Tingting Fu

55 total papers · 740 total citations
38 papers, 619 citations indexed

About

Tingting Fu is a scholar working on Molecular Biology, Spectroscopy and Pharmacology. According to data from OpenAlex, Tingting Fu has authored 38 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Spectroscopy and 5 papers in Pharmacology. Recurrent topics in Tingting Fu's work include Analytical Chemistry and Chromatography (5 papers), Computational Drug Discovery Methods (4 papers) and Receptor Mechanisms and Signaling (3 papers). Tingting Fu is often cited by papers focused on Analytical Chemistry and Chromatography (5 papers), Computational Drug Discovery Methods (4 papers) and Receptor Mechanisms and Signaling (3 papers). Tingting Fu collaborates with scholars based in China, Singapore and United States. Tingting Fu's co-authors include Feng Zhu, Xiaojun Yao, Weiwei Xue, Guoxun Zheng, Yu Chen, Fengyuan Yang, Panpan Wang, Qing‐Chuan Zheng, Fengcheng Li and Gao Tu and has published in prestigious journals such as Nucleic Acids Research, The Journal of Physical Chemistry C and International Journal of Molecular Sciences.

In The Last Decade

Tingting Fu

34 papers receiving 612 citations

Author Peers

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

Author						Papers	Cites
Tingting Fu	296	108	68	62	58	38	619
Hamilton Mitsugu Ishiki	198 0.7×	111 1.0×	16 0.2×	29 0.5×	71 1.2×	43	588
Mohamed A. Helal	326 1.1×	79 0.7×	77 1.1×	45 0.7×	59 1.0×	46	681
João T. S. Coimbra	312 1.1×	149 1.4×	35 0.5×	58 0.9×	35 0.6×	33	628
Karim Mahnam	277 0.9×	93 0.9×	30 0.4×	51 0.8×	58 1.0×	61	577
Thet Thet Htar	229 0.8×	71 0.7×	30 0.4×	55 0.9×	69 1.2×	41	662
Rajasri Bhattacharyya	238 0.8×	24 0.2×	42 0.6×	24 0.4×	36 0.6×	36	528
Jacky Van Gompel	217 0.7×	106 1.0×	24 0.4×	17 0.3×	19 0.3×	18	667
María Gálvez-Llompart	224 0.8×	282 2.6×	32 0.5×	19 0.3×	52 0.9×	47	514
Alban Lepailleur	252 0.9×	193 1.8×	32 0.5×	23 0.4×	73 1.3×	32	614
Renshi Li	212 0.7×	48 0.4×	9 0.1×	16 0.3×	116 2.0×	46	607

Countries citing papers authored by Tingting Fu

Since Specialization

Citations

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

Fields of papers citing papers by Tingting Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Fu

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