Jun Ling
Impact in
- Aquatic Science top 10%
- Aquaculture Nutrition and Growth
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
-
- Histone Deacetylase Inhibitors Research 2
- Ubiquitin and proteasome pathways 1
- Oncology 7
- Cytokine Signaling Pathways and Interactions 5
- Co-authors
- Raj Kumar (3 shared papers)Shagufta H. Khan (3 shared papers)Pedro Laborda (4 shared papers)Fengquan Liu (4 shared papers)David Lo (1 shared paper)Praveen Kumar (2 shared papers)Zenaida P. Lopez-Dee (4 shared papers)Yangyang Zhao (2 shared papers)
- Journals
- Journal of Agricultural and Food Chemistry (3 papers)PLoS ONE (2 papers)Cancer Letters (2 papers)Analytical Biochemistry (1 paper)Plant Pathology (1 paper)
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Jun Ling
24 papers receiving 593 citations
Peers
Comparison fields: 5 of 93
- Aquatic Science 59
- Physiology 32
- Immunology 100
- Cancer Research 52
- Molecular Biology 219
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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 110 | |
| 2 | 2010 | 69 | |
| 3 | 2012 | 54 | |
| 4 | 2014 | 43 | |
| 5 | 2012 | 42 | |
| 6 | 2001 | 40 | |
| 7 | 2017 | 36 | |
| 8 | 2013 | 35 | |
| 9 | 2019 | 30 | |
| 10 | 2011 | 28 | |
| 11 | 2018 | 17 | |
| 12 | 2011 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2018 | 12 | |
| 15 | 2016 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2017 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2015 | 6 | |
| 20 | 2025 | 1 |
About Jun Ling
Jun Ling is a scholar working on Molecular Biology, Oncology, Genetics, Plant Science and Cancer Research, having authored 24 papers that have together received 597 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), Plant-Microbe Interactions and Immunity (4 papers), NF-κB Signaling Pathways (4 papers), Histone Deacetylase Inhibitors Research (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Ubiquitin and proteasome pathways (1 paper) and Sodium Intake and Health (1 paper). The work is most often cited by research in Aquatic Science (59 citations), Physiology (32 citations), Immunology (100 citations), Cancer Research (52 citations) and Molecular Biology (219 citations). Jun Ling has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Raj Kumar, Shagufta H. Khan, Pedro Laborda, Fengquan Liu, David Lo, Praveen Kumar, Zenaida P. Lopez-Dee, Yangyang Zhao, Terumasa Nakatsuka and J Gu. Their work appears in journals such as Journal of Agricultural and Food Chemistry, PLoS ONE, Cancer Letters, Analytical Biochemistry and Plant Pathology.
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.