Jin Sun
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- CRISPR and Genetic Engineering 8
- Insect Resistance and Genetics 2
- Epigenetics and DNA Methylation 2
- Genetics 6
- Animal Genetics and Reproduction 2
- Co-authors
- Jian‐Quan Ni (7 shared papers)Luping Liu (5 shared papers)Xingjie Ren (4 shared papers)Leonardo Crespo‐Herrera (1 shared paper)José Crossa (1 shared paper)Ravi P. Singh (1 shared paper)Julio Huerta‐Espino (1 shared paper)Suchismita Mondal (1 shared paper)
- Journals
- Analytical Chemistry (3 papers)Frontiers in Cell and Developmental Biology (2 papers)Journal of genetics and genomics (2 papers)Frontiers in Plant Science (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Jin Sun
21 papers receiving 289 citations
Peers
Comparison fields: 5 of 59
- Aging 26
- Genetics 77
- Plant Science 103
- Molecular Biology 155
- Business and International Management 4
Countries citing papers authored by Jin Sun
This map shows the geographic impact of Jin Sun'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 Jin Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Sun more than expected).
Fields of papers citing papers by Jin Sun
This network shows the impact of papers produced by Jin Sun. 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 Jin Sun. The network helps show where Jin Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Sun, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 68 | |
| 2 | 2017 | 58 | |
| 3 | 2015 | 27 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 20 | |
| 6 | 2014 | 15 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 11 | |
| 10 | 2017 | 9 | |
| 11 | 2025 | 9 | |
| 12 | 2022 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2016 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2020 | 1 |
About Jin Sun
Jin Sun is a scholar working on Molecular Biology, Genetics, Aging, Plant Science and Biophysics, having authored 23 papers that have together received 292 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Animal Genetics and Reproduction (2 papers), Insect Resistance and Genetics (2 papers), Biosensors and Analytical Detection (2 papers), Plant Molecular Biology Research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Aging (26 citations), Genetics (77 citations), Plant Science (103 citations), Molecular Biology (155 citations) and Business and International Management (4 citations). Jin Sun has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Jian‐Quan Ni, Luping Liu, Xingjie Ren, Leonardo Crespo‐Herrera, José Crossa, Ravi P. Singh, Julio Huerta‐Espino, Suchismita Mondal, Mark E. Sorrells and Jessica Rutkoski. Their work appears in journals such as Analytical Chemistry, Frontiers in Cell and Developmental Biology, Journal of genetics and genomics, Frontiers in Plant Science and Cell 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.