Le Zhang
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 17
- MicroRNA in disease regulation 14
- Biological Psychiatry top 5%
- Molecular Biology top 5%
- Circular RNAs in diseases 10
- Obstetrics and Gynecology top 2%
- Gestational Diabetes Research and Management 16
- Pregnancy and preeclampsia studies 12
- Pollution top 5%
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- Infant Nutrition and Health 11
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- Neonatal Respiratory Health Research 9
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- Autophagy in Disease and Therapy 8
- Journals
- Frontiers in Endocrinology (6 papers)Journal of Cellular Physiology (5 papers)The Science of The Total Environment (4 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Le Zhang
156 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Cancer Research 1.1k
- Biological Psychiatry 87
- Molecular Biology 2.2k
- Obstetrics and Gynecology 244
- Pollution 302
Countries citing papers authored by Le Zhang
This map shows the geographic impact of Le Zhang'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 Le Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Zhang more than expected).
Fields of papers citing papers by Le Zhang
This network shows the impact of papers produced by Le Zhang. 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 Le Zhang. The network helps show where Le Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Le Zhang, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 17 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 17 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 0 | |
| 15 | 2021 | 6 | |
| 16 | 2020 | 0 | |
| 17 | 2019 | 24 | |
| 18 | 2018 | 30 | |
| 19 | Texture evaluation of different varieties of Chinese chestnut. | 2017 | 1 |
| 20 | Molecular Cloning and Sequence Analysis of Mulberry Phenylalanine Ammonia-lyase Gene | 2009 | 1 |
About Le Zhang
Le Zhang is a scholar working on Obstetrics and Gynecology, Cancer Research and Nutrition and Dietetics, having authored 167 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (17 papers), Gestational Diabetes Research and Management (16 papers), MicroRNA in disease regulation (14 papers), Pregnancy and preeclampsia studies (12 papers), Infant Nutrition and Health (11 papers), Circular RNAs in diseases (10 papers), Neonatal Respiratory Health Research (9 papers) and Autophagy in Disease and Therapy (8 papers). The work is most often cited by research in Cancer Research (1.1k citations), Biological Psychiatry (87 citations) and Molecular Biology (2.2k citations). Le Zhang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Ting Deng, Haiyang Zhang, Yijun Wang, Jinsong Zhang, Guoguang Ying, Jinbao Huang, Chung S. Yang, Yi Ba, Ming Bai and Xinyi Wang. Their work appears in journals such as Frontiers in Endocrinology, Journal of Cellular Physiology, The Science of The Total Environment, Scientific Reports and Foods.
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.