Ming Jian

19 papers receiving 451 citations

Peers

Ming Jian
Comparison fields: 5 of 95
  • Molecular Biology 177
  • Cellular and Molecular Neuroscience 134
  • Endocrinology, Diabetes and Metabolism 95
  • Cognitive Neuroscience 51
  • Genetics 44
Replace Jinyou Liu with:
Jinyou Liu China
Xia Meng China
Yu-Ping Peng China
C Heym Germany
Albert Sanfeliu Ireland
Filipe Nascimento United Kingdom
Yen Kaow Ng Singapore
Rei Sato Japan
Ming Jian relative to Jinyou Liu China Jinyou Liu's profile →
Citations per field
00.5×3.6×
Jinyou Liu · 1×
Citations per year

Countries citing papers authored by Ming Jian

Since Specialization
Citations

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

Fields of papers citing papers by Ming Jian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Jian

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Jian. A scholar is included among the top collaborators of Ming Jian 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 Ming Jian. Ming Jian 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
#WorkIndexed citations
1 11
2 46
3
Analysis of Phenolic Compounds in Morchella angusticeps Peck by Ultra Performance Liquid Chromatography-Diode Array Detector/Electrospray Ionization-Time of Fight-Mass Spectrometry
2
4 10
5
Antioxidant and Antiproliferative Activity in Human Cancer Cells of Polyphenols Extracted from Morchella angusticepes Peck Based on in Vitro Simulated Digestion
1
6
Physico-chemical Properties and Structure of Modified Dietary Fiber from Grape Pomace
1
7
Effect of Polysaccharide PGEB-3-H from Gastrodia elata Blume on Short Chain Fatty Acids in the Intestinal Tract of Rats
2
8
Application of glycerol monostearate in flour products
1
9 25
10 80
11 2
12 32
13 13
14 56
15 19
16 8
17 121
18 1
19 0
20 30

About Ming Jian

Ming Jian is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 461 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (3 papers), Hormonal Regulation and Hypertension (3 papers) and Fungal Biology and Applications (2 papers). The work is most often cited by research in Behavioral Neuroscience (35 citations), Cellular and Molecular Neuroscience (134 citations) and Developmental Neuroscience (24 citations). Ming Jian has collaborated with scholars based in United States, Canada and China. Frequent co-authors include George S. Robertson, Alan J. Conley, C. Richard Parker, Bogdan Zurakowski, John P. MacManus, Michael Conner, Teena Walker, C. J. Koch, Mohan Tanniru and Min Hu. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Neuroscience and Journal of Cerebral Blood Flow & Metabolism.

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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