Han Han
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 2%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Cancer-related gene regulation
- Histone Deacetylase Inhibitors Research
- RNA Research and Splicing
Papers in
- Cell Biology 19
- Hippo pathway signaling and YAP/TAZ 15
-
- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 6
- Co-authors
- Peter A. JonesGangning LiangXiaojing YangDaniel D. De CarvalhoFides D. LayTrevor J. PughDavid RouloisShu Yi Shen
- Journals
- Cancer Research (3 papers)The EMBO Journal (3 papers)Journal of Integrative Plant Biology (2 papers)Nature Communications (2 papers)Cell Reports (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Han Han
95 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cancer Research 848
- Molecular Biology 3.0k
- Immunology 572
- Cell Biology 361
- Oncology 546
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 1 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 22 | |
| 14 | 2019 | 14 | |
| 15 | 2017 | 52 | |
| 16 | 2017 | 14 | |
| 17 | 2014 | 44 | |
| 18 | 2014 | 10 | |
| 19 | 2009 | 144 | |
| 20 | 2006 | 1 |
About Han Han
Han Han is a scholar working on Cell Biology, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Hematology, having authored 105 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (15 papers), Epigenetics and DNA Methylation (11 papers), RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (9 papers), Vitamin D Research Studies (7 papers), Photosynthetic Processes and Mechanisms (6 papers), MicroRNA in disease regulation (6 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Cancer Research (848 citations), Molecular Biology (3.0k citations), Immunology (572 citations), Cell Biology (361 citations) and Oncology (546 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 D. De Carvalho, Fides D. Lay, Trevor J. Pugh, David Roulois, Shu Yi Shen, Catherine O′Brien and Helen Loo Yau. Their work appears in journals such as Cancer Research, The EMBO Journal, Journal of Integrative Plant Biology, Nature Communications and Cell Reports.
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.