Fuxiang Bai

41 total papers · 599 total citations
21 papers, 474 citations indexed

About

Fuxiang Bai is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Fuxiang Bai has authored 21 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Cancer Research. Recurrent topics in Fuxiang Bai's work include Signaling Pathways in Disease (3 papers), Silk-based biomaterials and applications (3 papers) and Autophagy in Disease and Therapy (3 papers). Fuxiang Bai is often cited by papers focused on Signaling Pathways in Disease (3 papers), Silk-based biomaterials and applications (3 papers) and Autophagy in Disease and Therapy (3 papers). Fuxiang Bai collaborates with scholars based in China, United States and Switzerland. Fuxiang Bai's co-authors include Xiaohong Liang, Chunhong Ma, Lifen Gao, Liyun Xu, Xunwei Wu, Wen Liu, Jun Mi, Xuetian Yue, Yanyan Huang and Chunyang Li and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Fuxiang Bai

20 papers receiving 470 citations

Author Peers

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

Author						Papers	Cites
Fuxiang Bai	225	106	104	100	76	21	474
Wenshan Zhao	213 0.9×	91 0.9×	98 0.9×	74 0.7×	106 1.4×	27	481
Changku Jia	238 1.1×	73 0.7×	114 1.1×	91 0.9×	81 1.1×	22	425
Yuexin Lu	230 1.0×	142 1.3×	115 1.1×	88 0.9×	93 1.2×	20	524
Hengxing Chen	297 1.3×	64 0.6×	115 1.1×	145 1.4×	65 0.9×	19	492
Benjamin C. Yan	236 1.0×	82 0.8×	100 1.0×	103 1.0×	29 0.4×	19	533
Xianming Kong	274 1.2×	59 0.6×	83 0.8×	108 1.1×	63 0.8×	24	551
Tong Huang	232 1.0×	88 0.8×	54 0.5×	109 1.1×	85 1.1×	26	476
Ru Ji	273 1.2×	65 0.6×	185 1.8×	147 1.5×	81 1.1×	18	547
Charles Vincent Rajadurai	251 1.1×	54 0.5×	111 1.1×	74 0.7×	37 0.5×	12	436
Hulin Chang	273 1.2×	86 0.8×	83 0.8×	177 1.8×	48 0.6×	26	514

Countries citing papers authored by Fuxiang Bai

Since Specialization

Citations

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

Fields of papers citing papers by Fuxiang Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuxiang Bai

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