Xiuling Li
Impact in
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
-
- Ubiquitin and proteasome pathways
- Photosynthetic Processes and Mechanisms
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
Papers in
-
- Photosynthetic Processes and Mechanisms 3
- Pluripotent Stem Cells Research 3
- Epigenetics and DNA Methylation 2
-
- Microtubule and mitosis dynamics 3
- Zebrafish Biomedical Research Applications 2
- Co-authors
- Erich A. Nigg (3 shared papers)Francis A. Barr (2 shared papers)Rüdiger Neef (2 shared papers)Ulrike Grüneberg (2 shared papers)Stefan Hümmer (1 shared paper)Sabine Elowe (1 shared paper)Andreas Uldschmid (1 shared paper)Eunice HoYee Chan (1 shared paper)
In The Last Decade
Xiuling Li
15 papers receiving 882 citations
Peers
Comparison fields: 5 of 79
- Cell Biology 633
- Molecular Biology 649
- Aging 11
- Oncology 141
- Reproductive Medicine 32
Countries citing papers authored by Xiuling Li
This map shows the geographic impact of Xiuling Li'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 Xiuling Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiuling Li more than expected).
Fields of papers citing papers by Xiuling Li
This network shows the impact of papers produced by Xiuling Li. 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 Xiuling Li. The network helps show where Xiuling Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiuling Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 254 | |
| 2 | 2006 | 226 | |
| 3 | 2007 | 206 | |
| 4 | 2009 | 44 | |
| 5 | 2011 | 36 | |
| 6 | 2023 | 33 | |
| 7 | 2012 | 29 | |
| 8 | 2021 | 26 | |
| 9 | 2002 | 16 | |
| 10 | 2018 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 |
About Xiuling Li
Xiuling Li is a scholar working on Molecular Biology, Cell Biology, Pharmacology, Genetics and Neurology, having authored 16 papers that have together received 890 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (3 papers), Microtubule and mitosis dynamics (3 papers), Pluripotent Stem Cells Research (3 papers), Epigenetics and DNA Methylation (2 papers), Zebrafish Biomedical Research Applications (2 papers), Pancreatic function and diabetes (1 paper), Ovarian function and disorders (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Cell Biology (633 citations), Molecular Biology (649 citations), Aging (11 citations), Oncology (141 citations) and Reproductive Medicine (32 citations). Xiuling Li has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Erich A. Nigg, Francis A. Barr, Rüdiger Neef, Ulrike Grüneberg, Stefan Hümmer, Sabine Elowe, Andreas Uldschmid, Eunice HoYee Chan, Ravindra B. Chalamalasetty and Robert Kopajtich. Their work appears in journals such as Development, The Journal of Cell Biology, Colloids and Surfaces A Physicochemical and Engineering Aspects, RSC Advances and Cell and Tissue Research.
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.