Min Sheng

46 total papers · 599 total citations
28 papers, 403 citations indexed

About

Min Sheng is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Min Sheng has authored 28 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Pediatrics, Perinatology and Child Health and 6 papers in Cognitive Neuroscience. Recurrent topics in Min Sheng's work include Functional Brain Connectivity Studies (6 papers), Neonatal and fetal brain pathology (5 papers) and Advanced MRI Techniques and Applications (4 papers). Min Sheng is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Neonatal and fetal brain pathology (5 papers) and Advanced MRI Techniques and Applications (4 papers). Min Sheng collaborates with scholars based in United States, China and Canada. Min Sheng's co-authors include Hanzhang Lu, Binu P. Thomas, Kyle Womack, Peiying Liu, Rong Zhang, Takashi Tarumi, C. Munro Cullum, B. Tseng, Shin‐Lei Peng and Michael D. Devous and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Min Sheng

24 papers receiving 395 citations

Author Peers

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

Author						Papers	Cites
Min Sheng	107	93	68	59	57	28	403
Joseph Mettenburg	86 0.8×	65 0.7×	56 0.8×	53 0.9×	71 1.2×	33	405
Yves Starreveld	59 0.6×	91 1.0×	33 0.5×	50 0.8×	33 0.6×	33	367
Paolo Vezzulli	102 1.0×	59 0.6×	36 0.5×	106 1.8×	88 1.5×	23	433
Jane Cryan	58 0.5×	95 1.0×	35 0.5×	23 0.4×	93 1.6×	29	421
Katsuyuki Obara	85 0.8×	39 0.4×	46 0.7×	57 1.0×	112 2.0×	28	396
Alexander Seiler	193 1.8×	70 0.8×	99 1.5×	24 0.4×	32 0.6×	34	436
Yangyang Wang	66 0.6×	93 1.0×	94 1.4×	23 0.4×	66 1.2×	40	404
Elena Prodi	74 0.7×	72 0.8×	33 0.5×	42 0.7×	13 0.2×	22	368
Syed M. Adil	48 0.4×	74 0.8×	49 0.7×	28 0.5×	32 0.6×	34	412
Elisa Fallica	40 0.4×	34 0.4×	24 0.4×	47 0.8×	81 1.4×	15	414

Countries citing papers authored by Min Sheng

Since Specialization

Citations

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

Fields of papers citing papers by Min Sheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Sheng

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