Xiaolang Yan
- Endocrine and Autonomic Systems top 5%
- Physiology
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Nutrition and Dietetics top 10%
- Co-authors
- Robert C. BaxterSue M. FirthGeorge B. RampacekT. G. RamsayC.R. BarbRobert R. KraelingChristopher D. MorrisonRuth B. S. Harris
- Topics
- Growth Hormone and Insulin-like Growth Factors (5 papers)Biochemical Analysis and Sensing Techniques (3 papers)Metabolism, Diabetes, and Cancer (3 papers)
- Cited by
- Endocrine and Autonomic SystemsNutrition and DieteticsEndocrinology, Diabetes and Metabolism
- Journals
- Journal of Biological ChemistryThe Journal of Clinical Endocrinology & MetabolismEndocrinology
- Partner nations
- AustraliaUnited States
In The Last Decade
Xiaolang Yan
13 papers receiving 551 citations
Peers
Comparison fields: 5 of 71
- Endocrine and Autonomic Systems 226
- Physiology 160
- Endocrinology, Diabetes and Metabolism 156
- Molecular Biology 155
- Nutrition and Dietetics 151
Countries citing papers authored by Xiaolang Yan
This map shows the geographic impact of Xiaolang Yan'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 Xiaolang Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolang Yan more than expected).
Fields of papers citing papers by Xiaolang Yan
This network shows the impact of papers produced by Xiaolang Yan. 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 Xiaolang Yan. The network helps show where Xiaolang Yan may publish in the future.
Co-authorship network of co-authors of Xiaolang Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolang Yan. A scholar is included among the top collaborators of Xiaolang Yan 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 Xiaolang Yan. Xiaolang Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 54 | |
| 3 | 13 | |
| 4 | 38 | |
| 5 | 16 | |
| 6 | 43 | |
| 7 | 54 | |
| 8 | 35 | |
| 9 | 28 | |
| 10 | 180 | |
| 11 | 84 | |
| 12 | 6 | |
| 13 | Analysis of Free and Glycosylated Vitamin B6 in Wheat by High-Performance Liquid Chromatography' | 16 |
About Xiaolang Yan
Xiaolang Yan is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 580 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (226 citations), Nutrition and Dietetics (151 citations) and Endocrinology, Diabetes and Metabolism (156 citations). Xiaolang Yan has collaborated with scholars based in Australia and United States. Frequent co-authors include Robert C. Baxter, Sue M. Firth, George B. Rampacek, T. G. Ramsay, C.R. Barb, Robert R. Kraeling, Christopher D. Morrison, T. G. Ramsay, Ruth B. S. Harris and Donna H. Ryan. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and 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.