Ting Fu

26 total papers · 547 total citations
23 papers, 419 citations indexed

About

Ting Fu is a scholar working on Immunology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ting Fu has authored 23 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 6 papers in Molecular Biology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ting Fu's work include Immune Response and Inflammation (4 papers), Immune Cell Function and Interaction (4 papers) and Ocular Surface and Contact Lens (4 papers). Ting Fu is often cited by papers focused on Immune Response and Inflammation (4 papers), Immune Cell Function and Interaction (4 papers) and Ocular Surface and Contact Lens (4 papers). Ting Fu collaborates with scholars based in China, United States and Germany. Ting Fu's co-authors include Zhijie Li, Yunxia Xue, Werner Hoffmann, Jun Liu, Cheng Xue Qin, Jiansu Chen, Phillip Kantharidis, Catherine Godson, Owen L. Woodman and Eoin Brennan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cancer Research.

In The Last Decade

Ting Fu

22 papers receiving 417 citations

Author Peers

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

Author						Papers	Cites
Ting Fu	153	127	75	64	43	23	419
Pietro D’Agostino	113 0.7×	116 0.9×	97 1.3×	32 0.5×	73 1.7×	16	455
A. Caretto	128 0.8×	49 0.4×	40 0.5×	80 1.3×	34 0.8×	21	450
Mariano F. LaVia	111 0.7×	128 1.0×	70 0.9×	33 0.5×	40 0.9×	22	472
Xi Dong	93 0.6×	192 1.5×	67 0.9×	119 1.9×	34 0.8×	24	495
Jeffress G. Palmer	133 0.9×	68 0.5×	49 0.7×	23 0.4×	52 1.2×	22	478
Maria Cristina Manfrinato	116 0.8×	110 0.9×	48 0.6×	64 1.0×	26 0.6×	25	479
Murli Manohar	158 1.0×	81 0.6×	65 0.9×	26 0.4×	47 1.1×	22	387
Takumi Tsuji	150 1.0×	157 1.2×	71 0.9×	17 0.3×	35 0.8×	31	412
Yosuke Shikama	99 0.6×	129 1.0×	36 0.5×	37 0.6×	121 2.8×	36	422
Ana Serezani	164 1.1×	94 0.7×	30 0.4×	29 0.5×	67 1.6×	17	483

Countries citing papers authored by Ting Fu

Since Specialization

Citations

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

Fields of papers citing papers by Ting Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Fu

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