Jialing Fu
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
- Animal Science and Zoology top 10%
- Meat and Animal Product Quality
Papers in
-
- Connexins and lens biology 7
- Ubiquitin and proteasome pathways 5
- Plant Gene Expression Analysis 4
- Heat shock proteins research 4
-
- Plant Molecular Biology Research 3
- Co-authors
- Qiang Xu (6 shared papers)Cuixia Sun (3 shared papers)Xiuxin Deng (4 shared papers)Yuyang Chang (2 shared papers)Ding Huang (2 shared papers)David Wan‐Cheng Li (14 shared papers)Qian Nie (12 shared papers)Yue Yuan (1 shared paper)
- Journals
- Current Molecular Medicine (7 papers)Aging (3 papers)Food Biophysics (2 papers)Food Bioscience (1 paper)Food Chemistry (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jialing Fu
30 papers receiving 427 citations
Peers
Comparison fields: 5 of 79
- Biochemistry 63
- Animal Science and Zoology 60
- Food Science 81
- Molecular Biology 248
- Plant Science 125
Countries citing papers authored by Jialing Fu
This map shows the geographic impact of Jialing Fu'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 Jialing Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jialing Fu more than expected).
Fields of papers citing papers by Jialing Fu
This network shows the impact of papers produced by Jialing Fu. 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 Jialing Fu. The network helps show where Jialing Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jialing Fu, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 76 | |
| 2 | 2019 | 62 | |
| 3 | 2021 | 53 | |
| 4 | 2020 | 45 | |
| 5 | 2022 | 31 | |
| 6 | 2022 | 22 | |
| 7 | 2022 | 15 | |
| 8 | 2023 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2021 | 12 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2019 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2023 | 4 |
About Jialing Fu
Jialing Fu is a scholar working on Molecular Biology, Plant Science, Physiology, Biochemistry and Food Science, having authored 33 papers that have together received 433 indexed citations. Recurring topics across this work include Connexins and lens biology (7 papers), Ubiquitin and proteasome pathways (5 papers), Plant Gene Expression Analysis (4 papers), Heat shock proteins research (4 papers), Biochemical effects in animals (4 papers), Plant Molecular Biology Research (3 papers), Natural Language Processing Techniques (3 papers) and Advanced Glycation End Products research (3 papers). The work is most often cited by research in Biochemistry (63 citations), Animal Science and Zoology (60 citations), Food Science (81 citations), Molecular Biology (248 citations) and Plant Science (125 citations). Jialing Fu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Qiang Xu, Cuixia Sun, Xiuxin Deng, Yuyang Chang, Ding Huang, David Wan‐Cheng Li, Qian Nie, Yue Yuan, Yizhi Liu and Xuebin Hu. Their work appears in journals such as Current Molecular Medicine, Aging, Food Biophysics, Food Bioscience and Food Chemistry.
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.