Prabhat Khadka

23 total papers · 581 total citations
16 papers, 442 citations indexed

About

Prabhat Khadka is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Prabhat Khadka has authored 16 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Physiology and 3 papers in Oncology. Recurrent topics in Prabhat Khadka's work include Telomeres, Telomerase, and Senescence (7 papers), DNA Repair Mechanisms (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Prabhat Khadka is often cited by papers focused on Telomeres, Telomerase, and Senescence (7 papers), DNA Repair Mechanisms (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Prabhat Khadka collaborates with scholars based in United States, South Korea and Iraq. Prabhat Khadka's co-authors include In Kwon Chung, Ji Hoon Lee, Jeeyun Chung, Vilhelm A. Bohr, Seung Han Baek, Deborah L. Croteau, Raghavendra A. Shamanna, Anthony J. Davis, Tomasz Kulikowicz and Jane Tian and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Prabhat Khadka

16 papers receiving 441 citations

Author Peers

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

Author Last Decade Papers Cites
Prabhat Khadka 337 158 70 59 33 16 442
Derek J. Hoelz 278 0.8× 60 0.4× 93 1.3× 60 1.0× 16 0.5× 15 387
Bingnan Li 310 0.9× 151 1.0× 32 0.5× 83 1.4× 35 1.1× 19 483
Masahiko Tsunemi 323 1.0× 95 0.6× 71 1.0× 37 0.6× 30 0.9× 18 494
Namrata Kumar 342 1.0× 51 0.3× 50 0.7× 55 0.9× 18 0.5× 12 465
Thomas Jackson 254 0.8× 78 0.5× 76 1.1× 82 1.4× 14 0.4× 23 441
Kathryn Gilroy 321 1.0× 118 0.7× 73 1.0× 42 0.7× 13 0.4× 21 450
Claudia Hinze 176 0.5× 71 0.4× 52 0.7× 18 0.3× 11 0.3× 18 459
Xin Chen 241 0.7× 46 0.3× 78 1.1× 42 0.7× 86 2.6× 22 452
Amit Bhardwaj 343 1.0× 45 0.3× 37 0.5× 26 0.4× 43 1.3× 19 459
Aurélie Diman 227 0.7× 118 0.7× 40 0.6× 38 0.6× 15 0.5× 11 412

Countries citing papers authored by Prabhat Khadka

Since Specialization
Citations

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

Fields of papers citing papers by Prabhat Khadka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabhat Khadka

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