Ning‐Hua Tan

5.6k citations
242 papers · 4.3k indexed · h-index 32

Impact in

Papers in

Ning‐Hua Tan

238 papers receiving 4.3k citations

Peers

Ning‐Hua Tan
Comparison fields: 5 of 128
  • Complementary and alternative medicine 489
  • Toxicology 201
  • Pharmacology 496
  • Biotechnology 405
  • Molecular Biology 2.7k
Replace Ming‐Hua Yang with:
Ming‐Hua Yang China
Marcus J. C. Long United States
Young‐Soo Hong South Korea
Jong Soon Kang South Korea
Sheng‐Xiang Qiu China
Jong Seog Ahn South Korea
David J. Kroll United States
Yoongho Lim South Korea
Shi Yong Ryu South Korea
Yong‐Xian Cheng China
Ning‐Hua Tan relative to Ming‐Hua Yang China Ming‐Hua Yang's profile →
Citations per field
00.5×3.5×
Ming‐Hua Yang · 1×
Citations per year

Countries citing papers authored by Ning‐Hua Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ning‐Hua Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ning‐Hua Tan. 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 Ning‐Hua Tan. The network helps show where Ning‐Hua Tan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20253
3 20250
4 20253
5 20250
6 202416
7 20241
8 20243
9 202411
10 20244
11 20233
12 20225
13 202114
14 201925
15 201832
16 201021
17 200983
18 200610
19
New triterpenoid saponins from Polycarpon prostratum (Caryophyllaceae)
20001
20
Three new cyclopeptides from Silene szechuensis
19978

About Ning‐Hua Tan

Ning‐Hua Tan is a scholar working on Complementary and alternative medicine, Pharmacology, Toxicology, Biotechnology and Molecular Biology, having authored 242 papers that have together received 4.3k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (74 papers), Phytochemistry and Biological Activities (39 papers), Biochemical and Structural Characterization (27 papers), Phytochemical compounds biological activities (27 papers), Morinda citrifolia extract uses (25 papers), Pharmacological Effects of Natural Compounds (24 papers), Microbial Natural Products and Biosynthesis (20 papers) and Sesquiterpenes and Asteraceae Studies (18 papers). The work is most often cited by research in Complementary and alternative medicine (489 citations), Toxicology (201 citations), Pharmacology (496 citations), Biotechnology (405 citations) and Molecular Biology (2.7k citations). Ning‐Hua Tan has collaborated with scholars based in China, Hong Kong and Cameroon. Frequent co-authors include Guang‐Zhi Zeng, Jun Zhou, Zhe Wang, Wenjun He, Chang‐Jiu Ji, Simeng Zhao, Huachao Chen, Yongrong Yao, Junting Fan and Xulin Pan. Their work appears in journals such as Phytochemistry, Journal of Ethnopharmacology, European Journal of Medicinal Chemistry, Helvetica Chimica Acta and Molecules.

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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