Han Cheng
Impact in
- Molecular Biology top 5%
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Plant Gene Expression Analysis
- Ubiquitin and proteasome pathways
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
Papers in
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- Bioinformatics and Genomic Networks 9
- Gene expression and cancer classification 7
- Genomics and Phylogenetic Studies 7
- Plant Gene Expression Analysis 6
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- Plant Molecular Biology Research 7
- Plant nutrient uptake and metabolism 5
- Co-authors
- Zexian Liu (23 shared papers)Yu Xue (14 shared papers)Yongbo Wang (9 shared papers)Wankun Deng (4 shared papers)Jian Ren (7 shared papers)Tianshun Gao (5 shared papers)An‐Yuan Guo (3 shared papers)Kai Yu (6 shared papers)
In The Last Decade
Han Cheng
65 papers receiving 2.2k citations
Han Cheng's Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 1.4k
- Plant Science 526
- Cancer Research 180
- Spectroscopy 133
- Pulmonary and Respiratory Medicine 181
Countries citing papers authored by Han Cheng
This map shows the geographic impact of Han Cheng'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 Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Cheng more than expected).
Fields of papers citing papers by Han Cheng
This network shows the impact of papers produced by Han Cheng. 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 Cheng. The network helps show where Han Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Cheng, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | HemI: A Toolkit for Illustrating Heatmaps Hit paper breakdown → | 2014 | 866 |
| 2 | 2020 | 170 | |
| 3 | 2012 | 161 | |
| 4 | 2013 | 152 | |
| 5 | 2012 | 92 | |
| 6 | 2013 | 57 | |
| 7 | 2013 | 43 | |
| 8 | 2020 | 43 | |
| 9 | 2014 | 41 | |
| 10 | 2021 | 40 | |
| 11 | 2014 | 37 | |
| 12 | 2020 | 35 | |
| 13 | 2020 | 29 | |
| 14 | 2019 | 29 | |
| 15 | 2019 | 28 | |
| 16 | 2020 | 24 | |
| 17 | 2015 | 24 | |
| 18 | 2021 | 22 | |
| 19 | 2020 | 21 | |
| 20 | 2021 | 21 |
About Han Cheng
Han Cheng is a scholar working on Molecular Biology, Plant Science, Genetics, Oncology and Cancer Research, having authored 72 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Plant Molecular Biology Research (7 papers), Gene expression and cancer classification (7 papers), Genomics and Phylogenetic Studies (7 papers), High Altitude and Hypoxia (6 papers), Plant Gene Expression Analysis (6 papers), Plant nutrient uptake and metabolism (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Plant Science (526 citations), Cancer Research (180 citations), Spectroscopy (133 citations) and Pulmonary and Respiratory Medicine (181 citations). Han Cheng has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Zexian Liu, Yu Xue, Yongbo Wang, Wankun Deng, Jian Ren, Tianshun Gao, An‐Yuan Guo, Kai Yu, Zhicheng Pan and Zekun Liu. Their work appears in journals such as Briefings in Bioinformatics, Nucleic Acids Research, Scientific Reports, Genomics Proteomics & Bioinformatics and Plants.
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.