Dipendra Khadka

53 total papers · 710 total citations
29 papers, 522 citations indexed

About

Dipendra Khadka is a scholar working on Epidemiology, Physiology and Geriatrics and Gerontology. According to data from OpenAlex, Dipendra Khadka has authored 29 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Physiology and 4 papers in Geriatrics and Gerontology. Recurrent topics in Dipendra Khadka's work include Liver Disease Diagnosis and Treatment (6 papers), Calcium signaling and nucleotide metabolism (5 papers) and Sirtuins and Resveratrol in Medicine (4 papers). Dipendra Khadka is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Calcium signaling and nucleotide metabolism (5 papers) and Sirtuins and Resveratrol in Medicine (4 papers). Dipendra Khadka collaborates with scholars based in Nepal, South Korea and United States. Dipendra Khadka's co-authors include Hong‐Seob So, Gi‐Su Oh, AiHua Shen, Arpana Pandit, Hyungjin Kim, Tae Hwan Kwak, Seungjin Kim, Jae Ho Seo, Naval Kishor Yadav and Su‐Bin Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Dipendra Khadka

26 papers receiving 517 citations

Author Peers

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

Author Last Decade Papers Cites
Dipendra Khadka 157 127 86 76 72 29 522
Ali A. Abo‐Saif 113 0.7× 167 1.3× 71 0.8× 56 0.7× 59 0.8× 37 590
Mingyue Wu 90 0.6× 154 1.2× 55 0.6× 83 1.1× 53 0.7× 25 564
Xiangyun Zhu 90 0.6× 132 1.0× 95 1.1× 183 2.4× 80 1.1× 27 576
Fadhil G. Al-Amran 98 0.6× 131 1.0× 98 1.1× 51 0.7× 63 0.9× 34 548
Ali Gürel 72 0.5× 153 1.2× 80 0.9× 42 0.6× 121 1.7× 35 553
Yuan Zhang 70 0.4× 164 1.3× 56 0.7× 46 0.6× 49 0.7× 37 485
Sahar E. El-Swefy 60 0.4× 83 0.7× 35 0.4× 71 0.9× 56 0.8× 26 518
Dos Santos 135 0.9× 138 1.1× 40 0.5× 82 1.1× 94 1.3× 47 615
Xiuying Chen 63 0.4× 175 1.4× 82 1.0× 13 0.2× 113 1.6× 28 506
Xuan Qi 55 0.4× 151 1.2× 49 0.6× 60 0.8× 108 1.5× 39 522

Countries citing papers authored by Dipendra Khadka

Since Specialization
Citations

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

Fields of papers citing papers by Dipendra Khadka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipendra Khadka

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