Xiaoping Han
Impact in
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- Single-cell and spatial transcriptomics
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Gene Regulatory Network Analysis
Papers in
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- Single-cell and spatial transcriptomics 13
- Pluripotent Stem Cells Research 4
- Genomics and Chromatin Dynamics 4
- Gene Regulatory Network Analysis 3
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- Acute Myeloid Leukemia Research 6
- Co-authors
- Guoji Guo (19 shared papers)Haide Chen (10 shared papers)Guo‐Cheng Yuan (4 shared papers)Lijiang Fei (6 shared papers)Jingjing Wang (8 shared papers)Daosheng Huang (3 shared papers)Mengmeng Jiang (10 shared papers)Shujing Lai (5 shared papers)
- Journals
- Cell Discovery (3 papers)Frontiers in Endocrinology (3 papers)Frontiers in Oncology (2 papers)Cell Reports (2 papers)Infection and Immunity (1 paper)
- Partner nations
- ChinaIndiaUnited States
In The Last Decade
Xiaoping Han
40 papers receiving 547 citations
Peers
Comparison fields: 5 of 97
- Aging 10
- Molecular Biology 347
- Biophysics 25
- Hematology 44
- Cancer Research 53
Countries citing papers authored by Xiaoping Han
This map shows the geographic impact of Xiaoping Han'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 Xiaoping Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Han more than expected).
Fields of papers citing papers by Xiaoping Han
This network shows the impact of papers produced by Xiaoping Han. 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 Xiaoping Han. The network helps show where Xiaoping Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping Han, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 79 | |
| 2 | 2017 | 62 | |
| 3 | 2022 | 60 | |
| 4 | 2016 | 60 | |
| 5 | 2021 | 55 | |
| 6 | 2021 | 53 | |
| 7 | 2012 | 25 | |
| 8 | 2007 | 19 | |
| 9 | 2018 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2024 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2014 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2021 | 6 | |
| 18 | 2016 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2024 | 5 |
About Xiaoping Han
Xiaoping Han is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Immunology, having authored 43 papers that have together received 557 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (13 papers), Acute Myeloid Leukemia Research (6 papers), Pluripotent Stem Cells Research (4 papers), Genomics and Chromatin Dynamics (4 papers), Inflammatory Bowel Disease (3 papers), Cell Image Analysis Techniques (3 papers), Gene Regulatory Network Analysis (3 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Aging (10 citations), Molecular Biology (347 citations), Biophysics (25 citations), Hematology (44 citations) and Cancer Research (53 citations). Xiaoping Han has collaborated with scholars based in China, India and United States. Frequent co-authors include Guoji Guo, Haide Chen, Guo‐Cheng Yuan, Lijiang Fei, Jingjing Wang, Daosheng Huang, Mengmeng Jiang, Shujing Lai, He Huang and Luca Pinello. Their work appears in journals such as Cell Discovery, Frontiers in Endocrinology, Frontiers in Oncology, Cell Reports and Infection and Immunity.
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.