Bipin Kumar Acharya

1.0k total citations
37 papers, 790 citations indexed

About

Bipin Kumar Acharya is a scholar working on Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health and Global and Planetary Change. According to data from OpenAlex, Bipin Kumar Acharya has authored 37 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Health, Toxicology and Mutagenesis, 9 papers in Public Health, Environmental and Occupational Health and 9 papers in Global and Planetary Change. Recurrent topics in Bipin Kumar Acharya's work include Air Quality and Health Impacts (12 papers), Mosquito-borne diseases and control (7 papers) and COVID-19 epidemiological studies (6 papers). Bipin Kumar Acharya is often cited by papers focused on Air Quality and Health Impacts (12 papers), Mosquito-borne diseases and control (7 papers) and COVID-19 epidemiological studies (6 papers). Bipin Kumar Acharya collaborates with scholars based in China, Nepal and United States. Bipin Kumar Acharya's co-authors include Chunxiang Cao, Shahid Naeem, Zengliang Ruan, Yin Yang, Zhengmin Qian, Wei Chen, Yili Zhang, Raju Rai, Basanta Paudel and Hualiang Lin and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Bipin Kumar Acharya

36 papers receiving 780 citations

Peers

Bipin Kumar Acharya
Jane Mukarugwiza Olwoch South Africa
T. Andrew Joyner United States
Eun‐Hye Yoo United States
Yi Hu China
Beatriz Fátima Alves de Oliveira Brazil
Zheng Cao China
Mercy J. Borbor‐Cordova Ecuador
Tonny J. Oyana United States
J. Trtanj United States
Jane Mukarugwiza Olwoch South Africa
Bipin Kumar Acharya
Citations per year, relative to Bipin Kumar Acharya Bipin Kumar Acharya (= 1×) peers Jane Mukarugwiza Olwoch

Countries citing papers authored by Bipin Kumar Acharya

Since Specialization
Citations

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

Fields of papers citing papers by Bipin Kumar Acharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bipin Kumar Acharya

This figure shows the co-authorship network connecting the top 25 collaborators of Bipin Kumar Acharya. A scholar is included among the top collaborators of Bipin Kumar Acharya 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 Bipin Kumar Acharya. Bipin Kumar Acharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Acharya, Bipin Kumar, Laxman Khanal, & Meghnath Dhimal. (2025). Increased thermal suitability elevates the risk of dengue transmission across the mid hills of Nepal. PLoS ONE. 20(4). e0322031–e0322031. 1 indexed citations
2.
Shah, Yogendra, Bipin Kumar Acharya, Mandira Lamichhane Dhimal, et al.. (2025). Potential Risk of Local Transmission of Mpox in Nepal: An Emerging Public Health Concern. Health Science Reports. 8(9). e71168–e71168. 1 indexed citations
3.
Acharya, Bipin Kumar, et al.. (2024). Lung cancer risk and its potential association with PM2.5 in Bagmati province, Nepal—A spatiotemporal study from 2012 to 2021. Frontiers in Public Health. 12. 1490973–1490973. 1 indexed citations
4.
Acharya, Bipin Kumar, et al.. (2024). A systematic review of spatial and temporal epidemiological approaches, focus on lung cancer risk associated with particulate matter. BMC Public Health. 24(1). 2945–2945. 3 indexed citations
5.
Wu, Qian, et al.. (2022). Psychological Status of Nepalese Young Adults During The End of First Wave of COVID-19 Pandemic. Journal of Nepal Health Research Council. 20(1). 166–172.
6.
Acharya, Bipin Kumar, Shiyu Zhang, Michael G. Vaughn, et al.. (2022). Empirical dynamic modeling of the association between ambient PM2.5 and under-five mortality across 2851 counties in Mainland China, 1999–2012. Ecotoxicology and Environmental Safety. 237. 113513–113513. 4 indexed citations
7.
Rai, Raju, Yili Zhang, Linshan Liu, et al.. (2022). Predicting the Impact of Climate Change on Vulnerable Species in Gandaki River Basin, Central Himalayas. Journal of Resources and Ecology. 13(2). 2 indexed citations
8.
Sharma, Hari Prasad, Bhagawat Rimal, Mingxia Zhang, et al.. (2020). Potential Distribution of the Critically Endangered Chinese Pangolin (Manis pentadactyla) in Different Land Covers of Nepal: Implications for Conservation. Sustainability. 12(3). 1282–1282. 31 indexed citations
9.
Qi, Jinlei, Zengliang Ruan, Zhengmin Qian, et al.. (2020). Potential gains in life expectancy by attaining daily ambient fine particulate matter pollution standards in mainland China: A modeling study based on nationwide data. PLoS Medicine. 17(1). e1003027–e1003027. 105 indexed citations
10.
Yang, Yin, Qingmei Lin, Yin Liang, et al.. (2020). Maternal air pollution exposure associated with risk of congenital heart defect in pre-pregnancy overweighted women. The Science of The Total Environment. 712. 136470–136470. 34 indexed citations
11.
Yang, Yin, Qingmei Lin, Ying Liang, et al.. (2020). The mediation effect of maternal glucose on the association between ambient air pollution and birth weight in Foshan, China. Environmental Pollution. 266(Pt 1). 115128–115128. 13 indexed citations
12.
Ruan, Zengliang, Zhengmin Qian, Yanjun Xu, et al.. (2020). How longer can people live by achieving the daily ambient fine particulate pollution standards in the Pearl River Delta region, China?. Chemosphere. 254. 126853–126853. 6 indexed citations
13.
Ruan, Zengliang, Zhengmin Qian, Yanjun Xu, et al.. (2019). Applying the concept of “number needed to treat” to the formulation of daily ambient air quality standards. Chemosphere. 222. 665–670. 6 indexed citations
14.
Ruan, Zengliang, Zhengmin Qian, Yanfei Guo, et al.. (2019). Ambient fine particulate matter and ozone higher than certain thresholds associated with myopia in the elderly aged 50 years and above. Environmental Research. 177. 108581–108581. 42 indexed citations
15.
Ai, Siqi, Changke Wang, Zhengmin Qian, et al.. (2019). Hourly associations between ambient air pollution and emergency ambulance calls in one central Chinese city: Implications for hourly air quality standards. The Science of The Total Environment. 696. 133956–133956. 38 indexed citations
16.
17.
Naeem, Shahid, et al.. (2018). Studying the Association between Green Space Characteristics and Land Surface Temperature for Sustainable Urban Environments: An Analysis of Beijing and Islamabad. ISPRS International Journal of Geo-Information. 7(2). 38–38. 70 indexed citations
18.
19.
Acharya, Bipin Kumar, et al.. (2018). Modeling the spatially varying risk factors of dengue fever in Jhapa district, Nepal, using the semi-parametric geographically weighted regression model. International Journal of Biometeorology. 62(11). 1973–1986. 28 indexed citations
20.
Acharya, Bipin Kumar, Chunxiang Cao, Tobia Lakes, Wei Chen, & Shahid Naeem. (2016). Spatiotemporal analysis of dengue fever in Nepal from 2010 to 2014. BMC Public Health. 16(1). 849–849. 43 indexed citations

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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