Guo Chang
- Endocrine and Autonomic Systems top 2%
- Physiology
- Cognitive Neuroscience top 10%
- Nutrition and Dietetics top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Sarah F. LeibowitzOlga KaratayevJordan DourmashkinJessica R. BarsonJesline T. AlexanderValeriya GaysinskayaSusan K. FriedEllis C. Gayles
- Topics
- Regulation of Appetite and Obesity (12 papers)Sleep and Wakefulness Research (7 papers)Adipose Tissue and Metabolism (6 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Guo Chang
22 papers receiving 565 citations
Peers
Comparison fields: 5 of 86
- Endocrine and Autonomic Systems 277
- Physiology 139
- Cognitive Neuroscience 133
- Nutrition and Dietetics 113
- Cellular and Molecular Neuroscience 111
Countries citing papers authored by Guo Chang
This map shows the geographic impact of Guo Chang'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 Guo Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo Chang more than expected).
Fields of papers citing papers by Guo Chang
This network shows the impact of papers produced by Guo Chang. 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 Guo Chang. The network helps show where Guo Chang may publish in the future.
Co-authorship network of co-authors of Guo Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Guo Chang. A scholar is included among the top collaborators of Guo Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guo Chang. Guo Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 27 | |
| 3 | 8 | |
| 4 | 33 | |
| 5 | 42 | |
| 6 | 15 | |
| 7 | Current status of Guangxi water chestnut industrial development and its developing suggestions. | 1 |
| 8 | 47 | |
| 9 | 15 | |
| 10 | 36 | |
| 11 | 33 | |
| 12 | 33 | |
| 13 | 30 | |
| 14 | 46 | |
| 15 | 60 | |
| 16 | 91 | |
| 17 | Priority Mapping in Real-Time Middleware | 1 |
| 18 | Fault-Tolerant Mechanism Basing on Corba Messaging | 3 |
| 19 | 14 | |
| 20 | 19 |
About Guo Chang
Guo Chang is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience and Nutrition and Dietetics, having authored 22 papers that have together received 572 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (12 papers), Sleep and Wakefulness Research (7 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (277 citations), Nutrition and Dietetics (113 citations) and Cognitive Neuroscience (133 citations). Guo Chang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Sarah F. Leibowitz, Olga Karatayev, Jordan Dourmashkin, Jessica R. Barson, Jesline T. Alexander, Valeriya Gaysinskaya, Susan K. Fried, Ellis C. Gayles, Michael Lewis and James O. Hill. Their work appears in journals such as Brain Research, Neuroscience and International Journal of Obesity.
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.