Hai Ming Wang

428 citations
22 papers · 394 · h-index 12

Impact in

Papers in

Hai Ming Wang

22 papers receiving 380 citations

Peers

Hai Ming Wang
Comparison fields: 5 of 70
  • Pharmaceutical Science 108
  • Spectroscopy 63
  • Organic Chemistry 98
  • Rehabilitation 23
  • Pharmacology 29
Replace Weili Heng with:
Weili Heng China
Runhua Lu China
K.P. Safna Hussan India
Fatemeh Salehian Iran
Jinghao Pan China
Caiqin Yang China
Xiaojin Wang China
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Balvant Yadav India
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Citations per field
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Citations per year

Countries citing papers authored by Hai Ming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hai Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai Ming 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 Hai Ming Wang. The network helps show where Hai Ming Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201254
2 200846
3 201236
4 200832
5 200727
6 201225
7 200724
8 200724
9 199921
10 200817
11 200717
12 201115
13 201310
14 200810
15 20219
16 20088
17
[Study on licorice resources and their sustainable utilization in center and western area of China].
20036
18
ALKALOIDS FROM ACONITUM TANGUTICUM
20024
19
Novel Indole Alkaloid from the Flowers of Rauvolfia yunnanensis
20103
20 20243

About Hai Ming Wang

Hai Ming Wang is a scholar working on Materials Chemistry, Pharmaceutical Science, Molecular Biology, Organic Chemistry and Pharmacology, having authored 22 papers that have together received 394 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (10 papers), Crystallization and Solubility Studies (9 papers), Analytical Chemistry and Chromatography (4 papers), Crystallography and molecular interactions (3 papers), Natural product bioactivities and synthesis (2 papers), Protein purification and stability (2 papers), Graphene research and applications (2 papers) and Thermal and Kinetic Analysis (2 papers). The work is most often cited by research in Pharmaceutical Science (108 citations), Spectroscopy (63 citations), Organic Chemistry (98 citations), Rehabilitation (23 citations) and Pharmacology (29 citations). Hai Ming Wang has collaborated with scholars based in China, Germany and Romania. Frequent co-authors include Le Xin Song, Gerhard Wenz, Peng Xu, Codruţa Şoica, Lei Bai, Yan Yang, Mariana Anghel, Cristina Dehelean, Florina Bojin and Corina Danciu. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Beilstein Journal of Organic Chemistry, Bulletin of the Chemical Society of Japan, Chemistry - An Asian Journal and Chinese Journal of Chemistry.

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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