Lang Wang
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 2%
- Long-Term Effects of COVID-19
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- MicroRNA in disease regulation 4
- Co-authors
- Wenbo He (4 shared papers)Xiaomei Yu (4 shared papers)Dalong Hu (2 shared papers)Hong Jiang (2 shared papers)Jiali Zhou (5 shared papers)Mingwei Bao (4 shared papers)Huafen Liu (3 shared papers)Hongliang Li (12 shared papers)
- Journals
- Molecular and Cellular Biochemistry (3 papers)Journal of Cellular Biochemistry (2 papers)Nature Communications (2 papers)Journal of Neurochemistry (2 papers)Journal of Petroleum Science and Engineering (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lang Wang
60 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Infectious Diseases 647
- Neurology 485
- Neurology 119
- Critical Care and Intensive Care Medicine 73
- Applied Microbiology and Biotechnology 25
Countries citing papers authored by Lang Wang
This map shows the geographic impact of Lang 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 Lang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lang Wang more than expected).
Fields of papers citing papers by Lang Wang
This network shows the impact of papers produced by Lang 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 Lang Wang. The network helps show where Lang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lang 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Coronavirus disease 2019 in elderly patients: Characteristics and prognostic factors based on 4-week follow-up Hit paper breakdown → | 2020 | 849 |
| 2 | 2012 | 105 | |
| 3 | 2013 | 100 | |
| 4 | 2010 | 92 | |
| 5 | 2022 | 62 | |
| 6 | 2010 | 62 | |
| 7 | 2014 | 60 | |
| 8 | 2014 | 55 | |
| 9 | 2009 | 51 | |
| 10 | 2010 | 44 | |
| 11 | 2015 | 44 | |
| 12 | 2008 | 42 | |
| 13 | 2010 | 40 | |
| 14 | 2013 | 37 | |
| 15 | 2023 | 34 | |
| 16 | 2012 | 34 | |
| 17 | 2015 | 34 | |
| 18 | 2010 | 33 | |
| 19 | 2020 | 31 | |
| 20 | 2015 | 31 |
About Lang Wang
Lang Wang is a scholar working on Molecular Biology, Cancer Research, Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine and Artificial Intelligence, having authored 65 papers that have together received 2.2k indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced battery technologies research (4 papers), MicroRNA in disease regulation (4 papers), COVID-19 Clinical Research Studies (4 papers), Cervical Cancer and HPV Research (4 papers), Long-Term Effects of COVID-19 (3 papers) and Advanced Battery Materials and Technologies (3 papers). The work is most often cited by research in Infectious Diseases (647 citations), Neurology (485 citations), Neurology (119 citations), Critical Care and Intensive Care Medicine (73 citations) and Applied Microbiology and Biotechnology (25 citations). Lang Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wenbo He, Xiaomei Yu, Dalong Hu, Hong Jiang, Jiali Zhou, Mingwei Bao, Huafen Liu, Hongliang Li, Lihua Zhu and Ling Yan. Their work appears in journals such as Molecular and Cellular Biochemistry, Journal of Cellular Biochemistry, Nature Communications, Journal of Neurochemistry and Journal of Petroleum Science and Engineering.
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.