Ruofan Ding

576 citations
20 papers · 340 · h-index 8

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • Extracellular vesicles in disease
    • RNA Interference and Gene Delivery

Papers in

    • RNA modifications and cancer 10
    • RNA Research and Splicing 8
    • Genomics and Chromatin Dynamics 4
    • RNA and protein synthesis mechanisms 3
    • Genomics and Phylogenetic Studies 3
    • Machine Learning in Bioinformatics 2
    • Cancer-related molecular mechanisms research 6
    • MicroRNA in disease regulation 3

Ruofan Ding

18 papers receiving 338 citations

Peers

Ruofan Ding
Comparison fields: 5 of 73
  • Cancer Research 184
  • Molecular Biology 273
  • Genetics 32
  • Immunology 21
  • Physiology 4
Replace Ângela Aguirres Fachel with:
Ângela Aguirres Fachel Brazil
Patrick Chalbos France
Joana Silva Portugal
Yun Deng China
Saara Lehmusvaara Finland
Huaibing Luo China
Stephanie Greer United States
Eva Michalová Czechia
Ashley Cass United States
Zuxianglan Zhao China
Ruofan Ding relative to Ângela Aguirres Fachel Brazil Ângela Aguirres Fachel's profile →
Citations per field
00.5×6.1×
Ângela Aguirres Fachel · 1×
Citations per year

Countries citing papers authored by Ruofan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ruofan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2014176
2 201828
3 201825
4 201717
5 201616
6 202314
7 20239
8 20229
9 20197
10 20237
11 20176
12 20246
13 20225
14 20244
15 20244
16 20242
17 20212
18 20222
19 19991
20 20220

About Ruofan Ding

Ruofan Ding is a scholar working on Molecular Biology, Cancer Research, Genetics, Pharmacology and Pathology and Forensic Medicine, having authored 20 papers that have together received 340 indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), RNA Research and Splicing (8 papers), Cancer-related molecular mechanisms research (6 papers), Genomics and Chromatin Dynamics (4 papers), MicroRNA in disease regulation (3 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Cancer Research (184 citations), Molecular Biology (273 citations), Genetics (32 citations), Immunology (21 citations) and Physiology (4 citations). Ruofan Ding has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Zhiyun Guo, Lili Xiong, Yalan Yang, Miranda Maki, Bao Zhang, Yiming Zhang, Qingqing Huang, Ran Kang, Wenrong Liu and Lei Li. Their work appears in journals such as Nature Communications, International Journal of Biological Sciences, Nucleic Acids Research, Genomics Proteomics & Bioinformatics 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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