Rina Su
Impact in
- Obstetrics and Gynecology top 1%
- Gestational Diabetes Research and Management
- Pregnancy and preeclampsia studies
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- Birth, Development, and Health
Papers in
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- Advanced biosensing and bioanalysis techniques 9
- Metabolomics and Mass Spectrometry Studies 3
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- Gestational Diabetes Research and Management 16
- Pregnancy and preeclampsia studies 7
- Co-authors
- Hui Feng (13 shared papers)Huixia Yang (19 shared papers)Chen Wang (13 shared papers)Yumei Wei (13 shared papers)Weiwei Zhu (8 shared papers)Wenling Gu (12 shared papers)Chengzhou Zhu (12 shared papers)Weiqing Xu (11 shared papers)
- Journals
- PLoS ONE (4 papers)BMC Pregnancy and Childbirth (3 papers)Nano Letters (3 papers)Placenta (2 papers)Journal of Perinatology (2 papers)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Rina Su
64 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 125
- Obstetrics and Gynecology 468
- Pediatrics, Perinatology and Child Health 209
- Hematology 76
- Materials Chemistry 323
- Molecular Biology 377
Countries citing papers authored by Rina Su
This map shows the geographic impact of Rina Su'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 Rina Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rina Su more than expected).
Fields of papers citing papers by Rina Su
This network shows the impact of papers produced by Rina Su. 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 Rina Su. The network helps show where Rina Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Rina Su, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 126 | |
| 2 | 2023 | 81 | |
| 3 | 2016 | 73 | |
| 4 | 2016 | 66 | |
| 5 | 2023 | 63 | |
| 6 | 2017 | 62 | |
| 7 | 2018 | 57 | |
| 8 | 2016 | 48 | |
| 9 | 2015 | 47 | |
| 10 | 2023 | 47 | |
| 11 | 2017 | 44 | |
| 12 | 2016 | 43 | |
| 13 | 2018 | 43 | |
| 14 | 2019 | 39 | |
| 15 | 2023 | 38 | |
| 16 | 2022 | 38 | |
| 17 | 2023 | 36 | |
| 18 | 2014 | 35 | |
| 19 | 2023 | 34 | |
| 20 | 2015 | 34 |
About Rina Su
Rina Su is a scholar working on Molecular Biology, Obstetrics and Gynecology, Materials Chemistry, Pediatrics, Perinatology and Child Health and Health, Toxicology and Mutagenesis, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (16 papers), Advanced Nanomaterials in Catalysis (12 papers), Advanced biosensing and bioanalysis techniques (9 papers), Birth, Development, and Health (9 papers), Pregnancy and preeclampsia studies (7 papers), Nanocluster Synthesis and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Land Use and Ecosystem Services (3 papers). The work is most often cited by research in Obstetrics and Gynecology (468 citations), Pediatrics, Perinatology and Child Health (209 citations), Hematology (76 citations), Materials Chemistry (323 citations) and Molecular Biology (377 citations). Rina Su has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Hui Feng, Huixia Yang, Chen Wang, Yumei Wei, Weiwei Zhu, Wenling Gu, Chengzhou Zhu, Weiqing Xu, Liuyong Hu and Yu Wu. Their work appears in journals such as PLoS ONE, BMC Pregnancy and Childbirth, Nano Letters, Placenta and Journal of Perinatology.
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.