Lan Yang

673 citations
52 papers · 531 · h-index 12

Impact in

Papers in

Lan Yang

50 papers receiving 520 citations

Peers

Lan Yang
Comparison fields: 5 of 87
  • Pharmacology 120
  • Complementary and alternative medicine 71
  • Food Science 60
  • Pharmacology 55
  • Molecular Biology 222
Replace Surovi Saikia with:
Surovi Saikia India
Xue Jiang China
Yi Tao Wang Macao
Hyo Seon Kim South Korea
Yitao Wang Macao
Jin‐Soo Park South Korea
Debasis Sahu India
Biswajit Chakraborty India
Lan Yang relative to Surovi Saikia India Surovi Saikia's profile →
Citations per field
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Surovi Saikia · 1×
Citations per year

Countries citing papers authored by Lan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201554
2 201851
3 201346
4 201739
5 202026
6 202322
7 202115
8
[Determination of artemisinin, arteannuin B and artemisinic acid in Herba Artemisiae Annuae by HPLC-UV-ELSD].
200715
9 201914
10 202213
11 202013
12 201912
13 201311
14 202011
15 202111
16 202211
17 202110
18 200710
19 202110
20 202010

About Lan Yang

Lan Yang is a scholar working on Molecular Biology, Plant Science, Pharmacology, Organic Chemistry and Public Health, Environmental and Occupational Health, having authored 52 papers that have together received 531 indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (11 papers), Natural product bioactivities and synthesis (8 papers), Traditional Chinese Medicine Analysis (6 papers), Malaria Research and Control (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), Pharmacological Effects of Natural Compounds (5 papers), Catalytic C–H Functionalization Methods (4 papers) and Drug-Induced Hepatotoxicity and Protection (4 papers). The work is most often cited by research in Pharmacology (120 citations), Complementary and alternative medicine (71 citations), Food Science (60 citations), Pharmacology (55 citations) and Molecular Biology (222 citations). Lan Yang has collaborated with scholars based in China, Czechia and Japan. Frequent co-authors include Dong Zhang, Peng Sun, Xiaoxin Zhu, Yanmei Feng, Qian Li, Nanjun Chen, Ying Chen, Xiaogang Weng, Xiaodong Li and Liwei Gu. Their work appears in journals such as Molecules, Advanced Synthesis & Catalysis, Frontiers in Chemistry, Environmental Chemistry Letters and Journal of AOAC International.

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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