Maohui Feng

799 total citations
54 papers, 605 citations indexed

About

Maohui Feng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Maohui Feng has authored 54 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 14 papers in Cancer Research and 12 papers in Oncology. Recurrent topics in Maohui Feng's work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (6 papers) and Ferroptosis and cancer prognosis (6 papers). Maohui Feng is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (6 papers) and Ferroptosis and cancer prognosis (6 papers). Maohui Feng collaborates with scholars based in China, United Kingdom and Niger. Maohui Feng's co-authors include Wei Xie, Danwen Wang, Fei Su, Lijie Yang, Xiong-Zhi Wu, Hong‐Bing Xiang, Fenfang Zhou, Huaqiao Wang, Bi‐Cheng Wang and Long-Feng Lu and has published in prestigious journals such as Journal of Clinical Oncology, Molecular Cancer and Medicine.

In The Last Decade

Maohui Feng

53 papers receiving 597 citations

Peers

Maohui Feng
Comparison fields: 5 of 90
  • Molecular Biology 343
  • Cancer Research 210
  • Oncology 150
  • Pulmonary and Respiratory Medicine 98
  • Immunology 58
Replace Chen Luo with:
Chen Luo China
Sukjin Yang United States
Kumi Takasawa Japan
Hyun Ahm Sohn South Korea
Rangasudhagar Radhakrishnan United States
Anna Smith United States
Jee‐Youn Kim South Korea
Sylvie Rodrigues-Ferreira France
Nolan G. Ericson United States
Kira T. Pate United States
Chen Luo China View profile →
Citations per field, relative to Maohui Feng
Maohui Feng · 1×
Citations per year, relative to Maohui Feng
Maohui Feng · 1×

Countries citing papers authored by Maohui Feng

Since Specialization
Citations

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

Fields of papers citing papers by Maohui Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maohui Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Maohui Feng. A scholar is included among the top collaborators of Maohui 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 Maohui Feng. Maohui 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 6
2 5
3 4
4 2
5 5
6 2
7 13
8 4
9 9
10 33
11 11
12 2
13 29
14 10
15 6
16 5
17 44
18
A higher number of circulating tumor cells (CTC) in peripheral blood indicates poor prognosis in prostate cancer patients--a meta-analysis.
33
19 8
20
[Study on the relationship between polymorphisms of genes (CYP17, CYP19 and SULT1A1) and susceptibility to breast cancer in Chinese women].
9

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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