Hai Lin
Impact in
- Plant Science top 5%
- Wheat and Barley Genetics and Pathology
- Rice Cultivation and Yield Improvement
- Genetics and Plant Breeding
- Plant Molecular Biology Research
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- RNA Research and Splicing 7
- RNA modifications and cancer 7
- RNA and protein synthesis mechanisms 5
- Circular RNAs in diseases 4
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- Research in Cotton Cultivation 9
- Wheat and Barley Genetics and Pathology 4
- Co-authors
- Yunlong Liu (9 shared papers)Huijun Guo (2 shared papers)Xinke Zhou (4 shared papers)Zhiqiang Xu (2 shared papers)D.N. Cooper (3 shared papers)Yaoqi Zhou (3 shared papers)Zhaoyu Liu (3 shared papers)Lianguang Shang (5 shared papers)
- Journals
- Industrial Crops and Products (3 papers)PLoS ONE (3 papers)Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology (2 papers)Euphytica (2 papers)Genome biology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hai Lin
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 126
- Plant Science 494
- Genetics 305
- Cancer Research 140
- Agronomy and Crop Science 83
- Molecular Biology 499
Countries citing papers authored by Hai Lin
This map shows the geographic impact of Hai Lin'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 Hai Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Lin more than expected).
Fields of papers citing papers by Hai Lin
This network shows the impact of papers produced by Hai Lin. 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 Hai Lin. The network helps show where Hai Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Lin, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 119 | |
| 2 | 2015 | 119 | |
| 3 | 2005 | 68 | |
| 4 | 2019 | 67 | |
| 5 | 2015 | 57 | |
| 6 | 2013 | 57 | |
| 7 | 2008 | 52 | |
| 8 | 2014 | 47 | |
| 9 | 2002 | 43 | |
| 10 | 2021 | 42 | |
| 11 | 2019 | 41 | |
| 12 | 2012 | 40 | |
| 13 | 2021 | 39 | |
| 14 | 2019 | 38 | |
| 15 | 2021 | 35 | |
| 16 | 2019 | 28 | |
| 17 | 2021 | 28 | |
| 18 | 2018 | 26 | |
| 19 | 2017 | 25 | |
| 20 | 2019 | 18 |
About Hai Lin
Hai Lin is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Endocrinology, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (9 papers), RNA Research and Splicing (7 papers), RNA modifications and cancer (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Plant and Fungal Interactions Research (5 papers), RNA and protein synthesis mechanisms (5 papers), Circular RNAs in diseases (4 papers) and Wheat and Barley Genetics and Pathology (4 papers). The work is most often cited by research in Plant Science (494 citations), Genetics (305 citations), Cancer Research (140 citations), Agronomy and Crop Science (83 citations) and Molecular Biology (499 citations). Hai Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yunlong Liu, Huijun Guo, Xinke Zhou, Zhiqiang Xu, D.N. Cooper, Yaoqi Zhou, Zhaoyu Liu, Lianguang Shang, Min Liang and Matthew Mort. Their work appears in journals such as Industrial Crops and Products, PLoS ONE, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Euphytica and Genome 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.