Shengquan Mi

50 total papers · 969 total citations
36 papers, 733 citations indexed

About

Shengquan Mi is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Shengquan Mi has authored 36 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Shengquan Mi's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diet and metabolism studies (4 papers) and Nutritional Studies and Diet (4 papers). Shengquan Mi is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diet and metabolism studies (4 papers) and Nutritional Studies and Diet (4 papers). Shengquan Mi collaborates with scholars based in China, United States and Japan. Shengquan Mi's co-authors include Tao Yan, Shigong Wang, Xiaoyun Xie, Wenhua Zhao, Yong Jiang, Li Y, Mei Zhang, Yufang Bi, Guang Ning and Jianhong Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Shengquan Mi

33 papers receiving 721 citations

Author Peers

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

Author						Papers	Cites
Shengquan Mi	241	163	109	105	86	36	733
Tracy L. Nelson	172 0.7×	93 0.6×	68 0.6×	161 1.5×	178 2.1×	40	741
Hossam M. Draz	209 0.9×	73 0.4×	135 1.2×	64 0.6×	125 1.5×	32	811
Stefanie Lanzinger	251 1.0×	343 2.1×	47 0.4×	132 1.3×	88 1.0×	73	836
Li Yan	137 0.6×	83 0.5×	66 0.6×	48 0.5×	99 1.2×	20	682
Regina Rėklaitienė	362 1.5×	54 0.3×	68 0.6×	66 0.6×	34 0.4×	29	691
Ying Wen	310 1.3×	37 0.2×	49 0.4×	66 0.6×	83 1.0×	54	820
Ewa Konduracka	143 0.6×	123 0.8×	72 0.7×	36 0.3×	97 1.1×	67	765
Ning Cheng	323 1.3×	114 0.7×	113 1.0×	56 0.5×	33 0.4×	58	828
KM Venkat Narayan	69 0.3×	343 2.1×	171 1.6×	149 1.4×	71 0.8×	37	801
Zhebin Yu	419 1.7×	49 0.3×	42 0.4×	47 0.4×	41 0.5×	43	748

Countries citing papers authored by Shengquan Mi

Since Specialization

Citations

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

Fields of papers citing papers by Shengquan Mi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengquan Mi

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