Pengli Jia

34 total papers · 1.1k total citations
28 papers, 737 citations indexed

About

Pengli Jia is a scholar working on Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health and Complementary and alternative medicine. According to data from OpenAlex, Pengli Jia has authored 28 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics, Probability and Uncertainty, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Complementary and alternative medicine. Recurrent topics in Pengli Jia's work include Meta-analysis and systematic reviews (10 papers), Acupuncture Treatment Research Studies (6 papers) and Patient Safety and Medication Errors (4 papers). Pengli Jia is often cited by papers focused on Meta-analysis and systematic reviews (10 papers), Acupuncture Treatment Research Studies (6 papers) and Patient Safety and Medication Errors (4 papers). Pengli Jia collaborates with scholars based in China, United States and Qatar. Pengli Jia's co-authors include Pujing Zhao, Ling Li, Jiali Liu, Mingming Zhang, Ke Deng, Chang Xu, Xin Sun, Wenwen Chen, Longhao Zhang and Sheyu Li and has published in prestigious journals such as PLoS ONE, Annals of Surgery and Scientific Reports.

In The Last Decade

Pengli Jia

27 papers receiving 723 citations

Author Peers

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

Author						Papers	Cites
Pengli Jia	236	109	104	75	69	28	737
Jari Forsström	54 0.2×	87 0.8×	141 1.4×	106 1.4×	47 0.7×	57	904
Neil S. Fleming	91 0.4×	54 0.5×	39 0.4×	197 2.6×	106 1.5×	26	767
Gerald A. Banet	131 0.6×	29 0.3×	101 1.0×	34 0.5×	133 1.9×	26	794
John Dean	255 1.1×	55 0.5×	112 1.1×	23 0.3×	86 1.2×	35	863
Shun Fu Lee	128 0.5×	35 0.3×	146 1.4×	27 0.4×	125 1.8×	47	841
Edward T. Wong	122 0.5×	67 0.6×	62 0.6×	21 0.3×	45 0.7×	25	691
G.F. Batstone	99 0.4×	105 1.0×	109 1.0×	12 0.2×	201 2.9×	42	848
Robert W. Coleman	22 0.1×	80 0.7×	72 0.7×	132 1.8×	61 0.9×	30	713
Anne O’Connor	225 1.0×	46 0.4×	247 2.4×	34 0.5×	27 0.4×	15	656
Seb Bacon	101 0.4×	83 0.8×	46 0.4×	12 0.2×	59 0.9×	52	807

Countries citing papers authored by Pengli Jia

Since Specialization

Citations

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

Fields of papers citing papers by Pengli Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengli Jia

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