Ming Jun Gao

1.8k citations
101 papers · 1.4k · h-index 21

Impact in

Papers in

Ming Jun Gao

98 papers receiving 1.4k citations

Peers

Ming Jun Gao
Comparison fields: 5 of 120
  • Developmental Neuroscience 90
  • Psychiatry and Mental health 257
  • Endocrine and Autonomic Systems 81
  • Neurology 86
  • Genetics 89
Replace Choong‐Hyun Lee with:
Choong‐Hyun Lee South Korea
Kwok‐Kuen Cheung Hong Kong
Jami L. Saloman United States
Guanhu Yang China
Jing Ding China
Chuang Du United States
Wooseok Im South Korea
Hong Shen China
Shen Liu China
Joseph P. McGillis United States
Ming Jun Gao relative to Choong‐Hyun Lee South Korea Choong‐Hyun Lee's profile →
Citations per field
00.5×2×4×5.6×
Choong‐Hyun Lee · 1×
Citations per year

Countries citing papers authored by Ming Jun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ming Jun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Jun Gao, 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 Jun Gao Line = papers co-authored together Ming Jun Gao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000133
2 201389
3 201065
4 201962
5 200758
6 201254
7 201152
8 201443
9 201139
10 201838
11 201931
12 201730
13 201429
14 201928
15 202028
16 201928
17 201825
18 200622
19 201922
20
Reduction of COX-2 through modulating miR-124/SPHK1 axis contributes to the antimetastatic effect of alpinumisoflavone in melanoma.
201722

About Ming Jun Gao

Ming Jun Gao is a scholar working on Psychiatry and Mental health, Developmental Neuroscience, Cancer Research, Neurology and Cell Biology, having authored 101 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sexual function and dysfunction studies (25 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Zebrafish Biomedical Research Applications (5 papers), Sexuality, Behavior, and Technology (4 papers), Urinary Bladder and Prostate Research (3 papers), MicroRNA in disease regulation (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Developmental Neuroscience (90 citations), Psychiatry and Mental health (257 citations), Endocrine and Autonomic Systems (81 citations), Neurology (86 citations) and Genetics (89 citations). Ming Jun Gao has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Matthew Barron, John Lough, Peng Liu, Jianlin Yuan, Aijun Hao, Aijun Hao, Linli Yao, Wei Qin, Yanmin Zhang and Eng‐Ang Ling. Their work appears in journals such as Journal of Magnetic Resonance Imaging, The Journal of Sexual Medicine, Andrology, Journal of Pineal Research and Scientific Reports.

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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