 149 0.6× 50 0.2× 38 1.7k
Ivy Hsieh 618 0.6× 120 0.4× 597 2.0× 115 0.4× 108 0.4× 21 1.9k
M. Ursula Norman 263 0.3× 619 1.9× 229 0.8× 163 0.6× 92 0.4× 30 1.3k
John V. Anzola 691 0.7× 199 0.6× 199 0.7× 301 1.1× 26 0.1× 26 1.5k

Countries citing papers authored by Deepti Pradhan

Since Specialization
Citations

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

Fields of papers citing papers by Deepti Pradhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepti Pradhan

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