Xiaoming Zhan
Impact in
- Molecular Biology top 5%
- Wnt/β-catenin signaling in development and cancer
- RNA and protein synthesis mechanisms
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Genetics top 5%
- Bacterial Genetics and Biotechnology
Papers in
-
- Endoplasmic Reticulum Stress and Disease 5
- Immunology 10
- Immune Response and Inflammation 6
- Co-authors
- George GeorgiouJunjun GaoBruce BeutlerJiang WuStanley N. CohenKangseok LeeArie AboNenad Tomas̆ević
- Journals
- Proceedings of the National Academy of Sciences (14 papers)Disease Models & Mechanisms (3 papers)Nature Communications (2 papers)Molecular Biology of the Cell (2 papers)Molecular Microbiology (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Xiaoming Zhan
40 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.4k
- Genetics 535
- Immunology 306
- Cell Biology 137
- Cancer Research 120
Countries citing papers authored by Xiaoming Zhan
This map shows the geographic impact of Xiaoming Zhan'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 Xiaoming Zhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoming Zhan more than expected).
Fields of papers citing papers by Xiaoming Zhan
This network shows the impact of papers produced by Xiaoming Zhan. 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 Xiaoming Zhan. The network helps show where Xiaoming Zhan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoming Zhan, 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 | 2023 | 2 | |
| 2 | 2022 | 8 | |
| 3 | 2022 | 9 | |
| 4 | 2021 | 59 | |
| 5 | 2021 | 30 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2019 | 17 | |
| 10 | 2019 | 8 | |
| 11 | 2018 | 9 | |
| 12 | 2018 | 5 | |
| 13 | 2017 | 40 | |
| 14 | 2016 | 33 | |
| 15 | 2016 | 135 | |
| 16 | 2015 | 17 | |
| 17 | 2014 | 80 | |
| 18 | 2009 | 19 | |
| 19 | 2007 | 100 | |
| 20 | 2003 | 3 |
About Xiaoming Zhan
Xiaoming Zhan is a scholar working on Cell Biology, Immunology, Molecular Biology, Genetics and Physiology, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Chromatin Remodeling and Cancer (6 papers), Hedgehog Signaling Pathway Studies (6 papers), Immune Response and Inflammation (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Genetics (535 citations), Immunology (306 citations), Cell Biology (137 citations) and Cancer Research (120 citations). Xiaoming Zhan has collaborated with scholars based in United States, France and Japan. Frequent co-authors include George Georgiou, Junjun Gao, Bruce Beutler, Jiang Wu, Stanley N. Cohen, Kangseok Lee, Arie Abo, Nenad Tomas̆ević, Kyung-Ah Kim and Minke E. Binnerts. Their work appears in journals such as Proceedings of the National Academy of Sciences, Disease Models & Mechanisms, Nature Communications, Molecular Biology of the Cell and Molecular Microbiology.
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.