J.P. McGillis
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Behavioral Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Co-authors
- Donald G. PayanScott D. ReidGoldstein AlJohn R. CiallellaNicholas R. HallGeorge V. VahounyChristopher W. TurckMary F. Dallman
- Topics
- Neuropeptides and Animal Physiology (6 papers)Receptor Mechanisms and Signaling (4 papers)Stress Responses and Cortisol (2 papers)
- Journals
- Journal of Biological ChemistryThe Journal of ImmunologyBiochemical and Biophysical Research Communications
- Partner nations
- United States
In The Last Decade
J.P. McGillis
15 papers receiving 500 citations
Peers
Comparison fields: 5 of 67
- Cellular and Molecular Neuroscience 274
- Molecular Biology 192
- Behavioral Neuroscience 138
- Endocrinology, Diabetes and Metabolism 99
- Physiology 98
Countries citing papers authored by J.P. McGillis
This map shows the geographic impact of J.P. McGillis'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 J.P. McGillis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.P. McGillis more than expected).
Fields of papers citing papers by J.P. McGillis
This network shows the impact of papers produced by J.P. McGillis. 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 J.P. McGillis. The network helps show where J.P. McGillis may publish in the future.
Co-authorship network of co-authors of J.P. McGillis
This figure shows the co-authorship network connecting the top 25 collaborators of J.P. McGillis. A scholar is included among the top collaborators of J.P. McGillis 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 J.P. McGillis. J.P. McGillis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 28 | |
| 3 | 31 | |
| 4 | 33 | |
| 5 | 88 | |
| 6 | 15 | |
| 7 | 70 | |
| 8 | 14 | |
| 9 | 15 | |
| 10 | Characterization of the lymphocyte substance P receptor | 4 |
| 11 | 91 | |
| 12 | 37 | |
| 13 | 19 | |
| 14 | 31 | |
| 15 | 41 |
About J.P. McGillis
J.P. McGillis is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 520 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (4 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Behavioral Neuroscience (138 citations), Cellular and Molecular Neuroscience (274 citations) and Biological Psychiatry (25 citations). J.P. McGillis has collaborated with scholars based in United States. Frequent co-authors include Donald G. Payan, Scott D. Reid, Goldstein Al, John R. Ciallella, Nicholas R. Hall, George V. Vahouny, Christopher W. Turck, Mary F. Dallman, Vivek M. Rangnekar and Masato Mitsuhashi. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Biochemical and Biophysical Research Communications.
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.