Yaling An

1.4k citations
41 papers · 339 · h-index 13

Impact in

Papers in

Yaling An

34 papers receiving 331 citations

Peers

Yaling An
Comparison fields: 5 of 75
  • Complementary and alternative medicine 46
  • Pharmacology 34
  • Infectious Diseases 52
  • Analytical Chemistry 28
  • Molecular Biology 153
Replace Petrina Kapewangolo with:
Petrina Kapewangolo Namibia
Jianyuan Zhao China
Arnaud Gaudry Switzerland
Junchi Wang China
Hyung Keun Kim South Korea
Jaykant Vora India
Tatsuya Ishihara Japan
Ahmed L. Alaofi Saudi Arabia
Stoyan Shishkov Bulgaria
Yaling An relative to Petrina Kapewangolo Namibia Petrina Kapewangolo's profile →
Citations per field
00.5×
Petrina Kapewangolo · 1×
Citations per year

Countries citing papers authored by Yaling An

Since Specialization
Citations

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

Fields of papers citing papers by Yaling An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202431
2 202130
3 202123
4 202121
5 202320
6 202219
7 202317
8 201915
9 202314
10 202214
11 202313
12 201913
13 202412
14 202111
15 20249
16 20239
17 20237
18 20247
19 20217
20 20227

About Yaling An

Yaling An is a scholar working on Molecular Biology, Complementary and alternative medicine, Plant Science, Infectious Diseases and Analytical Chemistry, having authored 41 papers that have together received 339 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (10 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Phytochemistry and Biological Activities (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Natural product bioactivities and synthesis (6 papers), Phytochemical Studies and Bioactivities (5 papers), Spectroscopy and Chemometric Analyses (4 papers) and Chromatography in Natural Products (3 papers). The work is most often cited by research in Complementary and alternative medicine (46 citations), Pharmacology (34 citations), Infectious Diseases (52 citations), Analytical Chemistry (28 citations) and Molecular Biology (153 citations). Yaling An has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include De‐an Guo, Wenlong Wei, Changliang Yao, Hua Qu, Zhenwei Li, Jianqing Zhang, Qirui Bi, Jiayuan Li, Lianpan Dai and Yun Li. Their work appears in journals such as Journal of Chromatography A, Phytomedicine, Microchemical Journal, Food Chemistry and Journal of Pharmaceutical Analysis.

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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