Wenna Wang
Impact in
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- Municipal Solid Waste Management
- Recycling and Waste Management Techniques
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- Breast Cancer Treatment Studies
Papers in
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- Municipal Solid Waste Management 6
- Recycling and Waste Management Techniques 4
- Oncology 7
- HER2/EGFR in Cancer Research 3
- Co-authors
- Zhujie Chu (6 shared papers)Wei‐Chiao Huang (2 shared papers)Xiaoyi Yang (1 shared paper)John H. Zhang (5 shared papers)Jiping Tang (5 shared papers)Binghe Xu (5 shared papers)Min Yan (2 shared papers)Jinwei Pang (2 shared papers)
- Journals
- Experimental Neurology (2 papers)Journal of Clinical Oncology (2 papers)Waste Management (2 papers)Dalton Transactions (2 papers)Journal of Neuroinflammation (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wenna Wang
37 papers receiving 758 citations
Peers
Comparison fields: 5 of 133
- Industrial and Manufacturing Engineering 130
- Cancer Research 102
- Neurology 57
- Water Science and Technology 62
- Biological Psychiatry 9
Countries citing papers authored by Wenna Wang
This map shows the geographic impact of Wenna 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 Wenna Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenna Wang more than expected).
Fields of papers citing papers by Wenna Wang
This network shows the impact of papers produced by Wenna 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 Wenna Wang. The network helps show where Wenna Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenna 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 131 | |
| 2 | 2018 | 89 | |
| 3 | 2008 | 69 | |
| 4 | 2020 | 56 | |
| 5 | 2019 | 50 | |
| 6 | 2020 | 46 | |
| 7 | 2017 | 42 | |
| 8 | 2021 | 37 | |
| 9 | 2021 | 33 | |
| 10 | 2021 | 26 | |
| 11 | 2016 | 23 | |
| 12 | 2018 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2023 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2020 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2014 | 10 | |
| 19 | 2013 | 9 | |
| 20 | 2021 | 9 |
About Wenna Wang
Wenna Wang is a scholar working on Industrial and Manufacturing Engineering, Oncology, Electrical and Electronic Engineering, Cancer Research and Molecular Biology, having authored 40 papers that have together received 772 indexed citations. Recurring topics across this work include Municipal Solid Waste Management (6 papers), Recycling and Waste Management Techniques (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Breast Cancer Treatment Studies (3 papers), HER2/EGFR in Cancer Research (3 papers), High-Voltage Power Transmission Systems (3 papers), Cancer Genomics and Diagnostics (3 papers) and Power Systems and Renewable Energy (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (130 citations), Cancer Research (102 citations), Neurology (57 citations), Water Science and Technology (62 citations) and Biological Psychiatry (9 citations). Wenna Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhujie Chu, Wei‐Chiao Huang, Xiaoyi Yang, John H. Zhang, Jiping Tang, Binghe Xu, Min Yan, Jinwei Pang, Nathanael Matei and Shengpan Chen. Their work appears in journals such as Experimental Neurology, Journal of Clinical Oncology, Waste Management, Dalton Transactions and Journal of Neuroinflammation.
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.