Tingming Fu

1.3k citations
71 papers · 1.1k · h-index 20

Impact in

Papers in

Tingming Fu

70 papers receiving 1.0k citations

Peers

Tingming Fu
Comparison fields: 5 of 105
  • Pharmaceutical Science 151
  • Molecular Medicine 78
  • Complementary and alternative medicine 115
  • Pharmacology 82
  • Biomaterials 126
Replace Dhanalekshmi Unnikrishnan Meenakshi with:
Dhanalekshmi Unnikrishnan Meenakshi Oman
Feng Shi China
Qingyong Li China
Juber Akhtar India
Mohd Samim India
Yanting Huang China
Roghayeh Abbasalipourkabir Iran
Aishah Adam Malaysia
Florin Borcan Romania
Tingming Fu relative to Dhanalekshmi Unnikrishnan Meenakshi Oman Dhanalekshmi Unnikrishnan Meenakshi's profile →
Citations per field
00.5×2×2.7×
Dhanalekshmi Unnikrishnan Meenakshi · 1×
Citations per year

Countries citing papers authored by Tingming Fu

Since Specialization
Citations

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

Fields of papers citing papers by Tingming Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tingming Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tingming Fu Line = papers co-authored together Tingming Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019102
2 202060
3 201758
4 201750
5 201748
6 201638
7 200932
8 201932
9 201531
10 201630
11 202229
12 201627
13 201526
14 202126
15 202124
16 201524
17 200823
18 201423
19 202222
20 202020

About Tingming Fu

Tingming Fu is a scholar working on Complementary and alternative medicine, Pharmacology, Biomaterials, Nephrology and Pharmaceutical Science, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Silymarin and Mushroom Poisoning (7 papers), Computational Drug Discovery Methods (6 papers), Gout, Hyperuricemia, Uric Acid (6 papers), Pharmacological Effects of Natural Compounds (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Inhalation and Respiratory Drug Delivery (4 papers), Analytical Chemistry and Chromatography (4 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers). The work is most often cited by research in Pharmaceutical Science (151 citations), Molecular Medicine (78 citations), Complementary and alternative medicine (115 citations), Pharmacology (82 citations) and Biomaterials (126 citations). Tingming Fu has collaborated with scholars based in China and United States. Frequent co-authors include Junsong Li, Yonghai Liu, Huaxu Zhu, Chunyan Ou, Fengsheng Li, Lingchong Wang, Qin Zheng, Yao Chen, Jiawei Han and Xuanyu Chen. Their work appears in journals such as RSC Advances, International Journal of Pharmaceutics, ACS Pharmacology & Translational Science, Colloids and Surfaces B Biointerfaces and CrystEngComm.

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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