Xiaomin Lou
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Metabolomics and Mass Spectrometry Studies 5
-
- COVID-19 and Mental Health 8
- Co-authors
- Siqi Liu (32 shared papers)Ningzhi Xu (15 shared papers)Ju Zhang (12 shared papers)Qiang Shan (6 shared papers)Siyuan Su (7 shared papers)D. Joshua Liao (4 shared papers)Yingying Xie (7 shared papers)Lin Wu (8 shared papers)
- Journals
- Journal of Proteome Research (5 papers)Molecular & Cellular Proteomics (3 papers)Journal of Psychosomatic Research (3 papers)Journal of Proteomics (3 papers)Frontiers in Public Health (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaomin Lou
66 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 138
- Cancer Research 201
- Spectroscopy 127
- Molecular Biology 528
- Cell Biology 103
- Oncology 152
Countries citing papers authored by Xiaomin Lou
This map shows the geographic impact of Xiaomin Lou'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 Xiaomin Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomin Lou more than expected).
Fields of papers citing papers by Xiaomin Lou
This network shows the impact of papers produced by Xiaomin Lou. 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 Xiaomin Lou. The network helps show where Xiaomin Lou may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaomin Lou, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 69 | |
| 2 | 2014 | 63 | |
| 3 | 2007 | 55 | |
| 4 | 2014 | 50 | |
| 5 | 2017 | 43 | |
| 6 | 2015 | 42 | |
| 7 | 2009 | 40 | |
| 8 | 2013 | 38 | |
| 9 | 2012 | 37 | |
| 10 | 2018 | 35 | |
| 11 | 2018 | 34 | |
| 12 | 2014 | 34 | |
| 13 | 2015 | 28 | |
| 14 | 2015 | 27 | |
| 15 | 2018 | 24 | |
| 16 | 2021 | 21 | |
| 17 | 2016 | 20 | |
| 18 | 2013 | 20 | |
| 19 | 2013 | 19 | |
| 20 | 2014 | 19 |
About Xiaomin Lou
Xiaomin Lou is a scholar working on Molecular Biology, Clinical Psychology, Experimental and Cognitive Psychology, Spectroscopy and Pulmonary and Respiratory Medicine, having authored 70 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (11 papers), Obesity, Physical Activity, Diet (8 papers), COVID-19 and Mental Health (8 papers), Sleep and related disorders (6 papers), Glycosylation and Glycoproteins Research (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Respiratory and Cough-Related Research (5 papers). The work is most often cited by research in Cancer Research (201 citations), Spectroscopy (127 citations), Molecular Biology (528 citations), Cell Biology (103 citations) and Oncology (152 citations). Xiaomin Lou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Siqi Liu, Ningzhi Xu, Ju Zhang, Qiang Shan, Siyuan Su, D. Joshua Liao, Yingying Xie, Lin Wu, Guixue Hou and Jin Zi. Their work appears in journals such as Journal of Proteome Research, Molecular & Cellular Proteomics, Journal of Psychosomatic Research, Journal of Proteomics and Frontiers in Public Health.
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.