Shiping Su
Impact in
- Obstetrics and Gynecology top 2%
- Gestational Diabetes Research and Management
- Pregnancy and preeclampsia studies
- Reproductive Medicine top 10%
- Hypothalamic control of reproductive hormones
Papers in
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- Smart Grid and Power Systems 8
- Power Systems and Technologies 6
- Co-authors
- Huixia Yang (5 shared papers)Xiaoming Zhang (2 shared papers)Yumei Wei (2 shared papers)Li Zhang (3 shared papers)Yaru Feng (1 shared paper)John P. Newnham (1 shared paper)Yue Zhang (1 shared paper)Chong Shou (1 shared paper)
In The Last Decade
Shiping Su
69 papers receiving 698 citations
Shiping Su's Hit Papers
Peers
Comparison fields: 5 of 100
- Obstetrics and Gynecology 247
- Reproductive Medicine 49
- Aquatic Science 40
- Physiology 17
- Pediatrics, Perinatology and Child Health 59
Countries citing papers authored by Shiping Su
This map shows the geographic impact of Shiping 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 Shiping Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiping Su more than expected).
Fields of papers citing papers by Shiping Su
This network shows the impact of papers produced by Shiping 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 Shiping Su. The network helps show where Shiping Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Shiping 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A randomized clinical trial of exercise during pregnancy to prevent gestational diabetes mellitus and improve pregnancy outcome in overweight and obese pregnant women Hit paper breakdown → | 2017 | 278 |
| 2 | 2020 | 29 | |
| 3 | 2020 | 28 | |
| 4 | 2022 | 28 | |
| 5 | 2018 | 27 | |
| 6 | 2002 | 25 | |
| 7 | 2020 | 18 | |
| 8 | 2008 | 17 | |
| 9 | 2015 | 17 | |
| 10 | 2013 | 16 | |
| 11 | 2015 | 16 | |
| 12 | 2020 | 15 | |
| 13 | 2011 | 15 | |
| 14 | 2015 | 11 | |
| 15 | 2023 | 11 | |
| 16 | [Root architecture of two desert plants in central Hexi Corridor of Northwest China]. | 2013 | 10 |
| 17 | 2020 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2011 | 9 | |
| 20 | 2021 | 7 |
About Shiping Su
Shiping Su is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Control and Systems Engineering, Aquatic Science and Reproductive Medicine, having authored 76 papers that have together received 719 indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (10 papers), Power Systems and Renewable Energy (9 papers), Neurobiology and Insect Physiology Research (8 papers), Smart Grid and Power Systems (8 papers), Hypothalamic control of reproductive hormones (7 papers), Power Systems and Technologies (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers) and Advanced Computational Techniques and Applications (5 papers). The work is most often cited by research in Obstetrics and Gynecology (247 citations), Reproductive Medicine (49 citations), Aquatic Science (40 citations), Physiology (17 citations) and Pediatrics, Perinatology and Child Health (59 citations). Shiping Su has collaborated with scholars based in China, Moldova and Australia. Frequent co-authors include Huixia Yang, Xiaoming Zhang, Yumei Wei, Li Zhang, Yaru Feng, John P. Newnham, Yue Zhang, Chong Shou, Kym J. Guelfi and Chen Wang. Their work appears in journals such as Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Plants, Scientific Reports, Animal Reproduction Science and American Journal of Obstetrics and Gynecology.
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.