Meghan M. Taylor
- Endocrine and Autonomic Systems top 1%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Reproductive Medicine top 5%
- Co-authors
- Willis K. SamsonJennifer R. BakerAlastair V. FergusonSara L. BagleyMatthew FollwellFeng DongJun RenDavid R. Plowchalk
- Topics
- Neuropeptides and Animal Physiology (16 papers)Receptor Mechanisms and Signaling (11 papers)Regulation of Appetite and Obesity (9 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Meghan M. Taylor
50 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Endocrine and Autonomic Systems 460
- Cellular and Molecular Neuroscience 422
- Molecular Biology 296
- Cognitive Neuroscience 291
- Reproductive Medicine 182
Countries citing papers authored by Meghan M. Taylor
This map shows the geographic impact of Meghan M. Taylor'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 Meghan M. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meghan M. Taylor more than expected).
Fields of papers citing papers by Meghan M. Taylor
This network shows the impact of papers produced by Meghan M. Taylor. 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 Meghan M. Taylor. The network helps show where Meghan M. Taylor may publish in the future.
Co-authorship network of co-authors of Meghan M. Taylor
This figure shows the co-authorship network connecting the top 25 collaborators of Meghan M. Taylor. A scholar is included among the top collaborators of Meghan M. Taylor 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 Meghan M. Taylor. Meghan M. Taylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 15 | |
| 7 | 16 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 49 | |
| 13 | 32 | |
| 14 | 77 | |
| 15 | 22 | |
| 16 | 45 | |
| 17 | 54 | |
| 18 | 9 | |
| 19 | 21 | |
| 20 | 111 |
About Meghan M. Taylor
Meghan M. Taylor is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Reproductive Medicine, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Receptor Mechanisms and Signaling (11 papers) and Regulation of Appetite and Obesity (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (460 citations), Cellular and Molecular Neuroscience (422 citations) and Reproductive Medicine (182 citations). Meghan M. Taylor has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Willis K. Samson, Jennifer R. Baker, Alastair V. Ferguson, Sara L. Bagley, Matthew Follwell, Feng Dong, Jun Ren, David R. Plowchalk, M.K. Miller and Donald R. Mattison. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología 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.