Ruping Yan

836 citations
24 papers · 574 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Cancer Cells and Metastasis

Papers in

    • Epigenetics and DNA Methylation 5
    • Circular RNAs in diseases 2
    • RNA modifications and cancer 2
    • Polyamine Metabolism and Applications 1
    • Cancer Cells and Metastasis 4

Ruping Yan

23 papers receiving 573 citations

Peers

Ruping Yan
Comparison fields: 5 of 70
  • Cancer Research 153
  • Oncology 174
  • Molecular Biology 339
  • Immunology 83
  • Biotechnology 27
Replace Awad Shamma with:
Awad Shamma Japan
Rolando Pérez‐Lorenzo United States
Mary Hahn United States
Antonio Lucena-Cacace Spain
Stéphanie Gout France
Kelsey Weigel United States
Hai Yang Germany
Supreet Agarwal United States
Nick A. Kuburich United States
Xuhong Fu China
Ruping Yan relative to Awad Shamma Japan Awad Shamma's profile →
Citations per field
00.5×5.4×
Awad Shamma · 1×
Citations per year

Countries citing papers authored by Ruping Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ruping Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021207
2 201569
3 201559
4 201644
5 201139
6 201621
7 201220
8 200618
9 201916
10 201914
11 202112
12 201612
13 202210
14 20228
15 20137
16 20214
17 20174
18 20223
19 20192
20 20182

About Ruping Yan

Ruping Yan is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pharmacology, having authored 24 papers that have together received 574 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Cancer Cells and Metastasis (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (2 papers), MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers), Virus-based gene therapy research (2 papers) and Polyamine Metabolism and Applications (1 paper). The work is most often cited by research in Cancer Research (153 citations), Oncology (174 citations), Molecular Biology (339 citations), Immunology (83 citations) and Biotechnology (27 citations). Ruping Yan has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Zongliu Hou, Chunhui Wang, Yunqiang Shi, Yiming Zhong, Ruhong Li, Qinrong Ping, Mingxia Ding, Wenju Wang, Xin Cheng and Jiansong Wang. Their work appears in journals such as Cancer Research, Cancer Gene Therapy, Tumor Biology, Medicine and Cancer Biology & 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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