Minghui Hu

683 total citations
36 papers, 450 citations indexed

About

Minghui Hu is a scholar working on Molecular Biology, Neurology and Cancer Research. According to data from OpenAlex, Minghui Hu has authored 36 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Neurology and 5 papers in Cancer Research. Recurrent topics in Minghui Hu's work include Parkinson's Disease Mechanisms and Treatments (3 papers), Nerve injury and regeneration (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Minghui Hu is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), Nerve injury and regeneration (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Minghui Hu collaborates with scholars based in China, United States and Thailand. Minghui Hu's co-authors include Hua Feng, Ying Lan, Lijuan Zhang, Xuexiao Ma, Zifa Li, Xiwen Geng, Hongying Zheng, Zhong Lin Wang, Guoming Zhang and Xiaoyan Zhou and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Frontiers in Immunology and Gene.

In The Last Decade

Minghui Hu

34 papers receiving 441 citations

Peers

Minghui Hu
Comparison fields: 5 of 91
  • Molecular Biology 141
  • Reproductive Medicine 79
  • Physiology 63
  • Public Health, Environmental and Occupational Health 55
  • Pulmonary and Respiratory Medicine 47
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Uršula Prosenc Zmrzljak Slovenia
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Milica Manojlović‐Stojanoski Serbia View profile →
Citations per field, relative to Minghui Hu
Minghui Hu · 1×
Citations per year, relative to Minghui Hu
Minghui Hu · 1×

Countries citing papers authored by Minghui Hu

Since Specialization
Citations

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

Fields of papers citing papers by Minghui Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghui Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Minghui Hu. A scholar is included among the top collaborators of Minghui Hu 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 Minghui Hu. Minghui Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 1
4 3
5 2
6 2
7 19
8 8
9 4
10 23
11 2
12 7
13 45
14 6
15 1
16 49
17
Coordinated gene expression of Th17- and Treg-associated molecules correlated with resolution of the monophasic experimental autoimmune uveitis.
19
18 25
19 4
20
A study on the halophilous vegetation of the islands of Zhejiang Province (II) Main types of natural vegetation and their exploitation and utilization
0

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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