Lichuan Gu
Impact in
- Aging top 2%
- Endocrinology top 2%
Papers in
-
- Bacterial biofilms and quorum sensing 11
- Ion channel regulation and function 6
- DNA Repair Mechanisms 6
- Microbial Metabolic Engineering and Bioproduction 6
- Genetics 24
- Bacterial Genetics and Biotechnology 19
- Co-authors
- Yigong Shi (10 shared papers)Nieng Yan (5 shared papers)Sujuan Xu (38 shared papers)Deyu Zhu (18 shared papers)Shiheng Liu (14 shared papers)Jijie Chai (7 shared papers)Philip D. Jeffrey (2 shared papers)Liang Feng (3 shared papers)
- Journals
- Frontiers in Microbiology (8 papers)Journal of Biological Chemistry (7 papers)Nucleic Acids Research (7 papers)Biochemical and Biophysical Research Communications (6 papers)Nature Structural & Molecular Biology (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lichuan Gu
104 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 132
- Aging 124
- Endocrinology 201
- Molecular Biology 2.2k
- Molecular Medicine 138
- Microbiology 167
Countries citing papers authored by Lichuan Gu
This map shows the geographic impact of Lichuan 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 Lichuan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lichuan Gu more than expected).
Fields of papers citing papers by Lichuan Gu
This network shows the impact of papers produced by Lichuan 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 Lichuan Gu. The network helps show where Lichuan Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lichuan 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 311 | |
| 2 | 2018 | 223 | |
| 3 | 2012 | 210 | |
| 4 | 2006 | 206 | |
| 5 | 2006 | 204 | |
| 6 | 2005 | 188 | |
| 7 | 2004 | 151 | |
| 8 | 2015 | 145 | |
| 9 | 2004 | 140 | |
| 10 | 2007 | 98 | |
| 11 | 2005 | 97 | |
| 12 | 2004 | 90 | |
| 13 | 2011 | 75 | |
| 14 | 2009 | 73 | |
| 15 | 2014 | 72 | |
| 16 | 2008 | 66 | |
| 17 | 2015 | 56 | |
| 18 | 2017 | 52 | |
| 19 | 2018 | 50 | |
| 20 | 2012 | 43 |
About Lichuan Gu
Lichuan Gu is a scholar working on Molecular Biology, Genetics, Endocrinology, Molecular Medicine and Cell Biology, having authored 110 papers that have together received 3.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (19 papers), Enzyme Structure and Function (12 papers), Bacterial biofilms and quorum sensing (11 papers), Antibiotic Resistance in Bacteria (9 papers), Vibrio bacteria research studies (7 papers), Ion channel regulation and function (6 papers), DNA Repair Mechanisms (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). The work is most often cited by research in Aging (124 citations), Endocrinology (201 citations), Molecular Biology (2.2k citations), Molecular Medicine (138 citations) and Microbiology (167 citations). Lichuan Gu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yigong Shi, Nieng Yan, Sujuan Xu, Deyu Zhu, Shiheng Liu, Jijie Chai, Philip D. Jeffrey, Liang Feng, Eric N. Shiozaki and Ning Li. Their work appears in journals such as Frontiers in Microbiology, Journal of Biological Chemistry, Nucleic Acids Research, Biochemical and Biophysical Research Communications and Nature Structural & Molecular Biology.
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.