Xiaohui Lin
Impact in
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies
- Bacterial biofilms and quorum sensing
- Gene expression and cancer classification
- Clinical Biochemistry top 5%
Papers in
-
- Metabolomics and Mass Spectrometry Studies 41
- Gene expression and cancer classification 20
- Bioinformatics and Genomic Networks 18
- Machine Learning in Bioinformatics 9
- Spectroscopy 16
- Analytical Chemistry and Chromatography 11
- Mass Spectrometry Techniques and Applications 6
- Co-authors
- Guowang Xu (38 shared papers)Peiyuan Yin (14 shared papers)Xin Lu (19 shared papers)Lina Zhou (15 shared papers)Xingyuan Wang (6 shared papers)Quancai Wang (4 shared papers)Xin Lu (5 shared papers)Xinjie Zhao (12 shared papers)
In The Last Decade
Xiaohui Lin
106 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 167
- Molecular Biology 1.4k
- Clinical Biochemistry 120
- Spectroscopy 269
- Cancer Research 215
- Infectious Diseases 227
Countries citing papers authored by Xiaohui Lin
This map shows the geographic impact of Xiaohui Lin'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 Xiaohui Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Lin more than expected).
Fields of papers citing papers by Xiaohui Lin
This network shows the impact of papers produced by Xiaohui Lin. 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 Xiaohui Lin. The network helps show where Xiaohui Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui Lin, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 170 | |
| 2 | 2012 | 131 | |
| 3 | 2008 | 130 | |
| 4 | 2018 | 116 | |
| 5 | 2017 | 95 | |
| 6 | 2015 | 92 | |
| 7 | 2012 | 86 | |
| 8 | 2013 | 84 | |
| 9 | 2016 | 80 | |
| 10 | 2019 | 62 | |
| 11 | 2016 | 48 | |
| 12 | 2011 | 48 | |
| 13 | 2019 | 47 | |
| 14 | 2022 | 41 | |
| 15 | 2015 | 41 | |
| 16 | 2020 | 40 | |
| 17 | 2013 | 40 | |
| 18 | 2015 | 39 | |
| 19 | 2014 | 39 | |
| 20 | 2018 | 38 |
About Xiaohui Lin
Xiaohui Lin is a scholar working on Molecular Biology, Spectroscopy, Plant Science, Biomedical Engineering and Computational Theory and Mathematics, having authored 116 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (41 papers), Gene expression and cancer classification (20 papers), Bioinformatics and Genomic Networks (18 papers), Analytical Chemistry and Chromatography (11 papers), Computational Drug Discovery Methods (11 papers), Machine Learning in Bioinformatics (9 papers), Advanced Chemical Sensor Technologies (8 papers) and Mass Spectrometry Techniques and Applications (6 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Clinical Biochemistry (120 citations), Spectroscopy (269 citations), Cancer Research (215 citations) and Infectious Diseases (227 citations). Xiaohui Lin has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Guowang Xu, Peiyuan Yin, Xin Lu, Lina Zhou, Xingyuan Wang, Quancai Wang, Xin Lu, Xinjie Zhao, Chao Li and Hao Zhang. Their work appears in journals such as Analytical Chemistry, Scientific Reports, Analytica Chimica Acta, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Analytical and Bioanalytical Chemistry.
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.