Mardi S. Byerly
- Physiology top 5%
- Molecular Biology
- Epidemiology top 10%
- Endocrine and Autonomic Systems top 2%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- G. William WongZhikui WeiMarcus SeldinJonathan M. PetersonEdward A. FoxSeth BlackshawWilliam R. JefferyWilliam R. Jackman
- Topics
- Regulation of Appetite and Obesity (11 papers)Adipose Tissue and Metabolism (7 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Mardi S. Byerly
25 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Physiology 466
- Molecular Biology 347
- Epidemiology 300
- Endocrine and Autonomic Systems 287
- Cellular and Molecular Neuroscience 162
Countries citing papers authored by Mardi S. Byerly
This map shows the geographic impact of Mardi S. Byerly'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 Mardi S. Byerly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mardi S. Byerly more than expected).
Fields of papers citing papers by Mardi S. Byerly
This network shows the impact of papers produced by Mardi S. Byerly. 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 Mardi S. Byerly. The network helps show where Mardi S. Byerly may publish in the future.
Co-authorship network of co-authors of Mardi S. Byerly
This figure shows the co-authorship network connecting the top 25 collaborators of Mardi S. Byerly. A scholar is included among the top collaborators of Mardi S. Byerly 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 Mardi S. Byerly. Mardi S. Byerly 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 | 18 | |
| 3 | 77 | |
| 4 | 10 | |
| 5 | 51 | |
| 6 | 54 | |
| 7 | 18 | |
| 8 | 10 | |
| 9 | 60 | |
| 10 | 308 | |
| 11 | 26 | |
| 12 | 15 | |
| 13 | 58 | |
| 14 | 46 | |
| 15 | 149 | |
| 16 | Evolution of Developmental Control Mechanisms Pleiotropic functions of embryonic sonic hedgehog expression link jaw and taste bud amplification with eye loss during cavefish evolution | 1 |
| 17 | 32 | |
| 18 | 7 | |
| 19 | 77 | |
| 20 | 57 |
About Mardi S. Byerly
Mardi S. Byerly is a scholar working on Endocrine and Autonomic Systems, Developmental Neuroscience and Paleontology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (11 papers), Adipose Tissue and Metabolism (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (287 citations), Paleontology (147 citations) and Physiology (466 citations). Mardi S. Byerly has collaborated with scholars based in United States, France and Japan. Frequent co-authors include G. William Wong, Zhikui Wei, Marcus Seldin, Jonathan M. Peterson, Edward A. Fox, Seth Blackshaw, William R. Jeffery, William R. Jackman, Yoshiyuki Yamamoto and Susan Aja. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.
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.