Christine C. Cheng
- Molecular Biology top 5%
- Fibroblast Growth Factor Research 16
- Kruppel-like factors research 12
- Epigenetics and DNA Methylation 11
- Physiology top 5%
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep 1
- Epidemiology top 10%
- Biochemistry top 10%
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- Cancer, Hypoxia, and Metabolism 2
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- Drug Transport and Resistance Mechanisms 2
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- Genetic Syndromes and Imprinting 1
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- Cholesterol and Lipid Metabolism 1
- Co-authors
- Alexei KharitonenkovAndrew C. AdamsTamer CoşkunRuth E. GimenoRicardo J. SammsYongde LuoChaofeng YangChristine M. Kusminski
- Journals
- Journal of Clinical Investigation (1 paper)PLoS ONE (3 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Christine C. Cheng
20 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Molecular Biology 1.4k
- Physiology 516
- Endocrine and Autonomic Systems 90
- Epidemiology 420
- Biochemistry 71
Countries citing papers authored by Christine C. Cheng
This map shows the geographic impact of Christine C. Cheng'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 Christine C. Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine C. Cheng more than expected).
Fields of papers citing papers by Christine C. Cheng
This network shows the impact of papers produced by Christine C. Cheng. 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 Christine C. Cheng. The network helps show where Christine C. Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christine C. Cheng, 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 | 2022 | 7 | |
| 2 | 2019 | 10 | |
| 3 | 2018 | 15 | |
| 4 | 2018 | 15 | |
| 5 | 2017 | 54 | |
| 6 | 2016 | 58 | |
| 7 | 2015 | 129 | |
| 8 | 2015 | 113 | |
| 9 | 2015 | 66 | |
| 10 | 2014 | 33 | |
| 11 | 2014 | 194 | |
| 12 | 2014 | 25 | |
| 13 | 2014 | 13 | |
| 14 | 2013 | 68 | |
| 15 | 2013 | 146 | |
| 16 | An FGF21-Adiponectin-Ceramide Axis Controls Energy Expenditure and Insulin Action in Micebreakdown → | 2013 | 455 |
| 17 | 2012 | 154 | |
| 18 | 2012 | 234 | |
| 19 | 2011 | 73 | |
| 20 | 2004 | 113 |
About Christine C. Cheng
Christine C. Cheng is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Cancer Research, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (16 papers), Kruppel-like factors research (12 papers), Epigenetics and DNA Methylation (11 papers), Cancer, Hypoxia, and Metabolism (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Neuroscience of respiration and sleep (1 paper), Genetic Syndromes and Imprinting (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Molecular Biology (1.4k citations), Physiology (516 citations) and Endocrine and Autonomic Systems (90 citations). Christine C. Cheng has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Alexei Kharitonenkov, Andrew C. Adams, Tamer Coşkun, Ruth E. Gimeno, Ricardo J. Samms, Yongde Luo, Chaofeng Yang, Christine M. Kusminski, William L. Holland and Katherine T. Volk. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.