Michael S. Wang

474 citations
17 papers · 324 · h-index 8

Impact in

Papers in

Michael S. Wang

16 papers receiving 321 citations

Peers

Michael S. Wang
Comparison fields: 5 of 65
  • Health, Toxicology and Mutagenesis 133
  • Pharmaceutical Science 59
  • Atmospheric Science 162
  • Global and Planetary Change 36
  • Automotive Engineering 19
Replace Iain C. A. Goodall with:
Iain C. A. Goodall United Kingdom
Mingshuai Zhang China
Sihang Wang China
Shuang Han China
T. L. Riley United States
Eeva Leinala France
Anne Nijs Germany
Richard S. Marano United States
C. V. Hampton United States
Alen Čusak Slovenia
Michael S. Wang relative to Iain C. A. Goodall United Kingdom Iain C. A. Goodall's profile →
Citations per field
00.5×5.1×
Iain C. A. Goodall · 1×
Citations per year

Countries citing papers authored by Michael S. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2017169
2 201971
3 201515
4 202015
5 201911
6 20249
7 20117
8 20147
9 20205
10 20105
11 20242
12 20072
13 20112
14 20142
15
Contributions of nitrated aromatic compounds to the light absorption of water-soluble and particulate brown carbon in different atmospheric environments
20171
16 20181
17 20120

About Michael S. Wang

Michael S. Wang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Molecular Biology, Atmospheric Science and Pharmaceutical Science, having authored 17 papers that have together received 324 indexed citations. Recurring topics across this work include Advanced Photonic Communication Systems (7 papers), Optical Network Technologies (7 papers), Advanced Optical Network Technologies (5 papers), Drug Solubulity and Delivery Systems (2 papers), Atmospheric chemistry and aerosols (2 papers), Enzyme Structure and Function (2 papers), Vehicle emissions and performance (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (133 citations), Pharmaceutical Science (59 citations), Atmospheric Science (162 citations), Global and Planetary Change (36 citations) and Automotive Engineering (19 citations). Michael S. Wang has collaborated with scholars based in United States, Switzerland and Ireland. Frequent co-authors include Zhibin Wang, Hartmut Herrmann, Griša Močnik, Thomas Müller, Dominik van Pinxteren, Monique Teich, Simonas Kecorius, Michael H. Hecht, Wei Xu and Filippos Kesisoglou. Their work appears in journals such as The AAPS Journal, Biotechnology and Applied Biochemistry, Life, Nature Chemistry and Optics Express.

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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