Ya Jin
Impact in
- Obstetrics and Gynecology top 10%
- Gestational Diabetes Research and Management
- Pregnancy and preeclampsia studies
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- Thyroid Disorders and Treatments
- Thyroid Cancer Diagnosis and Treatment
Papers in
-
- Congenital heart defects research 2
-
- Gestational Diabetes Research and Management 4
- Pregnancy and preeclampsia studies 3
- 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)Xia Wu (3 shared papers)Zhenglai Ma (3 shared papers)Wanqi Zhang (5 shared papers)
- Journals
- iScience (1 paper)Pediatric Pulmonology (1 paper)European Thyroid Journal (1 paper)BMC Pregnancy and Childbirth (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- ChinaUnited StatesPortugal
In The Last Decade
Ya Jin
18 papers receiving 273 citations
Peers
Comparison fields: 5 of 66
- Obstetrics and Gynecology 51
- Endocrinology, Diabetes and Metabolism 49
- Nephrology 18
- Pediatrics, Perinatology and Child Health 33
- Cardiology and Cardiovascular Medicine 31
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 | 19 | |
| 5 | 2022 | 17 | |
| 6 | 2021 | 16 | |
| 7 | 2016 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 11 | |
| 12 | 2017 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2016 | 1 | |
| 19 | 2023 | 0 |
About Ya Jin
Ya Jin is a scholar working on Molecular Biology, Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Surgery, having authored 19 papers that have together received 274 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (4 papers), Thyroid Disorders and Treatments (4 papers), Pregnancy and preeclampsia studies (3 papers), Birth, Development, and Health (3 papers), Congenital heart defects research (2 papers), Sodium Intake and Health (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper) and Prenatal Substance Exposure Effects (1 paper). The work is most often cited by research in Obstetrics and Gynecology (51 citations), Endocrinology, Diabetes and Metabolism (49 citations), Nephrology (18 citations), Pediatrics, Perinatology and Child Health (33 citations) and Cardiology and Cardiovascular Medicine (31 citations). Ya Jin has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Shasha Han, Guosheng Liu, Xuesong Yang, Guang Wang, Mei-yao He, Xia Wu, Zhenglai Ma, Wanqi Zhang, Xin Cheng and Xiaoyu Wang. Their work appears in journals such as iScience, Pediatric Pulmonology, European Thyroid Journal, BMC Pregnancy and Childbirth and The Journal of Clinical Endocrinology & Metabolism.
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.