Wei Gu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Circular RNAs in diseases
Papers in
-
- Protein Structure and Dynamics 12
- Circular RNAs in diseases 4
-
- Spectroscopy and Quantum Chemical Studies 7
- Co-authors
- Volkhard Helms (19 shared papers)Mazen Ahmad (3 shared papers)Tihamér Geyer (4 shared papers)Tomaso Frigato (3 shared papers)Arun Venkatnathan (1 shared paper)Ram Devanathan (1 shared paper)Michel Dupuis (1 shared paper)Roger Rousseau (1 shared paper)
- Journals
- The Journal of Physical Chemistry B (3 papers)Angewandte Chemie International Edition (3 papers)Bioinformatics (2 papers)Journal of Alzheimer s Disease (2 papers)Scientific Data (2 papers)
- Partner nations
- GermanyChinaLuxembourg
In The Last Decade
Wei Gu
61 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 134
- Cancer Research 156
- Molecular Biology 705
- Physical and Theoretical Chemistry 56
- Atomic and Molecular Physics, and Optics 152
- Neurology 36
Countries citing papers authored by Wei Gu
This map shows the geographic impact of Wei Gu'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 Wei Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Gu more than expected).
Fields of papers citing papers by Wei Gu
This network shows the impact of papers produced by Wei Gu. 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 Wei Gu. The network helps show where Wei Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Gu, 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 | 2011 | 130 | |
| 2 | 2010 | 128 | |
| 3 | 2016 | 105 | |
| 4 | 2008 | 74 | |
| 5 | 2003 | 63 | |
| 6 | 2005 | 61 | |
| 7 | 2011 | 54 | |
| 8 | 1995 | 50 | |
| 9 | 2018 | 50 | |
| 10 | 2018 | 43 | |
| 11 | 1994 | 39 | |
| 12 | 2016 | 38 | |
| 13 | 2015 | 28 | |
| 14 | 2004 | 27 | |
| 15 | 2011 | 23 | |
| 16 | 2013 | 23 | |
| 17 | 2005 | 22 | |
| 18 | 1992 | 21 | |
| 19 | 2019 | 21 | |
| 20 | 2010 | 20 |
About Wei Gu
Wei Gu is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Cancer Research, Materials Chemistry and Physiology, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Spectroscopy and Quantum Chemical Studies (7 papers), MicroRNA in disease regulation (7 papers), Enzyme Structure and Function (4 papers), Scientific Computing and Data Management (4 papers), Fuel Cells and Related Materials (4 papers), Circular RNAs in diseases (4 papers) and Invertebrate Immune Response Mechanisms (3 papers). The work is most often cited by research in Cancer Research (156 citations), Molecular Biology (705 citations), Physical and Theoretical Chemistry (56 citations), Atomic and Molecular Physics, and Optics (152 citations) and Neurology (36 citations). Wei Gu has collaborated with scholars based in Germany, China and Luxembourg. Frequent co-authors include Volkhard Helms, Mazen Ahmad, Tihamér Geyer, Tomaso Frigato, Arun Venkatnathan, Ram Devanathan, Michel Dupuis, Roger Rousseau, John W. Brady and Haiping Fang. Their work appears in journals such as The Journal of Physical Chemistry B, Angewandte Chemie International Edition, Bioinformatics, Journal of Alzheimer s Disease and Scientific Data.
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.