Le Han
Impact in
- Reproductive Medicine top 10%
-
- Advanced biosensing and bioanalysis techniques
- Epigenetics and DNA Methylation
- RNA Interference and Gene Delivery
- DNA and Nucleic Acid Chemistry
- Biochemical and Molecular Research
Papers in
-
- Epigenetics and DNA Methylation 5
- CRISPR and Genetic Engineering 4
- Genomics and Chromatin Dynamics 3
-
- Plant nutrient uptake and metabolism 6
- Plant Stress Responses and Tolerance 5
- Plant responses to water stress 3
- Co-authors
- Yanli Zhang (8 shared papers)Yufang Xu (5 shared papers)Feng Wang (6 shared papers)Xuhong Qian (4 shared papers)Fengzhe Li (4 shared papers)Junichi Taniguchi (6 shared papers)Toshikazu Bando (6 shared papers)Chunmei Yang (1 shared paper)
In The Last Decade
Le Han
34 papers receiving 712 citations
Peers
Comparison fields: 5 of 86
- Reproductive Medicine 46
- Molecular Biology 362
- Cancer Research 63
- Spectroscopy 70
- Agronomy and Crop Science 36
Countries citing papers authored by Le Han
This map shows the geographic impact of Le 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 Le Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Han more than expected).
Fields of papers citing papers by Le Han
This network shows the impact of papers produced by Le 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 Le Han. The network helps show where Le Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Le 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 86 | |
| 2 | 2017 | 62 | |
| 3 | 2017 | 56 | |
| 4 | 2017 | 50 | |
| 5 | 2014 | 48 | |
| 6 | 2015 | 44 | |
| 7 | 2012 | 43 | |
| 8 | 2017 | 43 | |
| 9 | 2014 | 34 | |
| 10 | 2018 | 31 | |
| 11 | 2013 | 28 | |
| 12 | 2015 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 2017 | 21 | |
| 15 | 2016 | 20 | |
| 16 | 2022 | 19 | |
| 17 | 2019 | 17 | |
| 18 | 2013 | 14 | |
| 19 | 2022 | 11 | |
| 20 | 2023 | 9 |
About Le Han
Le Han is a scholar working on Molecular Biology, Plant Science, Epidemiology, Genetics and Surgery, having authored 37 papers that have together received 716 indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (6 papers), Epigenetics and DNA Methylation (5 papers), Plant Stress Responses and Tolerance (5 papers), CRISPR and Genetic Engineering (4 papers), Plant responses to water stress (3 papers), Autophagy in Disease and Therapy (3 papers), Genomics and Chromatin Dynamics (3 papers) and Crop Yield and Soil Fertility (2 papers). The work is most often cited by research in Reproductive Medicine (46 citations), Molecular Biology (362 citations), Cancer Research (63 citations), Spectroscopy (70 citations) and Agronomy and Crop Science (36 citations). Le Han has collaborated with scholars based in China, Japan and Vietnam. Frequent co-authors include Yanli Zhang, Yufang Xu, Feng Wang, Xuhong Qian, Fengzhe Li, Junichi Taniguchi, Toshikazu Bando, Chunmei Yang, Hiroshi Sugiyama and Lin Xu. Their work appears in journals such as Theriogenology, Agricultural Water Management, Journal of Medicinal Chemistry, Angewandte Chemie International Edition and Scientific 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.