Yingjie Wu
Impact in
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- Circadian rhythm and melatonin
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- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Metabolism, Diabetes, and Cancer 13
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- Growth Hormone and Insulin-like Growth Factors 21
- Co-authors
- Dongmei Liu (2 shared papers)Anthony R. Cashmore (2 shared papers)José A. Jarillo (1 shared paper)Shoshana Yakar (21 shared papers)Hui Sun (11 shared papers)Archana Vijayakumar (4 shared papers)Derek LeRoith (4 shared papers)Yan Liu (1 shared paper)
- Journals
- Journal of Bone and Mineral Research (6 papers)Endocrinology (5 papers)Diabetes (3 papers)Cell Death and Disease (3 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yingjie Wu
89 papers receiving 4.1k citations
Yingjie Wu's Hit Papers
Peers
Comparison fields: 5 of 129
- Endocrine and Autonomic Systems 301
- Endocrinology, Diabetes and Metabolism 696
- Molecular Biology 2.0k
- Cancer Research 438
- Plant Science 1.0k
Countries citing papers authored by Yingjie Wu
This map shows the geographic impact of Yingjie Wu'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 Yingjie Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingjie Wu more than expected).
Fields of papers citing papers by Yingjie Wu
This network shows the impact of papers produced by Yingjie Wu. 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 Yingjie Wu. The network helps show where Yingjie Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingjie Wu, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cryptochromes: Blue Light Receptors for Plants and Animals Hit paper breakdown → | 1999 | 804 |
| 2 | 2000 | 333 | |
| 3 | 2008 | 253 | |
| 4 | 2009 | 231 | |
| 5 | 2017 | 221 | |
| 6 | 2013 | 116 | |
| 7 | 2022 | 105 | |
| 8 | 2018 | 86 | |
| 9 | 2017 | 82 | |
| 10 | 1993 | 79 | |
| 11 | 2011 | 75 | |
| 12 | 2010 | 74 | |
| 13 | 2009 | 71 | |
| 14 | 2019 | 65 | |
| 15 | 2020 | 63 | |
| 16 | 2013 | 62 | |
| 17 | 2008 | 62 | |
| 18 | 2009 | 61 | |
| 19 | 2010 | 59 | |
| 20 | 2015 | 59 |
About Yingjie Wu
Yingjie Wu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Epidemiology, Physiology and Oncology, having authored 93 papers that have together received 4.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (21 papers), Metabolism, Diabetes, and Cancer (13 papers), Adipose Tissue and Metabolism (9 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Spinal Cord Injury Research (6 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (301 citations), Endocrinology, Diabetes and Metabolism (696 citations), Molecular Biology (2.0k citations), Cancer Research (438 citations) and Plant Science (1.0k citations). Yingjie Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dongmei Liu, Anthony R. Cashmore, José A. Jarillo, Shoshana Yakar, Hui Sun, Archana Vijayakumar, Derek LeRoith, Yan Liu, Hong‐Quan Yang and Ruhang Tang. Their work appears in journals such as Journal of Bone and Mineral Research, Endocrinology, Diabetes, Cell Death and Disease and Journal of Biological Chemistry.
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.