Xiaodong Gan
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Amino Acid Enzymes and Metabolism 1
- Phytochemicals and Antioxidant Activities 1
- Sulfur Compounds in Biology 1
- Co-authors
- Stephen A. BackJoseph J. VolpePaul A. RosenbergYa LiTian‐Quan CaiSamuel D. WrightAndrew K.P. TaggartNing Ren
- Journals
- Journal of Lipid Research (2 papers)Journal of Biological Chemistry (2 papers)Journal of Interferon & Cytokine Research (1 paper)Journal of Neuroscience (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Xiaodong Gan
7 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Developmental Neuroscience 174
- Neurology 140
- Pediatrics, Perinatology and Child Health 309
- Biological Psychiatry 38
- Physiology 361
Countries citing papers authored by Xiaodong Gan
This map shows the geographic impact of Xiaodong Gan'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 Xiaodong Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodong Gan more than expected).
Fields of papers citing papers by Xiaodong Gan
This network shows the impact of papers produced by Xiaodong Gan. 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 Xiaodong Gan. The network helps show where Xiaodong Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodong Gan, 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 | 2009 | 28 | |
| 2 | (d)-β-Hydroxybutyrate Inhibits Adipocyte Lipolysis via the Nicotinic Acid Receptor PUMA-G Hit paper breakdown → | 2005 | 529 |
| 3 | 2002 | 40 | |
| 4 | 2001 | 60 | |
| 5 | 2001 | 85 | |
| 6 | 1998 | 479 | |
| 7 | 1996 | 100 |
About Xiaodong Gan
Xiaodong Gan is a scholar working on Biochemistry, Developmental Neuroscience, Biochemistry, Immunology and Allergy and Neurology, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Amino Acid Enzymes and Metabolism (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Phytochemicals and Antioxidant Activities (1 paper), Peptidase Inhibition and Analysis (1 paper), Sulfur Compounds in Biology (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Developmental Neuroscience (174 citations), Neurology (140 citations), Pediatrics, Perinatology and Child Health (309 citations), Biological Psychiatry (38 citations) and Physiology (361 citations). Xiaodong Gan has collaborated with scholars based in United States and Germany. Frequent co-authors include Stephen A. Back, Joseph J. Volpe, Paul A. Rosenberg, Ya Li, Tian‐Quan Cai, Samuel D. Wright, Andrew K.P. Taggart, Ning Ren, Lan Jin and Daniel T. Connolly. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Journal of Interferon & Cytokine Research, Journal of Neuroscience and Journal of Neurochemistry.
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.