Chunxia Lü
Impact in
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- Regulation of Appetite and Obesity
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- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Growth Hormone and Insulin-like Growth Factors 8
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- Adipose Tissue and Metabolism 5
- Co-authors
- Ram K. Menon (14 shared papers)Mark A. Sperling (5 shared papers)Yong Fan (2 shared papers)David P. Olson (4 shared papers)Rajasree Menon (2 shared papers)Muraly Puttabyatappa (2 shared papers)Jinhong Sun (5 shared papers)Vasantha Padmanabhan (2 shared papers)
- Journals
- Endocrinology (4 papers)Journal of Biological Chemistry (4 papers)Frontiers in Psychology (3 papers)Frontiers in Psychiatry (2 papers)Molecular Endocrinology (2 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Chunxia Lü
36 papers receiving 848 citations
Peers
Comparison fields: 5 of 97
- Endocrine and Autonomic Systems 120
- Endocrinology, Diabetes and Metabolism 219
- Physiology 140
- Reproductive Medicine 40
- Cancer Research 54
Countries citing papers authored by Chunxia Lü
This map shows the geographic impact of Chunxia Lü'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 Chunxia Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunxia Lü more than expected).
Fields of papers citing papers by Chunxia Lü
This network shows the impact of papers produced by Chunxia Lü. 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 Chunxia Lü. The network helps show where Chunxia Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunxia Lü, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 111 | |
| 2 | 2001 | 71 | |
| 3 | 2002 | 66 | |
| 4 | 2008 | 63 | |
| 5 | 2010 | 56 | |
| 6 | 2016 | 54 | |
| 7 | 2013 | 54 | |
| 8 | 2010 | 39 | |
| 9 | 2016 | 36 | |
| 10 | 2005 | 34 | |
| 11 | 2017 | 33 | |
| 12 | 2006 | 24 | |
| 13 | 2012 | 22 | |
| 14 | 2006 | 21 | |
| 15 | 2007 | 19 | |
| 16 | 2018 | 16 | |
| 17 | 2021 | 15 | |
| 18 | 2020 | 15 | |
| 19 | 2001 | 14 | |
| 20 | 2014 | 14 |
About Chunxia Lü
Chunxia Lü is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Surgery and Public Health, Environmental and Occupational Health, having authored 40 papers that have together received 861 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Adipose Tissue and Metabolism (5 papers), Regulation of Appetite and Obesity (4 papers), Pancreatic function and diabetes (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Pregnancy-related medical research (2 papers), Acupuncture Treatment Research Studies (2 papers) and Parasitic Infections and Diagnostics (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (120 citations), Endocrinology, Diabetes and Metabolism (219 citations), Physiology (140 citations), Reproductive Medicine (40 citations) and Cancer Research (54 citations). Chunxia Lü has collaborated with scholars based in United States, China and India. Frequent co-authors include Ram K. Menon, Mark A. Sperling, Yong Fan, David P. Olson, Rajasree Menon, Muraly Puttabyatappa, Jinhong Sun, Vasantha Padmanabhan, Rui B. Chang and Michael J. Krashes. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, Frontiers in Psychology, Frontiers in Psychiatry and Molecular Endocrinology.
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.