Minghan Wang
Impact in
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
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- Hormonal Regulation and Hypertension
Papers in
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- Hormonal Regulation and Hypertension 23
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- Natural Language Processing Techniques 31
- Topic Modeling 26
- Speech Recognition and Synthesis 13
- Co-authors
- E. A. Gulve (1 shared paper)Stuart A. Ross (1 shared paper)Ki Won Kim (10 shared papers)Michael R. Briggs (1 shared paper)Ti‐Zhi Su (4 shared papers)Dale L. Oxender (4 shared papers)Larissa I. Atangan (2 shared papers)John Y. J. Wu (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (6 papers)Analytical Chemistry (4 papers)Nutrients (3 papers)Assay and Drug Development Technologies (3 papers)FEBS Letters (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Minghan Wang
153 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 170
- Geriatrics and Gerontology 256
- Endocrinology, Diabetes and Metabolism 737
- Molecular Biology 1.8k
- Pharmacology 202
- Biochemistry 161
Countries citing papers authored by Minghan Wang
This map shows the geographic impact of Minghan 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 Minghan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghan Wang more than expected).
Fields of papers citing papers by Minghan Wang
This network shows the impact of papers produced by Minghan 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 Minghan Wang. The network helps show where Minghan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghan Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 378 | |
| 2 | 2004 | 292 | |
| 3 | 2005 | 232 | |
| 4 | 2012 | 192 | |
| 5 | 2011 | 157 | |
| 6 | 2008 | 134 | |
| 7 | 2003 | 116 | |
| 8 | 2002 | 113 | |
| 9 | 1999 | 108 | |
| 10 | 2018 | 91 | |
| 11 | 2013 | 89 | |
| 12 | 2016 | 80 | |
| 13 | 1999 | 80 | |
| 14 | 2012 | 78 | |
| 15 | 2010 | 77 | |
| 16 | 2019 | 73 | |
| 17 | 2019 | 61 | |
| 18 | 2018 | 59 | |
| 19 | 2003 | 57 | |
| 20 | 2012 | 56 |
About Minghan Wang
Minghan Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Artificial Intelligence, Molecular Biology, Pharmacology and Electrochemistry, having authored 161 papers that have together received 4.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (31 papers), Topic Modeling (26 papers), Hormonal Regulation and Hypertension (23 papers), Speech Recognition and Synthesis (13 papers), Electronic Packaging and Soldering Technologies (11 papers), 3D IC and TSV technologies (9 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Fibroblast Growth Factor Research (7 papers). The work is most often cited by research in Geriatrics and Gerontology (256 citations), Endocrinology, Diabetes and Metabolism (737 citations), Molecular Biology (1.8k citations), Pharmacology (202 citations) and Biochemistry (161 citations). Minghan Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include E. A. Gulve, Stuart A. Ross, Ki Won Kim, Michael R. Briggs, Ti‐Zhi Su, Dale L. Oxender, Larissa I. Atangan, John Y. J. Wu, Dirk Beher and Christopher H. Fotsch. Their work appears in journals such as Journal of Medicinal Chemistry, Analytical Chemistry, Nutrients, Assay and Drug Development Technologies and FEBS 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.