Matthew J. Will
- Cellular and Molecular Neuroscience top 1%
- Endocrine and Autonomic Systems top 0.5%
- Molecular Biology
- Physiology top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Ann E. KelleyWayne E. PrattBrian A. BaldoTeresa L. SteiningerSuzanne N. HaberVaishali P. BakshiSteven F. MaierLinda R. Watkins
- Topics
- Regulation of Appetite and Obesity (19 papers)Neurotransmitter Receptor Influence on Behavior (17 papers)Neuropeptides and Animal Physiology (10 papers)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Matthew J. Will
59 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Cellular and Molecular Neuroscience 1.3k
- Endocrine and Autonomic Systems 1.1k
- Molecular Biology 672
- Physiology 662
- Cognitive Neuroscience 633
Countries citing papers authored by Matthew J. Will
This map shows the geographic impact of Matthew J. Will'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 J. Will with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Will more than expected).
Fields of papers citing papers by Matthew J. Will
This network shows the impact of papers produced by Matthew J. Will. 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 J. Will. The network helps show where Matthew J. Will may publish in the future.
Co-authorship network of co-authors of Matthew J. Will
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Will. A scholar is included among the top collaborators of Matthew J. Will 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 J. Will. Matthew J. Will 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 | 0 | |
| 3 | 5 | |
| 4 | 18 | |
| 5 | 5 | |
| 6 | 27 | |
| 7 | 24 | |
| 8 | 26 | |
| 9 | 32 | |
| 10 | 9 | |
| 11 | 26 | |
| 12 | 41 | |
| 13 | 35 | |
| 14 | 43 | |
| 15 | 62 | |
| 16 | 18 | |
| 17 | 22 | |
| 18 | 122 | |
| 19 | 415 | |
| 20 | 82 |
About Matthew J. Will
Matthew J. Will is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 62 papers that have together received 3.3k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (19 papers), Neurotransmitter Receptor Influence on Behavior (17 papers) and Neuropeptides and Animal Physiology (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.1k citations), Behavioral Neuroscience (544 citations) and Cellular and Molecular Neuroscience (1.3k citations). Matthew J. Will has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Ann E. Kelley, Wayne E. Pratt, Brian A. Baldo, Teresa L. Steininger, Suzanne N. Haber, Vaishali P. Bakshi, Steven F. Maier, Linda R. Watkins, Sayamwong E. Hammack and Ruth E. Grahn. Their work appears in journals such as Journal of Neuroscience, Bioinformatics and Scientific Reports.
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.