Han Han
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Biophysics top 1%
- Cell Image Analysis Techniques
Papers in
- Cell Biology 18
- Hippo pathway signaling and YAP/TAZ 15
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Co-authors
- Peter A. Jones (6 shared papers)Gangning Liang (7 shared papers)Xiaojing Yang (5 shared papers)Daniel Diniz De Carvalho (2 shared papers)Fides D. Lay (2 shared papers)Trevor J. Pugh (1 shared paper)Helen Loo Yau (1 shared paper)Shu Yi Shen (1 shared paper)
- Journals
- Nature Communications (6 papers)The EMBO Journal (3 papers)Cell Reports (2 papers)PLoS ONE (2 papers)Physiologia Plantarum (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Han Han
105 papers receiving 5.4k citations
Han Han's Hit Papers
Peers
Comparison fields: 5 of 124
- Cancer Research 589
- Biophysics 282
- Molecular Biology 2.5k
- Oncology 640
- Cell Biology 297
Countries citing papers authored by Han Han
This map shows the geographic impact of Han 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 Han Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Han more than expected).
Fields of papers citing papers by Han Han
This network shows the impact of papers produced by Han 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 Han Han. The network helps show where Han Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Han 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DNA-Demethylating Agents Target Colorectal Cancer Cells by Inducing Viral Mimicry by Endogenous Transcripts Hit paper breakdown → | 2015 | 1177 |
| 2 | Gene Body Methylation Can Alter Gene Expression and Is a Therapeutic Target in Cancer Hit paper breakdown → | 2014 | 928 |
| 3 | Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes Hit paper breakdown → | 2016 | 717 |
| 4 | 2010 | 266 | |
| 5 | 2017 | 166 | |
| 6 | 2019 | 164 | |
| 7 | 2009 | 161 | |
| 8 | 2011 | 157 | |
| 9 | 2008 | 109 | |
| 10 | 2013 | 85 | |
| 11 | 2018 | 85 | |
| 12 | 2019 | 74 | |
| 13 | 2017 | 71 | |
| 14 | 2009 | 63 | |
| 15 | 2007 | 55 | |
| 16 | 2022 | 51 | |
| 17 | 2010 | 49 | |
| 18 | 2022 | 49 | |
| 19 | 2014 | 48 | |
| 20 | 2020 | 48 |
About Han Han
Han Han is a scholar working on Cell Biology, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 111 papers that have together received 5.5k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (15 papers), Epigenetics and DNA Methylation (9 papers), Vitamin D Research Studies (7 papers), Lung Cancer Treatments and Mutations (6 papers), Plant Molecular Biology Research (5 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers) and Retinal and Macular Surgery (3 papers). The work is most often cited by research in Cancer Research (589 citations), Biophysics (282 citations), Molecular Biology (2.5k citations), Oncology (640 citations) and Cell Biology (297 citations). Han Han has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Peter A. Jones, Gangning Liang, Xiaojing Yang, Daniel Diniz De Carvalho, Fides D. Lay, Trevor J. Pugh, Helen Loo Yau, Shu Yi Shen, David Roulois and Rajat Singhania. Their work appears in journals such as Nature Communications, The EMBO Journal, Cell Reports, PLoS ONE and Physiologia Plantarum.
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.