Pradip Chaudhari

35 total papers · 562 total citations
21 papers, 357 citations indexed

About

Pradip Chaudhari is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Pradip Chaudhari has authored 21 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Pradip Chaudhari's work include Radiopharmaceutical Chemistry and Applications (10 papers), Medical Imaging and Pathology Studies (6 papers) and Medical Imaging Techniques and Applications (5 papers). Pradip Chaudhari is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (10 papers), Medical Imaging and Pathology Studies (6 papers) and Medical Imaging Techniques and Applications (5 papers). Pradip Chaudhari collaborates with scholars based in India, Hungary and Austria. Pradip Chaudhari's co-authors include M.R.A. Pillai, Meera Venkatesh, Haladhar Dev Sarma, Sharmila Banerjee, Sudipta Chakraborty, Tapas Das, N. Ramamoorthy, András Polyák, Győző A. Jánoki and Domokos Máthé and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Cell Death and Differentiation and Journal of Ethnopharmacology.

In The Last Decade

Pradip Chaudhari

20 papers receiving 346 citations

Author Peers

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

Author						Papers	Cites
Pradip Chaudhari	161	127	117	79	47	21	357
Jia-Bin Liao	65 0.4×	73 0.6×	55 0.5×	73 0.9×	15 0.3×	29	381
Paola Faraoni	73 0.5×	73 0.6×	215 1.8×	52 0.7×	43 0.9×	27	401
Gonçalo S. Clemente	123 0.8×	64 0.5×	77 0.7×	34 0.4×	16 0.3×	17	347
Kübra Durkan	123 0.8×	66 0.5×	72 0.6×	80 1.0×	71 1.5×	23	349
J. M. Sansom	129 0.8×	55 0.4×	108 0.9×	74 0.9×	18 0.4×	23	339
R. G. Sephton	216 1.3×	68 0.5×	88 0.8×	106 1.3×	15 0.3×	26	374
Győző A. Jánoki	149 0.9×	74 0.6×	44 0.4×	80 1.0×	52 1.1×	18	345
Jana Kim	71 0.4×	62 0.5×	126 1.1×	47 0.6×	15 0.3×	25	311
Stacey E. Rudd	278 1.7×	157 1.2×	125 1.1×	88 1.1×	18 0.4×	20	403
Qingshou Chen	76 0.5×	60 0.5×	88 0.8×	46 0.6×	29 0.6×	15	377

Countries citing papers authored by Pradip Chaudhari

Since Specialization

Citations

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

Fields of papers citing papers by Pradip Chaudhari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradip Chaudhari

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