Xiulei Mo
Impact in
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
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- CRISPR and Genetic Engineering
- Receptor Mechanisms and Signaling
- Bioinformatics and Genomic Networks
Papers in
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- Receptor Mechanisms and Signaling 4
- Bioinformatics and Genomic Networks 4
- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 2
- Oncology 5
- Co-authors
- Haian Fu (19 shared papers)Ya‐Xiong Tao (5 shared papers)Yuhong Du (13 shared papers)Qiankun Niu (12 shared papers)Andrei A. Ivanov (10 shared papers)Tingxuan Ma (2 shared papers)Min Qui (5 shared papers)Rui Yang (1 shared paper)
- Journals
- Journal of Molecular Cell Biology (6 papers)Progress in molecular biology and translational science (2 papers)Cell chemical biology (2 papers)Bioinformatics (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Xiulei Mo
25 papers receiving 641 citations
Peers
Comparison fields: 5 of 81
- Endocrine and Autonomic Systems 94
- Molecular Biology 400
- Nutrition and Dietetics 85
- Cancer Research 66
- Aging 8
Countries citing papers authored by Xiulei Mo
This map shows the geographic impact of Xiulei Mo'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 Xiulei Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiulei Mo more than expected).
Fields of papers citing papers by Xiulei Mo
This network shows the impact of papers produced by Xiulei Mo. 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 Xiulei Mo. The network helps show where Xiulei Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiulei Mo, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2020 | 92 | |
| 3 | 2013 | 51 | |
| 4 | 2012 | 44 | |
| 5 | 2017 | 38 | |
| 6 | 2018 | 37 | |
| 7 | 2019 | 36 | |
| 8 | 2015 | 30 | |
| 9 | 2013 | 28 | |
| 10 | 2017 | 24 | |
| 11 | 2017 | 23 | |
| 12 | 2016 | 22 | |
| 13 | 2020 | 22 | |
| 14 | 2018 | 16 | |
| 15 | 2014 | 15 | |
| 16 | 2018 | 13 | |
| 17 | 2022 | 11 | |
| 18 | 2012 | 11 | |
| 19 | 2023 | 8 | |
| 20 | 2021 | 7 |
About Xiulei Mo
Xiulei Mo is a scholar working on Molecular Biology, Oncology, Endocrine and Autonomic Systems, Cell Biology and Nutrition and Dietetics, having authored 27 papers that have together received 649 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Bioinformatics and Genomic Networks (4 papers), Regulation of Appetite and Obesity (4 papers), Ubiquitin and proteasome pathways (3 papers), Cancer Genomics and Diagnostics (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (94 citations), Molecular Biology (400 citations), Nutrition and Dietetics (85 citations), Cancer Research (66 citations) and Aging (8 citations). Xiulei Mo has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Haian Fu, Ya‐Xiong Tao, Yuhong Du, Qiankun Niu, Andrei A. Ivanov, Tingxuan Ma, Min Qui, Rui Yang, Cong Tang and Xingnan Li. Their work appears in journals such as Journal of Molecular Cell Biology, Progress in molecular biology and translational science, Cell chemical biology, Bioinformatics and Oncogene.
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.