Dan Su

97 papers receiving 2.7k citations

Dan Su's Hit Papers

Aroma effects of key volatile compounds in Keemun black tea at different grades: HS-SPME-GC-MS, sensory evaluation, and chemometrics 2021 · 187 citations
1870+1+3Years since publication50100150

Peers

Dan Su
Comparison fields: 5 of 130
  • Biological Psychiatry 120
  • Pharmacology 261
  • Complementary and alternative medicine 232
  • Food Science 371
  • Biochemistry 110
Replace Kai Liu with:
Kai Liu China
Tingting Zhou China
Xianli Meng China
Soheil Zorofchian Moghadamtousi Malaysia
Young Whan Choi South Korea
Xiaofang Xie China
Daiyin Peng China
Weisheng Feng China
Liuqing Di China
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Citations per year

Countries citing papers authored by Dan Su

Since Specialization
Citations

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

Fields of papers citing papers by Dan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007281
2
Aroma effects of key volatile compounds in Keemun black tea at different grades: HS-SPME-GC-MS, sensory evaluation, and chemometrics
Hit paper breakdown →
2021187
3 2004174
4 202192
5 200788
6 201678
7 201768
8 202067
9 201563
10 202062
11 202060
12 201356
13 201853
14 200850
15 201046
16 201946
17 201042
18 202041
19 201940
20 201637

About Dan Su

Dan Su is a scholar working on Molecular Biology, Food Science, Pharmacology, Complementary and alternative medicine and Pharmacology, having authored 100 papers that have together received 2.8k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (13 papers), Phytochemistry and Biological Activities (11 papers), Traditional Chinese Medicine Analysis (7 papers), Phytochemicals and Antioxidant Activities (6 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Chromatography in Natural Products (6 papers), Tryptophan and brain disorders (6 papers) and Gut microbiota and health (5 papers). The work is most often cited by research in Biological Psychiatry (120 citations), Pharmacology (261 citations), Complementary and alternative medicine (232 citations), Food Science (371 citations) and Biochemistry (110 citations). Dan Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yonggui Song, Qixin Zhong, Yali Li, Hongjie Zhou, Qiang Zeng, Kaishun Bi, Yali Liu, Zhifu Ai, Baixi Shan and Caroline Aspord. Their work appears in journals such as Journal of Ethnopharmacology, Journal of Pharmaceutical and Biomedical Analysis, Evidence-based Complementary and Alternative Medicine, RSC Advances and Phytomedicine.

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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