Deepak Bhattarai

738 citations
25 papers · 466 · h-index 13

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Synthesis and biological activity
    • Click Chemistry and Applications
    • Synthesis and Biological Evaluation

Papers in

    • Ubiquitin and proteasome pathways 4
    • Protein Degradation and Inhibitors 3
    • ATP Synthase and ATPases Research 3
    • Synthesis and biological activity 6

Deepak Bhattarai

25 papers receiving 462 citations

Peers

Deepak Bhattarai
Comparison fields: 5 of 76
  • Cancer Research 93
  • Organic Chemistry 129
  • Molecular Biology 272
  • Oncology 95
  • Hematology 22
Replace Wanhua Lin with:
Wanhua Lin China
Najah Albadari United States
Irene Filippi Italy
Shinmee Mah South Korea
Aaron Maurais United States
Mingsong Shi China
Ming Guo China
Bernd Buchmann Germany
Craig Swearingen United States
Aktan Alpsoy United States
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Citations per field
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Citations per year

Countries citing papers authored by Deepak Bhattarai

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Bhattarai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepak Bhattarai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deepak Bhattarai Line = papers co-authored together Deepak Bhattarai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201788
2 201559
3 201938
4 201435
5 201524
6 201624
7 202024
8 201922
9 201922
10 201620
11 202019
12 201513
13 201912
14 202111
15 201211
16 20159
17 20158
18 20148
19 20146
20 20246

About Deepak Bhattarai

Deepak Bhattarai is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Physiology and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 466 indexed citations. Recurring topics across this work include Synthesis and biological activity (6 papers), Alzheimer's disease research and treatments (5 papers), Ubiquitin and proteasome pathways (4 papers), Peptidase Inhibition and Analysis (3 papers), Protein Degradation and Inhibitors (3 papers), Computational Drug Discovery Methods (3 papers), ATP Synthase and ATPases Research (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (93 citations), Organic Chemistry (129 citations), Molecular Biology (272 citations), Oncology (95 citations) and Hematology (22 citations). Deepak Bhattarai has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Kyeong Lee, Xuezhen Xu, Sarbjit Singh, Yongseok Choi, Kyung Bo Kim, Min Jae Lee, Zachary Miller, Sukyeong Lee, Yongseok Choi and Dong‐Eun Kim. Their work appears in journals such as Journal of Medicinal Chemistry, Scientific Reports, European Journal of Medicinal Chemistry, Current Topics in Medicinal Chemistry and BMB Reports.

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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