Ming Zhang

5.8k citations
129 papers · 4.6k indexed · 1 hit paper · h-index 39

Ming Zhang

125 papers receiving 4.5k citations

Hit Papers

The Characterization of High‐Fat Diet and Multiple Low‐Do...5412008202620142020100200300400500

Peers

Ming Zhang
Comparison fields: 5 of 157
  • Pharmacology 930
  • Pharmacology 399
  • Biological Psychiatry 113
  • Neurology 251
  • Endocrinology, Diabetes and Metabolism 500
Replace Feng Zhang with:
Feng Zhang China
Dong Liu China
Rui Zhang China
Hyun‐Woo Kim South Korea
Hee‐Sook Jun South Korea
Colin J. Green United Kingdom
Giuseppe M. Campo Italy
Shen Qu China
László Virág Hungary
Xuejun Sun China
Ming Zhang relative to Feng Zhang China Feng Zhang's profile →
Citations per field
00.5×3.1×
Feng Zhang · 1×
Citations per year

Countries citing papers authored by Ming Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ming Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming Zhang Line = papers co-authored together Ming Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20248
3 20235
4 20235
5 202353
6 20228
7 202125
8 202026
9 20201
10 201954
11 201833
12 201819
13 2017104
14 201713
15 201552
16
Effects of manganese on serum biochemical indexes, tissue Manganese deposition, antioxidant ability and tibia development of Wulong geese aged from 5 to 16 weeks.
20141
17 200861
18
Data Mining Technology and Its Application to Data Mining in Bioinformatics
20040
19
Determination of hupzine A in Huperzia serrata by HPLC
20023
20 19985

About Ming Zhang

Ming Zhang is a scholar working on Pharmacology, Developmental Neuroscience and Biological Psychiatry, having authored 129 papers that have together received 4.6k indexed citations. Recurring topics across this work include Berberine and alkaloids research (26 papers), Metal Alloys Wear and Properties (9 papers), Microstructure and Mechanical Properties of Steels (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Ginseng Biological Effects and Applications (6 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Pharmacology (930 citations), Pharmacology (399 citations) and Biological Psychiatry (113 citations). Ming Zhang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Li Chen, Li Chen, Xiaoyan Lv, Zhigang Xu, Jing Li, Grant M. Hatch, Yang Yu, Shengnan Wei, Yao Fan and Wenguang Chang.

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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