Min Jia

59 total papers · 843 total citations
41 papers, 571 citations indexed

About

Min Jia is a scholar working on Critical Care and Intensive Care Medicine, Developmental Neuroscience and Surgery. According to data from OpenAlex, Min Jia has authored 41 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Critical Care and Intensive Care Medicine, 12 papers in Developmental Neuroscience and 9 papers in Surgery. Recurrent topics in Min Jia's work include Intensive Care Unit Cognitive Disorders (13 papers), Anesthesia and Neurotoxicity Research (12 papers) and Anesthesia and Pain Management (6 papers). Min Jia is often cited by papers focused on Intensive Care Unit Cognitive Disorders (13 papers), Anesthesia and Neurotoxicity Research (12 papers) and Anesthesia and Pain Management (6 papers). Min Jia collaborates with scholars based in China, United States and United Kingdom. Min Jia's co-authors include Zhiyi Zuo, Zhongmeng Lai, Yang Zhang, Jun Li, Weiran Shan, Xianzhang Zeng, Shibiao Chen, Linda M. Bowers, Lura C. Williamson and Elaine A. Neale and has published in prestigious journals such as The Journal of Cell Biology, Molecular Psychiatry and Psychopharmacology.

In The Last Decade

Min Jia

35 papers receiving 563 citations

Author Peers

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

Author						Papers	Cites
Min Jia	219	175	123	95	93	41	571
He‐fan He	157 0.7×	166 0.9×	139 1.1×	76 0.8×	114 1.2×	46	675
Yangzi Zhu	210 1.0×	211 1.2×	78 0.6×	72 0.8×	80 0.9×	27	554
H. Mayumi Homi	134 0.6×	216 1.2×	98 0.8×	87 0.9×	150 1.6×	26	607
Kristine Kellermann	127 0.6×	209 1.2×	57 0.5×	66 0.7×	97 1.0×	28	585
Xiuying Wu	180 0.8×	227 1.3×	124 1.0×	47 0.5×	136 1.5×	33	595
Deshui Yu	135 0.6×	188 1.1×	199 1.6×	51 0.5×	63 0.7×	41	697
Jin-Chun Shen	134 0.6×	80 0.5×	83 0.7×	61 0.6×	88 0.9×	32	553
Yanna Si	164 0.7×	115 0.7×	164 1.3×	79 0.8×	59 0.6×	35	643
Xin Zhao	153 0.7×	159 0.9×	115 0.9×	69 0.7×	204 2.2×	46	648
Ming Tian	241 1.1×	254 1.5×	92 0.7×	58 0.6×	48 0.5×	33	537

Countries citing papers authored by Min Jia

Since Specialization

Citations

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

Fields of papers citing papers by Min Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Jia

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