Ning Jiang
Impact in
- Endocrinology top 2%
- Plant and Fungal Interactions Research
- Plant Science top 2%
- Plant Molecular Biology Research
- Plant-Microbe Interactions and Immunity
- Plant Virus Research Studies
- Plant Disease Resistance and Genetics
Papers in
-
- Plant-Microbe Interactions and Immunity 15
- Plant Disease Resistance and Genetics 12
- Plant Molecular Biology Research 9
- Plant Pathogenic Bacteria Studies 9
- Plant Virus Research Studies 8
-
- Genomics and Phylogenetic Studies 6
- Co-authors
- Jun Cui (11 shared papers)Jun Meng (10 shared papers)Yushi Luan (10 shared papers)Xinxin Hou (6 shared papers)Dajing Li (10 shared papers)Chunquan Liu (9 shared papers)Xiaoxu Zhou (4 shared papers)Guanglei Yang (4 shared papers)
- Journals
- Phytopathology (4 papers)Plant Disease (4 papers)Drying Technology (3 papers)Food Chemistry (3 papers)Planta (2 papers)
- Partner nations
- ChinaSouth KoreaUganda
In The Last Decade
Ning Jiang
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 82
- Endocrinology 184
- Plant Science 875
- Biochemistry 139
- Food Science 357
- Animal Science and Zoology 168
Countries citing papers authored by Ning Jiang
This map shows the geographic impact of Ning Jiang'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 Ning Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Jiang more than expected).
Fields of papers citing papers by Ning Jiang
This network shows the impact of papers produced by Ning Jiang. 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 Ning Jiang. The network helps show where Ning Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Jiang, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 142 | |
| 2 | 2018 | 128 | |
| 3 | 2018 | 105 | |
| 4 | 2018 | 97 | |
| 5 | 2019 | 86 | |
| 6 | 2017 | 76 | |
| 7 | 2019 | 74 | |
| 8 | 2020 | 70 | |
| 9 | 2019 | 69 | |
| 10 | 2018 | 68 | |
| 11 | 2016 | 57 | |
| 12 | 2022 | 53 | |
| 13 | 2015 | 31 | |
| 14 | 2023 | 30 | |
| 15 | 2018 | 28 | |
| 16 | 2015 | 27 | |
| 17 | 2022 | 22 | |
| 18 | 2018 | 22 | |
| 19 | 2014 | 21 | |
| 20 | 2020 | 19 |
About Ning Jiang
Ning Jiang is a scholar working on Plant Science, Molecular Biology, Food Science, Animal Science and Zoology and Endocrinology, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (15 papers), Plant Disease Resistance and Genetics (12 papers), Plant Molecular Biology Research (9 papers), Plant Pathogenic Bacteria Studies (9 papers), Plant Virus Research Studies (8 papers), Food Drying and Modeling (8 papers), Genomics and Phylogenetic Studies (6 papers) and Meat and Animal Product Quality (6 papers). The work is most often cited by research in Endocrinology (184 citations), Plant Science (875 citations), Biochemistry (139 citations), Food Science (357 citations) and Animal Science and Zoology (168 citations). Ning Jiang has collaborated with scholars based in China, South Korea and Uganda. Frequent co-authors include Jun Cui, Jun Meng, Yushi Luan, Xinxin Hou, Dajing Li, Chunquan Liu, Xiaoxu Zhou, Guanglei Yang, Min Zhang and Yadong Xiao. Their work appears in journals such as Phytopathology, Plant Disease, Drying Technology, Food Chemistry and Planta.
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.