Arjun Thapa

3.9k citations
116 papers · 3.2k indexed · h-index 35

Impact in

Papers in

Arjun Thapa

107 papers receiving 3.1k citations

Peers

Arjun Thapa
Comparison fields: 5 of 150
  • Ecological Modeling 326
  • Automotive Engineering 321
  • Electronic, Optical and Magnetic Materials 399
  • Electrical and Electronic Engineering 1.2k
  • Molecular Medicine 94
Replace Donald Włodkowic with:
Donald Włodkowic Australia
Qin Huang China
Yong Long China
G. González Mexico
Na Zhao China
Xiaoling Tong China
Jianan Li China
Roberto Marotta Italy
Mikael Larsson Sweden
Qun Li China
Arjun Thapa relative to Donald Włodkowic Australia Donald Włodkowic's profile →
Citations per field
00.5×10×15×20.4×
Donald Włodkowic · 1×
Citations per year

Countries citing papers authored by Arjun Thapa

Since Specialization
Citations

This map shows the geographic impact of Arjun 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 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 Thapa more than expected).

Fields of papers citing papers by Arjun Thapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010172
2 2015141
3 2010128
4 2007104
5 2018102
6 201195
7 202093
8 201187
9 202082
10 202078
11 201773
12 201167
13 201363
14 201260
15 201459
16 201257
17 201456
18 201055
19 201352
20 201951

About Arjun Thapa

Arjun Thapa is a scholar working on Ecological Modeling, Physiology, Electronic, Optical and Magnetic Materials, Automotive Engineering and Molecular Medicine, having authored 116 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advancements in Battery Materials (34 papers), Advanced Battery Materials and Technologies (28 papers), Wildlife Ecology and Conservation (24 papers), Supercapacitor Materials and Fabrication (18 papers), Species Distribution and Climate Change (16 papers), Advanced Battery Technologies Research (12 papers), Alzheimer's disease research and treatments (7 papers) and Retinal Development and Disorders (7 papers). The work is most often cited by research in Ecological Modeling (326 citations), Automotive Engineering (321 citations), Electronic, Optical and Magnetic Materials (399 citations), Electrical and Electronic Engineering (1.2k citations) and Molecular Medicine (94 citations). Arjun Thapa has collaborated with scholars based in United States, China and Nepal. Frequent co-authors include Tatsumi Ishihara, Eva Y., Jacek B. Jasiński, Masaki Yoshio, Mahendra K. Sunkara, Stephen D. Jett, Gamini Sumanasekera, Hiroyoshi Nakamura, Shintaro Ida and Mariusz Z. Ratajczak. Their work appears in journals such as Journal of Power Sources, Ecology and Evolution, Leukemia, Electrochimica Acta and Scientific 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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