Mingjian Ding

461 citations
17 papers · 379 · h-index 12

Impact in

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

Papers in

    • Circular RNAs in diseases 5
    • Wnt/β-catenin signaling in development and cancer 3
    • Cancer-related gene regulation 2
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 6

Mingjian Ding

17 papers receiving 368 citations

Peers

Mingjian Ding
Comparison fields: 5 of 68
  • Cancer Research 151
  • Molecular Biology 241
  • Reproductive Medicine 19
  • Oncology 60
  • Biochemistry 12
Replace Xiaomin Liu with:
Xiaomin Liu China
Eun-Yeong Kim South Korea
Chuanbing Shi China
Bryan Ngo United States
Liying Wu China
Isabella Giacomini Italy
Ntlotlang Mokgautsi Taiwan
Ronan N. T. Coffey Ireland
Shilpi Chattopadhyay India
Mingjian Ding relative to Xiaomin Liu China Xiaomin Liu's profile →
Citations per field
00.5×10.3×
Xiaomin Liu · 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 201148
2 201643
3 201935
4 201634
5 201432
6 201627
7 202027
8 201126
9 201323
10 201817
11 201214
12 201612
13 202011
14 202010
15 20229
16 20176
17 20235

About Mingjian Ding

Mingjian Ding is a scholar working on Molecular Biology, Cancer Research, Plant Science, Pathology and Forensic Medicine and Pharmacology, having authored 17 papers that have together received 379 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Pharmacological Effects of Natural Compounds (2 papers), Cancer-related gene regulation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Phytochemistry and biological activity of medicinal plants (2 papers). The work is most often cited by research in Cancer Research (151 citations), Molecular Biology (241 citations), Reproductive Medicine (19 citations), Oncology (60 citations) and Biochemistry (12 citations). Mingjian Ding has collaborated with scholars based in China and Australia. Frequent co-authors include Xiaodong Cong, De‐Zai Dai, Shenglin Ma, Yin Dai, Wenzhe Wang, Xiaoju Wang, Liang Chen, You Wu, Weili Li and Yun Zhang. Their work appears in journals such as Biomedicine & Pharmacotherapy, Journal of Pharmacy and Pharmacology, Dose-Response, OncoTargets and Therapy and Tumor Biology.

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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