Li Feng

3.5k citations
72 papers · 2.7k indexed · h-index 25
Topics
Metabolomics and Mass Spectrometry Studies (6 papers)Enzyme Catalysis and Immobilization (6 papers)PI3K/AKT/mTOR signaling in cancer (5 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Li Feng

69 papers receiving 2.6k citations

Peers

Li Feng
Comparison fields: 5 of 138
  • Molecular Biology 1.6k
  • Cell Biology 512
  • Plant Science 499
  • Oncology 189
  • Genetics 189
Replace Zhe Zhang with:
Zhe Zhang China
Kyunghee Lee South Korea
In Gyu Kim South Korea
Giorgio Arrigoni Italy
José Luı́s Abad Spain
Jin Young Kim South Korea
Qiuyan Wang China
Keisuke Kato Japan
Soo-Hyun Kim South Korea
Do Hee Lee South Korea
Li Feng relative to Zhe Zhang China Zhe Zhang's profile →
Citations per field
00.5×1.5×
Zhe Zhang · 1×
Citations per year

Countries citing papers authored by Li Feng

Since Specialization
Citations

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

Fields of papers citing papers by Li Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Li Feng. A scholar is included among the top collaborators of Li Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li Feng. Li Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 9
4 2
5 24
6 3
7 20
8
Sonic Hedgehog Signaling Contributes to Chronic Post-Thoracotomy Pain via Activating BDNF/TrkB Pathway in Rats
1
9
全ゲノム配列決定によるバルク分離分析を組み合わせることによるイネ(Oryza sativa L.)における種子破砕のための遺伝子座の同定【JST・京大機械翻訳】
1
10 17
11 28
12 38
13 36
14 151
15 5
16 124
17 8
18 310
19
THE RESEACH ON METAL FLOW DURING EXTRUDING PROCESS UNDER DIFFERENT FRICTION CONDITIONS BY DEFORMING AREA DIVISIO
3
20 98

About Li Feng

Li Feng is a scholar working on Molecular Biology, Physiology and Cell Biology, having authored 72 papers that have together received 2.7k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Enzyme Catalysis and Immobilization (6 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). The work is most often cited by research in Cell Biology (512 citations), Molecular Biology (1.6k citations) and Biochemistry (129 citations). Li Feng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Weiwen Zhang, Lei Nie, Glenn D. Prestwich, Thomas P. Stossel, Liana Adam, Ratna K. Vadlamudi, Yasutaka Ohta, Diep Nguyen, Maozhi Ren and Raju Datla. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Journal of Neuroscience.

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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