Huawei Feng

550 citations
20 papers · 360 indexed · h-index 7
Co-authors
Hongsheng LiuLi ZhangPengyu YangQi ZhaoShimeng LiJian ZhaoLili LiuMiao Liu
Topics
Cancer-related molecular mechanisms research (4 papers)Aquaculture disease management and microbiota (4 papers)interferon and immune responses (3 papers)
Partner nations
ChinaIsraelFrance

In The Last Decade

Huawei Feng

18 papers receiving 357 citations

Peers

Huawei Feng
Comparison fields: 5 of 91
  • Molecular Biology 194
  • Computational Theory and Mathematics 109
  • Cancer Research 104
  • Materials Chemistry 43
  • Pulmonary and Respiratory Medicine 31
Replace Xingjian Chen with:
Xingjian Chen China
Wan Xiang Shen China
Jihui Zhao China
Jingbo Yang China
Mohan Rao United States
Mohammed Haris Siddiqui India
Mojtaba Rashidi Iran
Zarrin Minuchehr Iran
Tian Ran Zhu United States
Jingxing Wu China
Huawei Feng relative to Xingjian Chen China Xingjian Chen's profile →
Citations per field
00.5×1.5×2.3×
Xingjian Chen · 1×
Citations per year

Countries citing papers authored by Huawei Feng

Since Specialization
Citations

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

Fields of papers citing papers by Huawei Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huawei Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Huawei Feng. A scholar is included among the top collaborators of Huawei 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 Huawei Feng. Huawei 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 0
2 3
3 2
4 2
5 1
6 1
7 4
8 1
9 3
10 5
11 0
12 12
13 4
14 39
15 25
16 159
17 65
18 14
19 4
20 16

About Huawei Feng

Huawei Feng is a scholar working on Immunology, Aquatic Science and Cancer Research, having authored 20 papers that have together received 360 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Aquaculture disease management and microbiota (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Computational Theory and Mathematics (109 citations), Cancer Research (104 citations) and Molecular Biology (194 citations). Huawei Feng has collaborated with scholars based in China, Israel and France. Frequent co-authors include Hongsheng Liu, Li Zhang, Pengyu Yang, Qi Zhao, Shimeng Li, Jian Zhao, Lili Liu, Miao Liu, Isaiah T. Arkin and Xiuling Lin. Their work appears in journals such as Scientific Reports, Archives of Biochemistry and Biophysics and Journal of Computational Chemistry.

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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