Jun Ling
Impact in
- Plant Science top 5%
- Plant Stress Responses and Tolerance
- Plant Micronutrient Interactions and Effects
- Plant responses to elevated CO2
- Postharvest Quality and Shelf Life Management
- Biochemistry top 10%
Papers in
-
- Genomics and Phylogenetic Studies 7
- Protein Kinase Regulation and GTPase Signaling 5
- Identification and Quantification in Food 4
- Plant Gene Expression Analysis 3
- Co-authors
- Daniel GallieTodd E. YoungZhong ChenJolinda A. TraughSimon MorleyRobert L. TanguayWilliam F. MarzluffVirginia M. Pain
- Journals
- Postharvest Biology and Technology (3 papers)Journal of Biological Chemistry (2 papers)Molecular and Cellular Biology (2 papers)Frontiers in Microbiology (2 papers)Journal of Oncology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Ling
43 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Plant Science 574
- Biochemistry 63
- Molecular Biology 683
- Aging 11
- Nutrition and Dietetics 86
Countries citing papers authored by Jun Ling
This map shows the geographic impact of Jun Ling'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 Jun Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ling more than expected).
Fields of papers citing papers by Jun Ling
This network shows the impact of papers produced by Jun Ling. 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 Jun Ling. The network helps show where Jun Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ling, 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 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 24 | |
| 6 | 2022 | 23 | |
| 7 | 2022 | 27 | |
| 8 | 2020 | 44 | |
| 9 | 2020 | 25 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 12 | |
| 12 | 2020 | 6 | |
| 13 | 2019 | 10 | |
| 14 | 2019 | 20 | |
| 15 | 2017 | 39 | |
| 16 | Genetic differentiation of Monopterus albus populations from Anhui Province in Yangtze River basin based on mitochondrial COI barcode sequence | 2016 | 1 |
| 17 | 2011 | 3 | |
| 18 | 2007 | 41 | |
| 19 | 2005 | 59 | |
| 20 | 2002 | 67 |
About Jun Ling
Jun Ling is a scholar working on Biochemistry, Molecular Biology, Aquatic Science, Plant Science and Genetics, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Genetic diversity and population structure (5 papers), Identification and Quantification in Food (4 papers), Plant Stress Responses and Tolerance (4 papers), Light effects on plants (3 papers), Postharvest Quality and Shelf Life Management (3 papers) and Plant Gene Expression Analysis (3 papers). The work is most often cited by research in Plant Science (574 citations), Biochemistry (63 citations), Molecular Biology (683 citations), Aging (11 citations) and Nutrition and Dietetics (86 citations). Jun Ling has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Daniel Gallie, Todd E. Young, Zhong Chen, Jolinda A. Traugh, Simon Morley, Robert L. Tanguay, William F. Marzluff, Virginia M. Pain, Hongsheng Zhou and Pengxia Li. Their work appears in journals such as Postharvest Biology and Technology, Journal of Biological Chemistry, Molecular and Cellular Biology, Frontiers in Microbiology and Journal of Oncology.
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.