Hongmei Wang
- Health Informatics top 5%
- Developmental Neuroscience top 10%
- Cell Biology top 5%
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics 3
- Cancer Research top 10%
- NF-κB Signaling Pathways 4
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- COVID-19 diagnosis using AI 6
- Radiomics and Machine Learning in Medical Imaging 5
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- Immune cells in cancer 5
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- Amyotrophic Lateral Sclerosis Research 4
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- Nerve injury and regeneration 4
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- Cell Adhesion Molecules Research 4
- Co-authors
- Subhas ChakrabartyXuebiao YaoHirohito YamaguchiYing‐Nai WangMien‐Chie HungHeng‐Huan LeeHong-Jen LeeZhen Dou
- Journals
- Journal of Cellular Physiology (5 papers)Journal of Biological Chemistry (5 papers)European Journal of Nuclear Medicine and Molecular Imaging (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hongmei Wang
84 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 139
- Health Informatics 41
- Developmental Neuroscience 73
- Cell Biology 275
- Molecular Biology 944
- Cancer Research 195
Countries citing papers authored by Hongmei Wang
This map shows the geographic impact of Hongmei 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 Hongmei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongmei Wang more than expected).
Fields of papers citing papers by Hongmei Wang
This network shows the impact of papers produced by Hongmei 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 Hongmei Wang. The network helps show where Hongmei Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hongmei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 0 | |
| 6 | 2022 | 15 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 74 | |
| 10 | 2020 | 6 | |
| 11 | 2019 | 11 | |
| 12 | 2019 | 21 | |
| 13 | 2019 | 63 | |
| 14 | 2016 | 18 | |
| 15 | 2014 | 14 | |
| 16 | 2012 | 3 | |
| 17 | 2010 | 98 | |
| 18 | Effects of hydroxysafflor yellow A on FFA,NO and iNOS in rats of myocardial infarction | 2009 | 1 |
| 19 | 2003 | 25 | |
| 20 | 1999 | 8 |
About Hongmei Wang
Hongmei Wang is a scholar working on Applied Microbiology and Biotechnology, Cancer Research and Health Informatics, having authored 93 papers that have together received 2.0k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Immune cells in cancer (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Nerve injury and regeneration (4 papers), NF-κB Signaling Pathways (4 papers), Cell Adhesion Molecules Research (4 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Health Informatics (41 citations), Developmental Neuroscience (73 citations) and Cell Biology (275 citations). Hongmei Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Subhas Chakrabarty, Xuebiao Yao, Hirohito Yamaguchi, Ying‐Nai Wang, Mien‐Chie Hung, Heng‐Huan Lee, Hong-Jen Lee, Zhen Dou, Hongyun Huang and Feng Zhang. Their work appears in journals such as Journal of Cellular Physiology, Journal of Biological Chemistry, European Journal of Nuclear Medicine and Molecular Imaging, Oncogene and Cell Transplantation.
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.