Pooja Pradhan

41 total papers · 893 total citations
21 papers, 608 citations indexed

About

Pooja Pradhan is a scholar working on Molecular Biology, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pooja Pradhan has authored 21 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pooja Pradhan's work include Heme Oxygenase-1 and Carbon Monoxide (4 papers), Epigenetics and DNA Methylation (3 papers) and Economic and Financial Impacts of Cancer (2 papers). Pooja Pradhan is often cited by papers focused on Heme Oxygenase-1 and Carbon Monoxide (4 papers), Epigenetics and DNA Methylation (3 papers) and Economic and Financial Impacts of Cancer (2 papers). Pooja Pradhan collaborates with scholars based in United States, Germany and India. Pooja Pradhan's co-authors include Stephan Immenschuh, Vijith Vijayan, Faikah Gueler, Roberto Motterlini, Roberta Foresti, Heiko Fuchs, Laura Braud, Rie von Eyben, Marjan Rafat and Peter G. Maxim and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and International Journal of Molecular Sciences.

In The Last Decade

Pooja Pradhan

18 papers receiving 599 citations

Author Peers

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

Author Last Decade Papers Cites
Pooja Pradhan 211 159 134 133 119 21 608
Juergen Hesser 126 0.6× 102 0.6× 91 0.7× 147 1.1× 38 0.3× 27 609
Ping Xia 174 0.8× 230 1.4× 135 1.0× 170 1.3× 73 0.6× 28 668
Jan Palm 256 1.2× 128 0.8× 106 0.8× 330 2.5× 38 0.3× 23 533
Rong Ye 254 1.2× 147 0.9× 56 0.4× 93 0.7× 28 0.2× 23 541
A. S. Michalowski 168 0.8× 80 0.5× 118 0.9× 326 2.5× 34 0.3× 19 534
R. N. Arnot 129 0.6× 32 0.2× 55 0.4× 120 0.9× 49 0.4× 25 561
Clemens Friedrich Hess 146 0.7× 111 0.7× 111 0.8× 152 1.1× 51 0.4× 29 616
Peter A. Mahler 258 1.2× 96 0.6× 132 1.0× 264 2.0× 13 0.1× 29 681
Vanesa Bol 86 0.4× 29 0.2× 186 1.4× 73 0.5× 56 0.5× 26 661
Mingyuan He 152 0.7× 26 0.2× 235 1.8× 214 1.6× 47 0.4× 38 581

Countries citing papers authored by Pooja Pradhan

Since Specialization
Citations

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

Fields of papers citing papers by Pooja Pradhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pooja Pradhan

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