Arjun Kumar Thapa

110 papers receiving 3.4k citations

Peers

Arjun Kumar Thapa
Comparison fields: 5 of 152
  • Ecological Modeling 377
  • Automotive Engineering 326
  • Electronic, Optical and Magnetic Materials 414
  • Electrical and Electronic Engineering 1.2k
  • Molecular Medicine 96
Replace Donald Włodkowic with:
Donald Włodkowic Australia
Peipei Liu China
Qin Huang China
Na Zhao China
Lisa Truong United States
Yong Long China
Mi‐Sun Lee South Korea
Xueping Zhang China
Tian Zhao China
Xiaoling Tong China
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Citations per field
00.5×5×10×15×22.2×
Donald Włodkowic · 1×
Citations per year

Countries citing papers authored by Arjun Kumar Thapa

Since Specialization
Citations

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

Fields of papers citing papers by Arjun Kumar Thapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arjun Kumar Thapa. 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 Arjun Kumar Thapa. The network helps show where Arjun Kumar Thapa may publish in the future.

Co-authors

The 25 scholars most cited alongside Arjun Kumar Thapa, 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 Arjun Kumar Thapa Line = papers co-authored together Arjun Kumar Thapa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010174
2 2015157
3 2010129
4 2018116
5 2020112
6 2007105
7 201198
8 202089
9 201187
10 202086
11 201779
12 201477
13 201167
14 201365
15 201264
16 201459
17 201259
18 201055
19 201955
20 201353

About Arjun Kumar Thapa

Arjun Kumar Thapa is a scholar working on Ecological Modeling, Ecology, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Automotive Engineering, having authored 118 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advancements in Battery Materials (33 papers), Advanced Battery Materials and Technologies (28 papers), Wildlife Ecology and Conservation (25 papers), Species Distribution and Climate Change (18 papers), Supercapacitor Materials and Fabrication (16 papers), Advanced Battery Technologies Research (12 papers), Retinal Development and Disorders (7 papers) and Alzheimer's disease research and treatments (7 papers). The work is most often cited by research in Ecological Modeling (377 citations), Automotive Engineering (326 citations), Electronic, Optical and Magnetic Materials (414 citations), Electrical and Electronic Engineering (1.2k citations) and Molecular Medicine (96 citations). Arjun Kumar Thapa has collaborated with scholars based in United States, China and Nepal. Frequent co-authors include Tatsumi Ishihara, Eva Y. Chi, Jacek Bogdan Jasinski, Masaki Yoshio, Stephen D. Jett, Mahendra Kumar Sunkara, Gamini Sumanasekera, Mariusz Z. Ratajczak, Yibo Hu and Fuwen Wei. Their work appears in journals such as Journal of Power Sources, Leukemia, Ecology and Evolution, Stem Cell Reviews and Reports and Electrochimica Acta.

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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