Chun Su
Impact in
-
- Plant Diversity and Evolution
- Plant and animal studies
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis
Papers in
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- Genomics and Phylogenetic Studies 12
- Plant and Fungal Species Descriptions 7
- RNA modifications and cancer 4
- Pharmacology 12
- Microbial Natural Products and Biosynthesis 11
- Co-authors
- Struan F.A. Grant (15 shared papers)Andrew D. Wells (14 shared papers)James A. Pippin (11 shared papers)Matthew E. Johnson (10 shared papers)Alessandra Chesi (9 shared papers)Sumei Lu (8 shared papers)Michelle E. Leonard (7 shared papers)Jun Wen (5 shared papers)
- Journals
- Molecular Phylogenetics and Evolution (4 papers)Nature Communications (3 papers)eLife (3 papers)Frontiers in Plant Science (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Chun Su
41 papers receiving 769 citations
Peers
Comparison fields: 5 of 95
- Ecology, Evolution, Behavior and Systematics 124
- Pharmacology 89
- Molecular Biology 378
- Biotechnology 48
- Plant Science 206
Countries citing papers authored by Chun Su
This map shows the geographic impact of Chun Su'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 Chun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Su more than expected).
Fields of papers citing papers by Chun Su
This network shows the impact of papers produced by Chun Su. 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 Chun Su. The network helps show where Chun Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun Su, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 84 | |
| 2 | 2019 | 83 | |
| 3 | 2016 | 61 | |
| 4 | 2020 | 45 | |
| 5 | 2021 | 41 | |
| 6 | 2022 | 37 | |
| 7 | 2020 | 37 | |
| 8 | 2021 | 36 | |
| 9 | 2019 | 35 | |
| 10 | 2020 | 28 | |
| 11 | 2013 | 26 | |
| 12 | 2022 | 22 | |
| 13 | 2014 | 21 | |
| 14 | 2018 | 20 | |
| 15 | 2021 | 17 | |
| 16 | 2020 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2021 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2019 | 12 |
About Chun Su
Chun Su is a scholar working on Molecular Biology, Pharmacology, Ecology, Evolution, Behavior and Systematics, Plant Science and Genetics, having authored 42 papers that have together received 774 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), Microbial Natural Products and Biosynthesis (11 papers), Plant and Fungal Species Descriptions (7 papers), Plant Diversity and Evolution (4 papers), RNA modifications and cancer (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Plant Ecology and Taxonomy Studies (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (124 citations), Pharmacology (89 citations), Molecular Biology (378 citations), Biotechnology (48 citations) and Plant Science (206 citations). Chun Su has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Struan F.A. Grant, Andrew D. Wells, James A. Pippin, Matthew E. Johnson, Alessandra Chesi, Sumei Lu, Michelle E. Leonard, Jun Wen, Lei Duan and Kenyaita M. Hodge. Their work appears in journals such as Molecular Phylogenetics and Evolution, Nature Communications, eLife, Frontiers in Plant Science and Cancer Research.
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.