Ming‐Fei Lang
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Electrochemical Analysis and Applications 6
-
- MicroRNA in disease regulation 6
- Co-authors
- Yanhong Shi (4 shared papers)Guoqiang Sun (3 shared papers)Wendong Li (2 shared papers)LI Sheng-xiu (2 shared papers)Yang Su (2 shared papers)Chunnian Zhao (2 shared papers)Kiyohito Murai (2 shared papers)Jing Sun (14 shared papers)
- Journals
- International Journal of Hydrogen Energy (3 papers)International Journal of Medical Sciences (1 paper)Journal of Neuroendocrinology (1 paper)Chemical Communications (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ming‐Fei Lang
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Developmental Neuroscience 183
- Cancer Research 491
- Molecular Biology 656
- Neurology 62
- Electrochemistry 36
Countries citing papers authored by Ming‐Fei Lang
This map shows the geographic impact of Ming‐Fei Lang'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 Ming‐Fei Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Fei Lang more than expected).
Fields of papers citing papers by Ming‐Fei Lang
This network shows the impact of papers produced by Ming‐Fei Lang. 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 Ming‐Fei Lang. The network helps show where Ming‐Fei Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Fei Lang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 346 | |
| 2 | 2011 | 254 | |
| 3 | 2012 | 100 | |
| 4 | 2011 | 92 | |
| 5 | 2012 | 73 | |
| 6 | 2018 | 44 | |
| 7 | 1993 | 39 | |
| 8 | 2021 | 39 | |
| 9 | 2002 | 29 | |
| 10 | 2020 | 25 | |
| 11 | 2011 | 22 | |
| 12 | 2019 | 16 | |
| 13 | 2013 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2019 | 10 | |
| 16 | 2021 | 8 | |
| 17 | 2007 | 7 | |
| 18 | 2014 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2021 | 5 |
About Ming‐Fei Lang
Ming‐Fei Lang is a scholar working on Electrochemistry, Cancer Research, Developmental Neuroscience, Molecular Biology and Renewable Energy, Sustainability and the Environment, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), Electrochemical Analysis and Applications (6 papers), MicroRNA in disease regulation (6 papers), Electrocatalysts for Energy Conversion (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Single-cell and spatial transcriptomics (3 papers) and Electrochemical sensors and biosensors (3 papers). The work is most often cited by research in Developmental Neuroscience (183 citations), Cancer Research (491 citations), Molecular Biology (656 citations), Neurology (62 citations) and Electrochemistry (36 citations). Ming‐Fei Lang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yanhong Shi, Guoqiang Sun, Wendong Li, LI Sheng-xiu, Yang Su, Chunnian Zhao, Kiyohito Murai, Jing Sun, Heying Zhang and Jason Zunsheng Yin. Their work appears in journals such as International Journal of Hydrogen Energy, International Journal of Medical Sciences, Journal of Neuroendocrinology, Chemical Communications and Nature Communications.
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.