Li-Fang Yu

1.9k total citations
63 papers, 1.4k citations indexed

About

Li-Fang Yu is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Li-Fang Yu has authored 63 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 17 papers in Pharmacology and 12 papers in Organic Chemistry. Recurrent topics in Li-Fang Yu's work include Pharmacological Receptor Mechanisms and Effects (12 papers), Receptor Mechanisms and Signaling (10 papers) and Nicotinic Acetylcholine Receptors Study (9 papers). Li-Fang Yu is often cited by papers focused on Pharmacological Receptor Mechanisms and Effects (12 papers), Receptor Mechanisms and Signaling (10 papers) and Nicotinic Acetylcholine Receptors Study (9 papers). Li-Fang Yu collaborates with scholars based in China, United States and Australia. Li-Fang Yu's co-authors include Jia Li, Fan Yang, Fajun Nan, Hendra Gunosewoyo, Jie Tang, Tao Pang, Alan P. Kozikowski, Ronald J. Lukas, Beiying Qiu and J. Brek Eaton and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Li-Fang Yu

62 papers receiving 1.4k citations

Peers

Li-Fang Yu
Comparison fields: 5 of 93
  • Molecular Biology 853
  • Organic Chemistry 430
  • Pharmacology 243
  • Surgery 153
  • Epidemiology 120
Replace Hiroyuki Miyachi with:
Hiroyuki Miyachi Japan
Robert J. DeVita United States
Arie Gruzman Israel
Andrea Galmozzi United States
Steven H. Olson United States
Marco Miceli Italy
Barbara Becattini Sweden
Régis Millet France
Alessia Bertamino Italy
Sonia R. Salvatore United States
Hiroyuki Miyachi Japan View profile →
Citations per field, relative to Li-Fang Yu
Li-Fang Yu · 1×
Citations per year, relative to Li-Fang Yu
Li-Fang Yu · 1×

Countries citing papers authored by Li-Fang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Li-Fang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li-Fang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Li-Fang Yu. A scholar is included among the top collaborators of Li-Fang Yu 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 Li-Fang Yu. Li-Fang Yu 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
# Work Indexed citations
1 1
2 1
3 2
4 8
5 11
6 4
7 6
8 25
9 9
10 24
11 39
12 50
13 10
14 5
15 13
16 21
17 62
18 2
19 40
20 40

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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