Matthew H. Perkins
- Molecular Biology
- Physiology top 10%
- Endocrine and Autonomic Systems top 5%
- Cellular and Molecular Neuroscience top 10%
- Neurology top 5%
- Co-authors
- Wenfei HanIvan E. de AraújoJozélia Gomes Pacheco FerreiraXiao‐Bing GaoDiego V. BohórquezGuillaume de LartigueSara J. Shammah‐LagnadoTatiana Lima Ferreira
- Topics
- Neurobiology and Insect Physiology Research (7 papers)Neural dynamics and brain function (5 papers)Neuroscience and Neuropharmacology Research (3 papers)
- Journals
- NatureCellJournal of Neuroscience
- Partner nations
- United StatesChinaJapan
In The Last Decade
Matthew H. Perkins
18 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 482
- Physiology 289
- Endocrine and Autonomic Systems 239
- Cellular and Molecular Neuroscience 202
- Neurology 158
Countries citing papers authored by Matthew H. Perkins
This map shows the geographic impact of Matthew H. Perkins'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 Matthew H. Perkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew H. Perkins more than expected).
Fields of papers citing papers by Matthew H. Perkins
This network shows the impact of papers produced by Matthew H. Perkins. 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 Matthew H. Perkins. The network helps show where Matthew H. Perkins may publish in the future.
Co-authorship network of co-authors of Matthew H. Perkins
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew H. Perkins. A scholar is included among the top collaborators of Matthew H. Perkins 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 Matthew H. Perkins. Matthew H. Perkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Stress-sensitive neural circuits change the gut microbiome via duodenal glandsbreakdown → | 51 |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | An inter-organ neural circuit for appetite suppressionbreakdown → | 115 |
| 9 | 10 | |
| 10 | 16 | |
| 11 | Microbiota modulate sympathetic neurons via a gut–brain circuitbreakdown → | 299 |
| 12 | 6 | |
| 13 | 11 | |
| 14 | A Neural Circuit for Gut-Induced Rewardbreakdown → | 515 |
| 15 | 16 | |
| 16 | 21 | |
| 17 | 17 | |
| 18 | 128 | |
| 19 | 8 |
About Matthew H. Perkins
Matthew H. Perkins is a scholar working on Cellular and Molecular Neuroscience, Gastroenterology and Cognitive Neuroscience, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Biological Psychiatry (145 citations), Endocrine and Autonomic Systems (239 citations) and Gastroenterology (110 citations). Matthew H. Perkins has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Wenfei Han, Ivan E. de Araújo, Jozélia Gomes Pacheco Ferreira, Xiao‐Bing Gao, Diego V. Bohórquez, Guillaume de Lartigue, Sara J. Shammah‐Lagnado, Tatiana Lima Ferreira, Liu Hon and Melanie M. Kaelberer. Their work appears in journals such as Nature, Cell and Journal of Neuroscience.
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.