Fang Liu

7.7k citations
228 papers · 5.8k indexed · 2 hit papers · h-index 42

Fang Liu

214 papers receiving 5.7k citations

Hit Papers

Updated performance o...2231996202620062016100200300400500

Peers

Fang Liu
Comparison fields: 5 of 175
  • Organic Chemistry 3.8k
  • Pharmaceutical Science 273
  • Inorganic Chemistry 530
  • Process Chemistry and Technology 84
  • Pharmacology 415
Replace Hidetoshi Tokuyama with:
Hidetoshi Tokuyama Japan
Thomas J. J. Müller Germany
Olaf Wiest United States
Junbiao Chang China
Martin D. Burke United States
Prasad V. Bharatam India
Alain Wagner France
R. Daniel Little United States
Ehud Keinan Israel
Yanguang Wang China
Fang Liu relative to Hidetoshi Tokuyama Japan Hidetoshi Tokuyama's profile →
Citations per field
00.5×
Hidetoshi Tokuyama · 1×
Citations per year

Countries citing papers authored by Fang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Fang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Fang Liu, 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 Fang Liu Line = papers co-authored together Fang Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20253
3 20242
4 20242
5 202416
6 20248
7 20241
8 202317
9 202214
10 202242
11 202115
12
Progress: Targeted Therapy, Immunotherapy, and New Chemotherapy Strategies in Advanced Triple-Negative Breast Cancer
20202
13
Phoenixin 14 Inhibits High-Fat Diet-Induced Non-Alcoholic Fatty Liver Disease in Experimental Mice
20202
14
The lncRNA ZEB2-AS1 is upregulated in gastric cancer and affects cell proliferation and invasion via miR-143-5p/HIF-1α axis
20191
15 201845
16 201828
17 201832
18 20141
19
Study of Synthetic Process of Novel Neonicotinoid Dinotefuran
20091
20
Interfacial Behaviors of Azocalixarene Derivatives at the Air/Water Interface and Photochromism in the Langmuir-Blodgett Films
20051

About Fang Liu

Fang Liu is a scholar working on Organic Chemistry, Pharmaceutical Science and Process Chemistry and Technology, having authored 228 papers that have together received 5.8k indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (29 papers), Sulfur-Based Synthesis Techniques (16 papers), Click Chemistry and Applications (15 papers), Molecular Sensors and Ion Detection (15 papers), Supramolecular Chemistry and Complexes (14 papers), Synthesis and Biological Evaluation (14 papers), Chemical Synthesis and Analysis (14 papers) and Radical Photochemical Reactions (13 papers). The work is most often cited by research in Organic Chemistry (3.8k citations), Pharmaceutical Science (273 citations) and Inorganic Chemistry (530 citations). Fang Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include K. N. Houk, Yong Liang, Ei‐ichi Negishi, Shengming Ma, Christophe Copéret, Show‐Yee Liou, Ying Shao, Cooper S. Jamieson, Yi Tang and Seonah Kim.

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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