Pradeep Bhartiya

29 total papers · 523 total citations
19 papers, 408 citations indexed

About

Pradeep Bhartiya is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Pradeep Bhartiya has authored 19 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biomedical Engineering. Recurrent topics in Pradeep Bhartiya's work include Plasma Applications and Diagnostics (5 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and COVID-19 Clinical Research Studies (2 papers). Pradeep Bhartiya is often cited by papers focused on Plasma Applications and Diagnostics (5 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and COVID-19 Clinical Research Studies (2 papers). Pradeep Bhartiya collaborates with scholars based in South Korea, Vietnam and United States. Pradeep Bhartiya's co-authors include Eun Ha Choi, Nagendra Kumar Kaushik, Linh Nhat Nguyen, Neha Kaushik, Pradeep Lamichhane, Sohail Mumtaz, Neha Kaushik, Sarmistha Mitra, Eun Jung Baek and Jun Sup Lim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Pradeep Bhartiya

19 papers receiving 404 citations

Author Peers

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

Author Last Decade Papers Cites
Pradeep Bhartiya 169 104 76 68 57 19 408
Priyanka Shaw 184 1.1× 96 0.9× 71 0.9× 35 0.5× 120 2.1× 14 489
S Kupsch 242 1.4× 170 1.6× 34 0.4× 35 0.5× 93 1.6× 9 425
Chelsea M. Edelblute 190 1.1× 140 1.3× 91 1.2× 25 0.4× 68 1.2× 24 395
Yanjie Yang 242 1.4× 129 1.2× 35 0.5× 38 0.6× 107 1.9× 14 419
Yan-Pei Zhang 62 0.4× 79 0.8× 29 0.4× 62 0.9× 73 1.3× 35 469
Vítězslav Kříha 227 1.3× 161 1.5× 36 0.5× 54 0.8× 44 0.8× 24 406
Peiyu Han 39 0.2× 93 0.9× 36 0.5× 37 0.5× 141 2.5× 22 405
Silvia Angeloni 86 0.5× 36 0.3× 85 1.1× 61 0.9× 240 4.2× 14 479
Gergő Gyulai 34 0.2× 25 0.2× 75 1.0× 96 1.4× 136 2.4× 32 485
Qichao Zhou 59 0.3× 91 0.9× 32 0.4× 25 0.4× 63 1.1× 23 369

Countries citing papers authored by Pradeep Bhartiya

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Bhartiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Bhartiya

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