Michael W. Dong

70 total papers · 1.3k total citations
32 papers, 859 citations indexed

About

Michael W. Dong is a scholar working on Spectroscopy, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Michael W. Dong has authored 32 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Spectroscopy, 9 papers in Biomedical Engineering and 7 papers in Molecular Biology. Recurrent topics in Michael W. Dong's work include Analytical Chemistry and Chromatography (18 papers), Analytical Methods in Pharmaceuticals (6 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). Michael W. Dong is often cited by papers focused on Analytical Chemistry and Chromatography (18 papers), Analytical Methods in Pharmaceuticals (6 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). Michael W. Dong collaborates with scholars based in United States and Switzerland. Michael W. Dong's co-authors include Satinder Ahuja, David C. Locke, Dietrich Hoffmann, Kelly Zhang, John G. Atwood, J. L. DiCesare, Davy Guillarme, Stephen S. Hecht, J.R. Gant and Irwin Schmeltz and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and JNCI Journal of the National Cancer Institute.

In The Last Decade

Michael W. Dong

26 papers receiving 723 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael W. Dong 396 266 197 184 102 32 859
Raphaël Delépée 241 0.6× 229 0.9× 252 1.3× 175 1.0× 107 1.0× 55 892
A Cailleux 225 0.6× 146 0.5× 175 0.9× 186 1.0× 51 0.5× 44 918
Mario Reta 422 1.1× 337 1.3× 234 1.2× 108 0.6× 42 0.4× 42 868
Alireza S. Kord 515 1.3× 375 1.4× 193 1.0× 155 0.8× 28 0.3× 23 826
A. De Leenheer 276 0.7× 265 1.0× 101 0.5× 154 0.8× 172 1.7× 34 896
T.A. Gough 251 0.6× 138 0.5× 233 1.2× 215 1.2× 294 2.9× 72 1.0k
Meng Mei 369 0.9× 538 2.0× 128 0.6× 179 1.0× 100 1.0× 32 974
Sarath R. Sirimanne 270 0.7× 161 0.6× 192 1.0× 143 0.8× 53 0.5× 25 819
Joan T. Bursey 486 1.2× 119 0.4× 103 0.5× 95 0.5× 107 1.0× 25 857
E. Tyihák 204 0.5× 120 0.5× 157 0.8× 416 2.3× 88 0.9× 63 983

Countries citing papers authored by Michael W. Dong

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael W. Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Dong. A scholar is included among the top collaborators of Michael W. Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael W. Dong. Michael W. Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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