Ya Han
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Immunology top 10%
- Immune cells in cancer
Papers in
-
- Single-cell and spatial transcriptomics 6
- Epigenetics and DNA Methylation 1
- Gene Regulatory Network Analysis 1
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- Cancer Genomics and Diagnostics 5
- Co-authors
- Chenfei Wang (8 shared papers)Dongqing Sun (5 shared papers)Xin Dong (3 shared papers)Taiwen Li (4 shared papers)Jin Wang (2 shared papers)Peng Zhang (3 shared papers)Liangdong Sun (2 shared papers)Yilv Yan (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Genome Medicine (2 papers)Molecular Oncology (1 paper)The EMBO Journal (1 paper)Nature Cancer (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ya Han
8 papers receiving 1.4k citations
Ya Han's Hit Papers
Peers
Comparison fields: 5 of 60
- Cancer Research 253
- Immunology 336
- Oncology 338
- Pulmonary and Respiratory Medicine 343
- Molecular Biology 584
Countries citing papers authored by Ya Han
This map shows the geographic impact of Ya 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 Ya Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Han more than expected).
Fields of papers citing papers by Ya Han
This network shows the impact of papers produced by Ya 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 Ya Han. The network helps show where Ya Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya 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
| # | Work | ||
|---|---|---|---|
| 1 | TISCH: a comprehensive web resource enabling interactive single-cell transcriptome visualization of tumor microenvironment Hit paper breakdown → | 2020 | 725 |
| 2 | TISCH2: expanded datasets and new tools for single-cell transcriptome analyses of the tumor microenvironment Hit paper breakdown → | 2022 | 336 |
| 3 | Tumor microenvironment remodeling after neoadjuvant immunotherapy in non-small cell lung cancer revealed by single-cell RNA sequencing Hit paper breakdown → | 2023 | 175 |
| 4 | 2020 | 126 | |
| 5 | 2023 | 40 | |
| 6 | 2017 | 17 | |
| 7 | 2024 | 7 | |
| 8 | 2025 | 5 | |
| 9 | 2025 | 0 |
About Ya Han
Ya Han is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Surgery, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Cancer Genomics and Diagnostics (5 papers), Immune cells in cancer (3 papers), Cell Image Analysis Techniques (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Gene Regulatory Network Analysis (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Cancer Research (253 citations), Immunology (336 citations), Oncology (338 citations), Pulmonary and Respiratory Medicine (343 citations) and Molecular Biology (584 citations). Ya Han has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chenfei Wang, Dongqing Sun, Xin Dong, Taiwen Li, Jin Wang, Peng Zhang, Liangdong Sun, Yilv Yan, Ziyi Li and Fan Zhang. Their work appears in journals such as Nucleic Acids Research, Genome Medicine, Molecular Oncology, The EMBO Journal and Nature Cancer.
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.