Ya Jin
Impact in
- Obstetrics and Gynecology top 10%
- Gestational Diabetes Research and Management
- Pregnancy and preeclampsia studies
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- Renal function and acid-base balance
Papers in
-
- Birth, Development, and Health 3
- Neonatal Health and Biochemistry 2
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- Pregnancy and preeclampsia studies 4
- Gestational Diabetes Research and Management 4
- Co-authors
- Shasha Han (10 shared papers)Guosheng Liu (7 shared papers)Xuesong Yang (5 shared papers)Guang Wang (5 shared papers)Mei-yao He (5 shared papers)Zhenglai Ma (3 shared papers)Xia Wu (3 shared papers)Wanqi Zhang (5 shared papers)
- Journals
- iScience (1 paper)Gene (1 paper)Annals of Nutrition and Metabolism (1 paper)BMC Pregnancy and Childbirth (1 paper)Plants (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ya Jin
18 papers receiving 268 citations
Peers
Comparison fields: 5 of 76
- Obstetrics and Gynecology 60
- Nephrology 22
- Endocrinology, Diabetes and Metabolism 50
- Pediatrics, Perinatology and Child Health 55
- Cardiology and Cardiovascular Medicine 41
Countries citing papers authored by Ya Jin
This map shows the geographic impact of Ya Jin'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 Ya Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Jin more than expected).
Fields of papers citing papers by Ya Jin
This network shows the impact of papers produced by Ya Jin. 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 Ya Jin. The network helps show where Ya Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 54 | |
| 2 | 2016 | 35 | |
| 3 | 2019 | 21 | |
| 4 | 2020 | 17 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 16 | |
| 7 | 2016 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2017 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2023 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2016 | 1 | |
| 19 | 2023 | 0 |
About Ya Jin
Ya Jin is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 19 papers that have together received 269 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (5 papers), Pregnancy and preeclampsia studies (4 papers), Gestational Diabetes Research and Management (4 papers), Birth, Development, and Health (3 papers), Neonatal Respiratory Health Research (3 papers), Renal function and acid-base balance (2 papers), Neonatal Health and Biochemistry (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Obstetrics and Gynecology (60 citations), Nephrology (22 citations), Endocrinology, Diabetes and Metabolism (50 citations), Pediatrics, Perinatology and Child Health (55 citations) and Cardiology and Cardiovascular Medicine (41 citations). Ya Jin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shasha Han, Guosheng Liu, Xuesong Yang, Guang Wang, Mei-yao He, Zhenglai Ma, Xia Wu, Wanqi Zhang, Xiaoyu Wang and Xin Cheng. Their work appears in journals such as iScience, Gene, Annals of Nutrition and Metabolism, BMC Pregnancy and Childbirth and Plants.
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.