Sujuan Xu
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Bacterial biofilms and quorum sensing 6
- Ion channel regulation and function 4
- Protein Structure and Dynamics 3
- Genetics 14
- Bacterial Genetics and Biotechnology 10
- Venomous Animal Envenomation and Studies 4
- Co-authors
- Lichuan Gu (36 shared papers)Ann Stock (2 shared papers)Peter Lobel (2 shared papers)Deyu Zhu (12 shared papers)Ning Li (8 shared papers)B. Benoff (1 shared paper)Defen Lu (6 shared papers)Yan Huang (12 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Biochemical and Biophysical Research Communications (6 papers)Frontiers in Microbiology (3 papers)Journal of Structural Biology (2 papers)Biochemical Journal (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Sujuan Xu
39 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Endocrinology 120
- Molecular Medicine 81
- Physiology 58
- Immunology 240
- Molecular Biology 540
Countries citing papers authored by Sujuan Xu
This map shows the geographic impact of Sujuan Xu'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 Sujuan Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujuan Xu more than expected).
Fields of papers citing papers by Sujuan Xu
This network shows the impact of papers produced by Sujuan Xu. 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 Sujuan Xu. The network helps show where Sujuan Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sujuan Xu, 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 | 2012 | 189 | |
| 2 | 2007 | 171 | |
| 3 | 2006 | 99 | |
| 4 | 2011 | 66 | |
| 5 | 2018 | 47 | |
| 6 | 2012 | 37 | |
| 7 | 2014 | 31 | |
| 8 | 2012 | 30 | |
| 9 | 2015 | 29 | |
| 10 | 2020 | 28 | |
| 11 | 2012 | 27 | |
| 12 | 2019 | 25 | |
| 13 | 2014 | 23 | |
| 14 | 2018 | 20 | |
| 15 | 2012 | 20 | |
| 16 | 2017 | 19 | |
| 17 | 2012 | 16 | |
| 18 | 2017 | 16 | |
| 19 | 2016 | 13 | |
| 20 | 2002 | 12 |
About Sujuan Xu
Sujuan Xu is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Endocrinology and Materials Chemistry, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (10 papers), Antibiotic Resistance in Bacteria (8 papers), Vibrio bacteria research studies (7 papers), Enzyme Structure and Function (7 papers), Bacterial biofilms and quorum sensing (6 papers), Ion channel regulation and function (4 papers), Venomous Animal Envenomation and Studies (4 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Endocrinology (120 citations), Molecular Medicine (81 citations), Physiology (58 citations), Immunology (240 citations) and Molecular Biology (540 citations). Sujuan Xu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lichuan Gu, Ann Stock, Peter Lobel, Deyu Zhu, Ning Li, B. Benoff, Defen Lu, Yan Huang, Guijun Shang and Qian Yu. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Frontiers in Microbiology, Journal of Structural Biology and Biochemical Journal.
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.