Ya-Dan Wang

610 citations
60 papers · 475 · h-index 14

Impact in

Papers in

Ya-Dan Wang

57 papers receiving 468 citations

Peers

Ya-Dan Wang
Comparison fields: 5 of 105
  • Complementary and alternative medicine 51
  • Developmental Neuroscience 22
  • Pharmacology 44
  • Cellular and Molecular Neuroscience 77
  • Hematology 43
Replace Ruixia Deng with:
Ruixia Deng Hong Kong
Chin-San Liu Taiwan
Jinghua Zhang China
Hae‐Ran Park South Korea
Mohd Farhan Macao
Yota Tatara Japan
Weifeng Mao China
Meifang Chen China
Yile Zhou China
Ya-Dan Wang relative to Ruixia Deng Hong Kong Ruixia Deng's profile →
Citations per field
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Ruixia Deng · 1×
Citations per year

Countries citing papers authored by Ya-Dan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ya-Dan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201743
2 201236
3 200735
4 201333
5 201130
6 201629
7 200624
8
Hepatitis B virus reactivation in a chronic myeloid leukemia patient treated with imatinib mesylate.
201220
9 200619
10 201316
11 201115
12 202114
13 202114
14 201614
15 201313
16 202311
17 20199
18 20149
19
Brain derived neurotrophic factor induces endothelial cells angiogenesis through AKT and ERK1/2 signal pathway.
20088
20
[Study on the high expression of brain-derived neurotrophic factor in multiple myeloma patients and its possible mechanism].
20056

About Ya-Dan Wang

Ya-Dan Wang is a scholar working on Molecular Biology, Complementary and alternative medicine, Plant Science, Hematology and Cellular and Molecular Neuroscience, having authored 60 papers that have together received 475 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (11 papers), Natural Compounds in Disease Treatment (9 papers), Nerve injury and regeneration (5 papers), Land Use and Ecosystem Services (5 papers), Phytochemistry and Biological Activities (5 papers), Cancer Mechanisms and Therapy (4 papers), Multiple Myeloma Research and Treatments (4 papers) and Chromatography in Natural Products (4 papers). The work is most often cited by research in Complementary and alternative medicine (51 citations), Developmental Neuroscience (22 citations), Pharmacology (44 citations), Cellular and Molecular Neuroscience (77 citations) and Hematology (43 citations). Ya-Dan Wang has collaborated with scholars based in China. Frequent co-authors include Chunyan Sun, Yu Hu, Shuang‐Cheng Ma, Jing Qu, Shi‐Shan Yu, Yun‐Bao Liu, Tao Wu, Qi Wang, Yong Li and Yong Li. Their work appears in journals such as Scientific Reports, Molecules, Tetrahedron, Analytica Chimica Acta and Chinese Chemical Letters.

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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