Mei Feng

3.1k total citations · 1 hit paper
91 papers, 1.8k citations indexed

About

Mei Feng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Mei Feng has authored 91 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 14 papers in Cancer Research and 12 papers in Oncology. Recurrent topics in Mei Feng's work include Nitric Oxide and Endothelin Effects (6 papers), TGF-β signaling in diseases (5 papers) and MicroRNA in disease regulation (5 papers). Mei Feng is often cited by papers focused on Nitric Oxide and Endothelin Effects (6 papers), TGF-β signaling in diseases (5 papers) and MicroRNA in disease regulation (5 papers). Mei Feng collaborates with scholars based in China, United States and Israel. Mei Feng's co-authors include Ruirui Kong, Ning Zhang, Mi Deng, Hengkang Liu, Ruidong Xue, Zemin Zhang, Li Zhao, Qimin Zhan, Jinghui Cheng and Jiye Zhu and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Mei Feng

84 papers receiving 1.8k citations

Hit Papers

Liver tumour immune microenvironment subtypes and neutrop... 2022 2026 2023 2024 2022 100 200 300 400

Peers

Mei Feng
Comparison fields: 5 of 128
  • Molecular Biology 835
  • Immunology 375
  • Cancer Research 341
  • Oncology 318
  • Surgery 185
Replace Shi Yao with:
Shi Yao China
Nicholas Sibinga United States
George I. Gorodeski United States
Fabio Benigni Italy
Dong Li China
Huan Yang China
Qingtong Wang China
Giuseppe Servillo Italy
Tomohiro Aoki Japan
Aldona Kasprzak Poland
Shi Yao China View profile →
Citations per field, relative to Mei Feng
Mei Feng · 1×
Citations per year, relative to Mei Feng
Mei Feng · 1×

Countries citing papers authored by Mei Feng

Since Specialization
Citations

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

Fields of papers citing papers by Mei Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Feng. A scholar is included among the top collaborators of Mei 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 Mei Feng. Mei 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
# Work Indexed citations
1 1
2 0
3 6
4 8
5 5
6 14
7 3
8 6
9
Liver tumour immune microenvironment subtypes and neutrophil heterogeneity breakdown →
494
10 3
11 8
12 73
13 49
14 3
15 19
16 7
17
Genetic Analysis and Follow-Up of 23 Neonatal Diabetes Mellitus Patients in China
0
18 24
19 70
20 66

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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