Bi Feng

12 total papers · 456 total citations
11 papers, 345 citations indexed

About

Bi Feng is a scholar working on Complementary and alternative medicine, Molecular Biology and Pharmacology. According to data from OpenAlex, Bi Feng has authored 11 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Complementary and alternative medicine, 3 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Bi Feng's work include Traditional Chinese Medicine Analysis (3 papers), Pharmacological Effects of Medicinal Plants (2 papers) and Phytochemicals and Antioxidant Activities (2 papers). Bi Feng is often cited by papers focused on Traditional Chinese Medicine Analysis (3 papers), Pharmacological Effects of Medicinal Plants (2 papers) and Phytochemicals and Antioxidant Activities (2 papers). Bi Feng collaborates with scholars based in China. Bi Feng's co-authors include Dingkun Zhang, Runchun Xu, Chuanhong Luo, Li Han, Yanan He, Zhimin Ci, Ran Fei, Hong Xu, Jiao Song and Xiaorong Xu and has published in prestigious journals such as Scientific Reports, Molecules and Journal of Ethnopharmacology.

In The Last Decade

Bi Feng

11 papers receiving 338 citations

Hit Papers

New progress in the pharm... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Bi Feng 125 78 60 58 54 11 345
Nikhil Nath 120 1.0× 47 0.6× 73 1.2× 54 0.9× 43 0.8× 8 360
Chi-Huang Chang 132 1.1× 83 1.1× 80 1.3× 70 1.2× 49 0.9× 15 393
Donia Karaman 102 0.8× 65 0.8× 87 1.4× 52 0.9× 48 0.9× 13 403
Yaw-Bee Ker 104 0.8× 94 1.2× 76 1.3× 74 1.3× 55 1.0× 16 334
Youdan Liang 156 1.2× 76 1.0× 75 1.3× 45 0.8× 68 1.3× 11 403
Dhanushka Gunawardena 110 0.9× 73 0.9× 70 1.2× 39 0.7× 54 1.0× 13 373
Sariya Mapoung 131 1.0× 46 0.6× 69 1.1× 35 0.6× 45 0.8× 17 365
Biagio Armentano 150 1.2× 35 0.4× 50 0.8× 62 1.1× 52 1.0× 12 362
Kuluvar Gouthamchandra 94 0.8× 51 0.7× 74 1.2× 64 1.1× 29 0.5× 19 379
Donatella Cicia 200 1.6× 40 0.5× 57 0.9× 43 0.7× 51 0.9× 9 362

Countries citing papers authored by Bi Feng

Since Specialization
Citations

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

Fields of papers citing papers by Bi Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bi Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Bi Feng. A scholar is included among the top collaborators of Bi 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 Bi Feng. Bi 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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