Yuanlin Ding

2.0k citations
52 papers · 1.5k · h-index 20

Impact in

Papers in

    • Circular RNAs in diseases 6
    • RNA modifications and cancer 3
    • Cancer-related molecular mechanisms research 10
    • MicroRNA in disease regulation 6

Yuanlin Ding

50 papers receiving 1.5k citations

Peers

Yuanlin Ding
Comparison fields: 5 of 120
  • Cancer Research 587
  • Sensory Systems 54
  • Molecular Biology 757
  • Rehabilitation 65
  • Speech and Hearing 60
Replace Akihiro Nomura with:
Akihiro Nomura Japan
Yongjian Yang China
Xuemei Zhang China
Jacopo Sabbatinelli Italy
Ting Shen China
Ján Kyselovič Slovakia
Justine M. Abais United States
Sachin Gajghate United States
Hueng‐Chuen Fan Taiwan
Bo‐Zong Shao China
Yuanlin Ding relative to Akihiro Nomura Japan Akihiro Nomura's profile →
Citations per field
00.5×4.4×
Akihiro Nomura · 1×
Citations per year

Countries citing papers authored by Yuanlin Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yuanlin Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017245
2 2015195
3 2019110
4 2017107
5 201499
6 201573
7 202063
8 201156
9 201540
10 202137
11 201137
12 202135
13 201334
14 201029
15 201826
16 201026
17 202224
18 202424
19 202322
20 201520

About Yuanlin Ding

Yuanlin Ding is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Genetic Associations and Epidemiology (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), RNA modifications and cancer (3 papers) and Nutritional Studies and Diet (3 papers). The work is most often cited by research in Cancer Research (587 citations), Sensory Systems (54 citations), Molecular Biology (757 citations), Rehabilitation (65 citations) and Speech and Hearing (60 citations). Yuanlin Ding has collaborated with scholars based in China, United States and Bahrain. Frequent co-authors include Danli Kong, Haibing Yu, Kai Wang, Haiyan Pan, Juanjuan Lin, Yuqing He, Taek‐Kyun Kim, Haibing Yu, Zhigang Huang and Yugang Jiang. Their work appears in journals such as Scientific Reports, Cancer Cell International, Frontiers in Pharmacology, PLoS ONE and Molecular Genetics and Genomics.

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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