Fei Jia
Impact in
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
- Biomedical Engineering top 5%
- Biosensors and Analytical Detection
- Advanced Chemical Sensor Technologies
Papers in
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- Advanced biosensing and bioanalysis techniques 23
- CRISPR and Genetic Engineering 12
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- Biosensors and Analytical Detection 23
- Co-authors
- Xingmin Li (33 shared papers)Ruitong Dai (28 shared papers)Zhouping Wang (6 shared papers)Xiaoyuan Ma (4 shared papers)Qianqian Yu (6 shared papers)Xiaojing Tian (5 shared papers)Yanbin Li (9 shared papers)Nuo Duan (3 shared papers)
- Journals
- Food Research International (7 papers)Microchimica Acta (4 papers)Innovative Food Science & Emerging Technologies (4 papers)Food Chemistry (4 papers)Biosensors and Bioelectronics (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fei Jia
93 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 119
- Animal Science and Zoology 297
- Biomedical Engineering 835
- Molecular Biology 1.2k
- Electrochemistry 103
- Biotechnology 117
Countries citing papers authored by Fei Jia
This map shows the geographic impact of Fei Jia'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 Fei Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Jia more than expected).
Fields of papers citing papers by Fei Jia
This network shows the impact of papers produced by Fei Jia. 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 Fei Jia. The network helps show where Fei Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Jia, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 160 | |
| 2 | 2014 | 100 | |
| 3 | 2015 | 98 | |
| 4 | 2013 | 86 | |
| 5 | 2008 | 80 | |
| 6 | 2018 | 74 | |
| 7 | 2015 | 71 | |
| 8 | 2017 | 64 | |
| 9 | 2022 | 60 | |
| 10 | 2022 | 58 | |
| 11 | 2016 | 56 | |
| 12 | 2017 | 52 | |
| 13 | 2013 | 50 | |
| 14 | 2015 | 47 | |
| 15 | 2019 | 43 | |
| 16 | 2019 | 41 | |
| 17 | 2016 | 37 | |
| 18 | 2009 | 36 | |
| 19 | 2019 | 35 | |
| 20 | 2023 | 34 |
About Fei Jia
Fei Jia is a scholar working on Molecular Biology, Biomedical Engineering, Animal Science and Zoology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 99 papers that have together received 2.1k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (23 papers), Advanced biosensing and bioanalysis techniques (23 papers), Meat and Animal Product Quality (13 papers), CRISPR and Genetic Engineering (12 papers), Plasma Applications and Diagnostics (9 papers), Microbial Inactivation Methods (8 papers), Inhalation and Respiratory Drug Delivery (6 papers) and Animal Nutrition and Physiology (4 papers). The work is most often cited by research in Animal Science and Zoology (297 citations), Biomedical Engineering (835 citations), Molecular Biology (1.2k citations), Electrochemistry (103 citations) and Biotechnology (117 citations). Fei Jia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xingmin Li, Ruitong Dai, Zhouping Wang, Xiaoyuan Ma, Qianqian Yu, Xiaojing Tian, Yanbin Li, Nuo Duan, Shijia Wu and Yawen He. Their work appears in journals such as Food Research International, Microchimica Acta, Innovative Food Science & Emerging Technologies, Food Chemistry and Biosensors and Bioelectronics.
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.