Xiaoming Hu
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Biophysics top 2%
- Cell Image Analysis Techniques
Papers in
-
- Single-cell and spatial transcriptomics 5
- RNA Research and Splicing 3
- Pluripotent Stem Cells Research 2
- Renal and related cancers 2
- Genetics 2
- Animal Genetics and Reproduction 1
- Co-authors
- Iain C. Macaulay (3 shared papers)Chris P. Ponting (2 shared papers)Mabel Teng (2 shared papers)Thierry Voet (2 shared papers)Sébastien A. Smallwood (1 shared paper)Heather Lee (1 shared paper)Oliver Stegle (1 shared paper)Stephen J. Clark (1 shared paper)
- Journals
- Nature Methods (2 papers)Medicine (1 paper)BioMed Research International (1 paper)Virtual Reality (1 paper)Mechanisms of Development (1 paper)
- Partner nations
- United KingdomSingaporeUnited States
In The Last Decade
Xiaoming Hu
13 papers receiving 1.7k citations
Xiaoming Hu's Hit Papers
Peers
Comparison fields: 5 of 94
- Cancer Research 397
- Biophysics 139
- Molecular Biology 1.4k
- Developmental Neuroscience 68
- Neurology 58
Countries citing papers authored by Xiaoming Hu
This map shows the geographic impact of Xiaoming Hu'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 Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoming Hu more than expected).
Fields of papers citing papers by Xiaoming Hu
This network shows the impact of papers produced by Xiaoming Hu. 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 Hu. The network helps show where Xiaoming Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoming Hu, 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 | G&T-seq: parallel sequencing of single-cell genomes and transcriptomes Hit paper breakdown → | 2015 | 536 |
| 2 | Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity Hit paper breakdown → | 2016 | 514 |
| 3 | 2015 | 345 | |
| 4 | 2018 | 157 | |
| 5 | 2016 | 45 | |
| 6 | 2018 | 42 | |
| 7 | 2013 | 15 | |
| 8 | 2023 | 13 | |
| 9 | 2017 | 12 | |
| 10 | 2009 | 4 | |
| 11 | 2017 | 3 | |
| 12 | 2017 | 2 | |
| 13 | 1995 | 1 | |
| 14 | 2024 | 0 |
About Xiaoming Hu
Xiaoming Hu is a scholar working on Molecular Biology, Genetics, Cancer Research, Pathology and Forensic Medicine and Dermatology, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), RNA Research and Splicing (3 papers), Pluripotent Stem Cells Research (2 papers), Renal and related cancers (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper), Chemical Synthesis and Characterization (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Cancer Research (397 citations), Biophysics (139 citations), Molecular Biology (1.4k citations), Developmental Neuroscience (68 citations) and Neurology (58 citations). Xiaoming Hu has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Iain C. Macaulay, Chris P. Ponting, Mabel Teng, Thierry Voet, Sébastien A. Smallwood, Heather Lee, Oliver Stegle, Stephen J. Clark, Gavin Kelsey and Wolf Reik. Their work appears in journals such as Nature Methods, Medicine, BioMed Research International, Virtual Reality and Mechanisms of Development.
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.