Mingjian Ding

467 citations
17 papers · 390 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Cancer-related gene regulation

Papers in

    • Circular RNAs in diseases 3
    • Wnt/β-catenin signaling in development and cancer 2
    • Cancer-related gene regulation 2
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 2

Mingjian Ding

17 papers receiving 379 citations

Peers

Mingjian Ding
Comparison fields: 5 of 64
  • Cancer Research 129
  • Molecular Biology 212
  • Reproductive Medicine 15
  • Oncology 46
  • Toxicology 6
Replace Isabella Giacomini with:
Isabella Giacomini Italy
Shilpi Chattopadhyay India
Xiaomin Liu China
Liying Wu China
Sarala Manandhar South Korea
Farzad Rahmani Iran
Chee Onn Leong Malaysia
Luoqi Jia China
Lingqin Song China
Liansheng Gong China
Mingjian Ding relative to Isabella Giacomini Italy Isabella Giacomini's profile →
Citations per field
00.5×1.5×2.1×
Isabella Giacomini · 1×
Citations per year

Countries citing papers authored by Mingjian Ding

Since Specialization
Citations

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

Fields of papers citing papers by Mingjian Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201149
2 201645
3 201935
4 201634
5 201433
6 201629
7 202027
8 201126
9 201324
10 201817
11 201214
12 202012
13 201612
14 202012
15 202210
16 20176
17 20235

About Mingjian Ding

Mingjian Ding is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Plant Science and Genetics, having authored 17 papers that have together received 390 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer-related gene regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Cancer Research (129 citations), Molecular Biology (212 citations), Reproductive Medicine (15 citations), Oncology (46 citations) and Toxicology (6 citations). Mingjian Ding has collaborated with scholars based in China and Australia. Frequent co-authors include Xiaodong Cong, Yin Dai, De‐Zai Dai, Xiaoju Wang, Wenzhe Wang, Shenglin Ma, You Wu, Liang Chen, Weili Li and Xiaoliang Zheng. Their work appears in journals such as Biomedicine & Pharmacotherapy, Dose-Response, Nucleosides Nucleotides & Nucleic Acids, Journal of Clinical Laboratory Analysis and OncoTargets and Therapy.

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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