Jingya Chen
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
-
- Endometrial and Cervical Cancer Treatments
Papers in
-
- Proteins in Food Systems 4
- Food Chemistry and Fat Analysis 3
- Co-authors
- Yunli Zhao (2 shared papers)Dayong Wang (1 shared paper)Rui Wang (1 shared paper)Juan Dong (7 shared papers)Shiling Lu (6 shared papers)Xiao‐Qiang Yu (2 shared papers)Qiuyun Xu (2 shared papers)Brad A. Myers (1 shared paper)
- Journals
- Scientific Reports (3 papers)Food Chemistry (2 papers)International Journal of Biological Macromolecules (2 papers)Clinical Genitourinary Cancer (2 papers)Journal of Food Engineering (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jingya Chen
38 papers receiving 460 citations
Peers
Comparison fields: 5 of 111
- Aging 29
- Obstetrics and Gynecology 32
- Food Science 71
- Animal Science and Zoology 37
- Insect Science 42
Countries citing papers authored by Jingya Chen
This map shows the geographic impact of Jingya Chen'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 Jingya Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingya Chen more than expected).
Fields of papers citing papers by Jingya Chen
This network shows the impact of papers produced by Jingya Chen. 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 Jingya Chen. The network helps show where Jingya Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingya Chen, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 56 | |
| 2 | 2019 | 38 | |
| 3 | 2020 | 34 | |
| 4 | 2020 | 33 | |
| 5 | 2023 | 32 | |
| 6 | 2012 | 30 | |
| 7 | 2010 | 28 | |
| 8 | 2022 | 27 | |
| 9 | 2018 | 19 | |
| 10 | 2024 | 19 | |
| 11 | 2018 | 16 | |
| 12 | 2016 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2022 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2023 | 9 | |
| 18 | 2024 | 7 | |
| 19 | 2019 | 6 | |
| 20 | [Borneol is an inducer of rat hepatic CYP2D activity in vivo]. | 2015 | 6 |
About Jingya Chen
Jingya Chen is a scholar working on Molecular Biology, Food Science, Animal Science and Zoology, Physiology and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 466 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (5 papers), Proteins in Food Systems (4 papers), Biochemical Analysis and Sensing Techniques (4 papers), Food Chemistry and Fat Analysis (3 papers), Invertebrate Immune Response Mechanisms (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Biochemical effects in animals (3 papers) and Urologic and reproductive health conditions (2 papers). The work is most often cited by research in Aging (29 citations), Obstetrics and Gynecology (32 citations), Food Science (71 citations), Animal Science and Zoology (37 citations) and Insect Science (42 citations). Jingya Chen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yunli Zhao, Dayong Wang, Rui Wang, Juan Dong, Shiling Lu, Xiao‐Qiang Yu, Qiuyun Xu, Brad A. Myers, Wenqing Zhang and Haijun Xia. Their work appears in journals such as Scientific Reports, Food Chemistry, International Journal of Biological Macromolecules, Clinical Genitourinary Cancer and Journal of Food Engineering.
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.