Ranran Tang

1.3k citations
43 papers · 950 · h-index 19

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery

Papers in

    • Protein Degradation and Inhibitors 5
    • RNA Research and Splicing 4
    • RNA modifications and cancer 4
    • MicroRNA in disease regulation 4
    • Cancer-related molecular mechanisms research 4

Ranran Tang

41 papers receiving 945 citations

Peers

Ranran Tang
Comparison fields: 5 of 99
  • Cancer Research 206
  • Biomaterials 95
  • Renewable Energy, Sustainability and the Environment 112
  • Molecular Biology 466
  • Endocrine and Autonomic Systems 40
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Mei‐Lang Kung Taiwan
Verica Paunović Serbia
Ana Victoria Lechuga‐Vieco Spain
Yu Cui China
Ali Masjedi Iran
Lun Zhang China
Zhijun Ge China
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Citations per field
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Citations per year

Countries citing papers authored by Ranran Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ranran Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201990
2 201885
3 201464
4 202358
5 201542
6 201741
7 201536
8 201535
9 201631
10 202030
11 201628
12 201728
13 201928
14 202027
15 201827
16 201727
17 201924
18 201722
19 202120
20
BPTF cooperates with p50 NF-κB to promote COX-2 expression and tumor cell growth in lung cancer.
201918

About Ranran Tang

Ranran Tang is a scholar working on Molecular Biology, Cancer Research, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Oncology, having authored 43 papers that have together received 950 indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (8 papers), Advanced battery technologies research (7 papers), Protein Degradation and Inhibitors (5 papers), Nanoplatforms for cancer theranostics (4 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (206 citations), Biomaterials (95 citations), Renewable Energy, Sustainability and the Environment (112 citations), Molecular Biology (466 citations) and Endocrine and Autonomic Systems (40 citations). Ranran Tang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Junzi Wu, Shiwei Niu, Wuguo Deng, Wei Guo, Wendan Yu, Xin‐Yao Yu, Yitong Zhou, Li‐Min Zhu, Zhu Li-min and Gareth R. Williams. Their work appears in journals such as Biochemistry and Cell Biology, Oncotarget, Cancer Letters, Molecular Oncology and Cell Death and Disease.

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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