Jia Yuping

20 total papers · 424 total citations
10 papers, 374 citations indexed

About

Jia Yuping is a scholar working on Health, Toxicology and Mutagenesis, General Health Professions and Geophysics. According to data from OpenAlex, Jia Yuping has authored 10 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health, Toxicology and Mutagenesis, 3 papers in General Health Professions and 2 papers in Geophysics. Recurrent topics in Jia Yuping's work include Air Quality and Health Impacts (6 papers), Climate Change and Health Impacts (5 papers) and Global Health Care Issues (3 papers). Jia Yuping is often cited by papers focused on Air Quality and Health Impacts (6 papers), Climate Change and Health Impacts (5 papers) and Global Health Care Issues (3 papers). Jia Yuping collaborates with scholars based in China, Australia and Taiwan. Jia Yuping's co-authors include Xiaochuan Pan, Yuming Guo, Liqun Liu, H-Erich Wichmann, Yanshen Zhang, Shilu Tong, Adrian Barnett, R. Kerrich, Richard J. Goldfarb and T. I. Gombosi and has published in prestigious journals such as The Science of The Total Environment, Earth and Planetary Science Letters and Icarus.

In The Last Decade

Jia Yuping

9 papers receiving 362 citations

Author Peers

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

Author Last Decade Papers Cites
Jia Yuping 283 90 72 56 47 10 374
Bernadette M. Longo 167 0.6× 34 0.4× 22 0.3× 17 0.3× 23 0.5× 15 351
Olivia Lesne 154 0.5× 90 1.0× 16 0.2× 16 0.3× 175 3.7× 11 428
M. Trail 235 0.8× 122 1.4× 16 0.2× 20 0.4× 7 0.1× 13 413
Sereeter Lodoysamba 283 1.0× 83 0.9× 32 0.4× 97 1.7× 11 408
M. Cabello 220 0.8× 125 1.4× 3 0.0× 23 0.4× 11 0.2× 14 432
Qianqian Xiang 345 1.2× 104 1.2× 81 1.1× 39 0.7× 2 0.0× 13 377
Hassan Dehdari Rad 331 1.2× 121 1.3× 14 0.2× 58 1.0× 3 0.1× 10 417
Noelle S. Liao 284 1.0× 93 1.0× 32 0.4× 51 0.9× 8 345
Craig A. Rolling 255 0.9× 84 0.9× 31 0.4× 45 0.8× 9 344
Jin Guo 355 1.3× 157 1.7× 49 0.7× 44 0.8× 13 445

Countries citing papers authored by Jia Yuping

Since Specialization
Citations

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

Fields of papers citing papers by Jia Yuping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Yuping

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