Tingting Fu

751 citations
40 papers · 624 indexed · h-index 13
Topics
Analytical Chemistry and Chromatography (5 papers)Computational Drug Discovery Methods (4 papers)Pharmacogenetics and Drug Metabolism (3 papers)

In The Last Decade

Tingting Fu

35 papers receiving 618 citations

Peers

Tingting Fu
Comparison fields: 5 of 114
  • Molecular Biology 297
  • Computational Theory and Mathematics 108
  • Infectious Diseases 68
  • Oncology 63
  • Pharmacology 59
Replace Enrico Mombelli with:
Enrico Mombelli France
Alban Lepailleur France
Inthirany Thillainadarajah United States
Dhritiman Dey India
Nianshu Zhang United Kingdom
Mikiko Takahashi Japan
Viviani Nardini Brazil
Brandie M. Ehrmann United States
Angshuman Bagchi India
Xian Liu China
Tingting Fu relative to Enrico Mombelli France Enrico Mombelli's profile →
Citations per field
00.5×9.7×
Enrico Mombelli · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 0
5 0
6 0
7 25
8 2
9 2
10 7
11 2
12 11
13 4
14 9
15 5
16 5
17 10
18 48
19 29
20
Effect of Different Culture Substrates and Cultivation Mode on Sensory Quality of Auricularia auricular
0

About Tingting Fu

Tingting Fu is a scholar working on Pharmacology, Spectroscopy and Biological Psychiatry, having authored 40 papers that have together received 624 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (5 papers), Computational Drug Discovery Methods (4 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Computational Theory and Mathematics (108 citations), Industrial and Manufacturing Engineering (50 citations) and Pharmacology (48 citations). Tingting Fu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Feng Zhu, Weiwei Xue, Xiaojun Yao, Guoxun Zheng, Yu Chen, Fengyuan Yang, Qing‐Chuan Zheng, Panpan Wang, Fengcheng Li and Gao Tu. Their work appears in journals such as Nucleic Acids Research, The Journal of Physical Chemistry C and International Journal of Molecular Sciences.

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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