Miao Han
Impact in
- Horticulture top 5%
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Genetics 15
- Advances in Cucurbitaceae Research 10
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- RNA Research and Splicing 3
- RNA modifications and cancer 3
- Co-authors
- Ting Ni (7 shared papers)Gang Wei (5 shared papers)Ting Shen (3 shared papers)Liyun Guo (3 shared papers)Francine Govers (2 shared papers)Wei Song (1 shared paper)Rosario Blanco‐Portales (1 shared paper)Klaas Bouwmeester (1 shared paper)
- Journals
- Protein & Cell (2 papers)Aquaculture (2 papers)Fish & Shellfish Immunology (2 papers)Scientific Reports (1 paper)BMC Biology (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Miao Han
36 papers receiving 575 citations
Peers
Comparison fields: 5 of 90
- Horticulture 37
- Cancer Research 168
- Molecular Biology 327
- Plant Science 175
- Genetics 95
Countries citing papers authored by Miao Han
This map shows the geographic impact of Miao 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 Miao Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miao Han more than expected).
Fields of papers citing papers by Miao Han
This network shows the impact of papers produced by Miao 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 Miao Han. The network helps show where Miao Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Miao 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 92 | |
| 2 | 2016 | 83 | |
| 3 | 2013 | 77 | |
| 4 | 2016 | 69 | |
| 5 | 2018 | 27 | |
| 6 | 2012 | 22 | |
| 7 | QTL mapping of resistance genes to powdery mildew in cucumber (Cucumis sativus L.). | 2011 | 19 |
| 8 | 2015 | 19 | |
| 9 | 2019 | 17 | |
| 10 | 2022 | 15 | |
| 11 | 2018 | 14 | |
| 12 | 2017 | 13 | |
| 13 | 2013 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2016 | 10 | |
| 16 | Genetic Analysis and Gene Mapping of White Fruit Skin in Cucumber(Cucumis sativus L. ) | 2012 | 8 |
| 17 | QTL analysis for fruit length of cucumber. | 2010 | 7 |
| 18 | 2022 | 7 | |
| 19 | 2022 | 5 | |
| 20 | Genetic Mapping of the Fruit Bitterness Gene（Bt）in Cucumber（Cucumis sativus L.） | 2011 | 5 |
About Miao Han
Miao Han is a scholar working on Genetics, Molecular Biology, Plant Science, Cancer Research and Immunology, having authored 38 papers that have together received 581 indexed citations. Recurring topics across this work include Advances in Cucurbitaceae Research (10 papers), Plant Pathogens and Fungal Diseases (3 papers), Plant Virus Research Studies (3 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers) and Aquaculture disease management and microbiota (3 papers). The work is most often cited by research in Horticulture (37 citations), Cancer Research (168 citations), Molecular Biology (327 citations), Plant Science (175 citations) and Genetics (95 citations). Miao Han has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Ting Ni, Gang Wei, Ting Shen, Liyun Guo, Francine Govers, Wei Song, Rosario Blanco‐Portales, Klaas Bouwmeester, E.A.G. van der Vossen and R. Weide. Their work appears in journals such as Protein & Cell, Aquaculture, Fish & Shellfish Immunology, Scientific Reports and BMC Biology.
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.