Haining Lin
Impact in
- Plant Science top 1%
- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
- Biochemistry top 5%
Papers in
-
- Genomics and Phylogenetic Studies 7
- Photosynthetic Processes and Mechanisms 3
- Plant Reproductive Biology 2
-
- Chromosomal and Genetic Variations 8
- Plant Disease Resistance and Genetics 5
- Plant Molecular Biology Research 3
- Plant nutrient uptake and metabolism 2
- Co-authors
- C. Robin Buell (13 shared papers)Kevin L. Childs (5 shared papers)Brian J. Haas (4 shared papers)John P. Hamilton (3 shared papers)Jennifer R. Wortman (2 shared papers)Matthew A. Campbell (2 shared papers)Natalia de León (2 shared papers)Shawn M. Kaeppler (2 shared papers)
- Journals
- PLANT PHYSIOLOGY (2 papers)The Plant Cell (2 papers)The Plant Genome (2 papers)The Plant Journal (2 papers)G3 Genes Genomes Genetics (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Haining Lin
19 papers receiving 2.8k citations
Haining Lin's Hit Papers
Peers
Comparison fields: 5 of 87
- Plant Science 2.1k
- Biochemistry 157
- Molecular Biology 1.8k
- Genetics 606
- Agronomy and Crop Science 93
Countries citing papers authored by Haining Lin
This map shows the geographic impact of Haining 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 Haining Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haining Lin more than expected).
Fields of papers citing papers by Haining Lin
This network shows the impact of papers produced by Haining 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 Haining Lin. The network helps show where Haining Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Haining 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
| # | Work | ||
|---|---|---|---|
| 1 | The TIGR Rice Genome Annotation Resource: improvements and new features Hit paper breakdown → | 2006 | 964 |
| 2 | 2011 | 451 | |
| 3 | 2012 | 186 | |
| 4 | 2005 | 163 | |
| 5 | 2013 | 160 | |
| 6 | 2013 | 140 | |
| 7 | 2006 | 129 | |
| 8 | 2013 | 114 | |
| 9 | 2018 | 108 | |
| 10 | 2011 | 107 | |
| 11 | 2011 | 96 | |
| 12 | 2010 | 59 | |
| 13 | 2007 | 58 | |
| 14 | 2008 | 51 | |
| 15 | 2015 | 51 | |
| 16 | 2021 | 8 | |
| 17 | 2024 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2009 | 2 | |
| 20 | 2025 | 1 |
About Haining Lin
Haining Lin is a scholar working on Molecular Biology, Plant Science, Genetics, Food Science and Ecology, Evolution, Behavior and Systematics, having authored 20 papers that have together received 2.9k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (8 papers), Genomics and Phylogenetic Studies (7 papers), Plant Disease Resistance and Genetics (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Plant Molecular Biology Research (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Plant nutrient uptake and metabolism (2 papers) and Plant Reproductive Biology (2 papers). The work is most often cited by research in Plant Science (2.1k citations), Biochemistry (157 citations), Molecular Biology (1.8k citations), Genetics (606 citations) and Agronomy and Crop Science (93 citations). Haining Lin has collaborated with scholars based in United States, Italy and China. Frequent co-authors include C. Robin Buell, Kevin L. Childs, Brian J. Haas, John P. Hamilton, Jennifer R. Wortman, Matthew A. Campbell, Natalia de León, Shawn M. Kaeppler, Rajandeep S. Sekhon and Candice N. Hansey. Their work appears in journals such as PLANT PHYSIOLOGY, The Plant Cell, The Plant Genome, The Plant Journal and G3 Genes Genomes Genetics.
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.