Huawei Feng

26 total papers · 539 total citations
20 papers, 355 citations indexed

About

Huawei Feng is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Huawei Feng has authored 20 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Huawei Feng's work include Cancer-related molecular mechanisms research (4 papers), Aquaculture disease management and microbiota (4 papers) and RNA and protein synthesis mechanisms (3 papers). Huawei Feng is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Aquaculture disease management and microbiota (4 papers) and RNA and protein synthesis mechanisms (3 papers). Huawei Feng collaborates with scholars based in China and Israel. Huawei Feng's co-authors include Hongsheng Liu, Li Zhang, Pengyu Yang, Qi Zhao, Shimeng Li, Jian Zhao, Lili Liu, Miao Liu, Isaiah T. Arkin and Di Xie and has published in prestigious journals such as Scientific Reports, Archives of Biochemistry and Biophysics and Journal of Computational Chemistry.

In The Last Decade

Huawei Feng

18 papers receiving 353 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Huawei Feng 192 106 104 42 31 20 355
Beibei Huang 199 1.0× 91 0.9× 30 0.3× 25 0.6× 22 0.7× 32 390
Xinyuan Yu 175 0.9× 79 0.7× 33 0.3× 14 0.3× 26 0.8× 25 343
Lu Liu 124 0.6× 61 0.6× 48 0.5× 27 0.6× 10 0.3× 19 359
Wan Xiang Shen 280 1.5× 86 0.8× 63 0.6× 64 1.5× 6 0.2× 17 399
Tian Ran Zhu 168 0.9× 133 1.3× 26 0.3× 19 0.5× 19 0.6× 17 368
Dalong Song 190 1.0× 41 0.4× 138 1.3× 11 0.3× 31 1.0× 20 346
Siyuan Liu 154 0.8× 15 0.1× 71 0.7× 20 0.5× 22 0.7× 29 378
Mohammed Haris Siddiqui 100 0.5× 85 0.8× 14 0.1× 30 0.7× 10 0.3× 22 298
Christian Domilongo Bope 145 0.8× 104 1.0× 12 0.1× 21 0.5× 13 0.4× 15 308
Bárbara Costa 155 0.8× 37 0.3× 40 0.4× 8 0.2× 21 0.7× 26 396

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

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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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