Mingjun He

602 citations
17 papers · 451 · h-index 11

Impact in

Papers in

    • RNA Research and Splicing 5
    • RNA modifications and cancer 3
    • Circular RNAs in diseases 3
    • Cancer-related molecular mechanisms research 8
    • MicroRNA in disease regulation 4

Mingjun He

17 papers receiving 442 citations

Peers

Mingjun He
Comparison fields: 5 of 73
  • Cancer Research 300
  • Biological Psychiatry 33
  • Molecular Biology 365
  • Behavioral Neuroscience 16
  • Developmental Neuroscience 9
Replace Lingming Kong with:
Lingming Kong China
Lei Qu China
Amaya Urdánoz‐Casado Spain
Michael P. Geaghan Australia
Xuelian Cui China
Archana Shankar United States
Hongqi Xiao China
Mahesh Mundalil Vasu Japan
Jennifer Y. Tan Switzerland
Mingjun He relative to Lingming Kong China Lingming Kong's profile →
Citations per field
00.5×
Lingming Kong · 1×
Citations per year

Countries citing papers authored by Mingjun He

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2016116
2 201666
3 201642
4 201732
5 201431
6 201629
7 201929
8 201621
9 201919
10 201718
11 201711
12 201710
13 20159
14 20226
15 20155
16 20254
17 20203

About Mingjun He

Mingjun He is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine, having authored 17 papers that have together received 451 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), RNA Research and Splicing (5 papers), MicroRNA in disease regulation (4 papers), RNA modifications and cancer (3 papers), Circular RNAs in diseases (3 papers), Heart Rate Variability and Autonomic Control (2 papers), Traditional Chinese Medicine Studies (2 papers) and Quality Function Deployment in Product Design (1 paper). The work is most often cited by research in Cancer Research (300 citations), Biological Psychiatry (33 citations), Molecular Biology (365 citations), Behavioral Neuroscience (16 citations) and Developmental Neuroscience (9 citations). Mingjun He has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shengdong Chen, Wei Niu, Li-Yi Zhang, Lingming Kong, Aifang Zhong, Wanshuai Li, Jim Lu, Xuelian Cui, Xinyang Sun and Zaohuo Cheng. Their work appears in journals such as Biomarkers in Medicine, Journal of Translational Medicine, BMC Nursing, Brain and Behavior and Comprehensive Psychiatry.

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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