Lanlan Feng

452 citations
21 papers · 347 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Thallium and Germanium Studies

Papers in

    • Photosynthetic Processes and Mechanisms 3
    • Mitochondrial Function and Pathology 3
    • Circular RNAs in diseases 2
    • RNA Research and Splicing 2

Lanlan Feng

21 papers receiving 342 citations

Peers

Lanlan Feng
Comparison fields: 5 of 71
  • Cancer Research 87
  • Pollution 33
  • Renewable Energy, Sustainability and the Environment 46
  • Genetics 22
  • Molecular Biology 118
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Fengfeng Li China
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Citations per field
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Citations per year

Countries citing papers authored by Lanlan Feng

Since Specialization
Citations

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

Fields of papers citing papers by Lanlan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201847
2 201943
3 202132
4 201232
5 202327
6 202321
7 202020
8 202019
9 202116
10 201916
11 202415
12 202114
13 202413
14 20217
15 20246
16 20256
17 20245
18 20133
19 20252
20
[Expressions of gastrin and apoptosis-associated proteins involved in mitochondrial pathway in gastric cancer tissues and the clinical significance].
20172

About Lanlan Feng

Lanlan Feng is a scholar working on Molecular Biology, Plant Science, Renewable Energy, Sustainability and the Environment, Materials Chemistry and Cancer Research, having authored 21 papers that have together received 347 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Catalytic Processes in Materials Science (3 papers), Mitochondrial Function and Pathology (3 papers), Autophagy in Disease and Therapy (3 papers), Advanced Photocatalysis Techniques (2 papers), Circular RNAs in diseases (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (87 citations), Pollution (33 citations), Renewable Energy, Sustainability and the Environment (46 citations), Genetics (22 citations) and Molecular Biology (118 citations). Lanlan Feng has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Fangrong Shen, Jinhua Zhou, Xiaohong Zhuang, Rong Jiang, Yajuan Wei, Yuejuan Xu, Li Yin, Shaowei Wei, Zibo Zhao and Jingbo Zhang. Their work appears in journals such as Gene, Journal of Colloid and Interface Science, Plants, ChemSusChem and PLANT PHYSIOLOGY.

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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