V. John Massari
- Cellular and Molecular Neuroscience top 1%
- Endocrine and Autonomic Systems top 0.5%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 5%
- Co-authors
- Thomas L. O’DonohueBibie M. ChronwallVirginia M. PickelDavid A. RuggieroTannis A. JohnsonPhilip J. GattiCinda J. HelkeYousef Tizabi
- Topics
- Neuroscience of respiration and sleep (23 papers)Neuropeptides and Animal Physiology (20 papers)Neuroscience and Neuropharmacology Research (13 papers)
- Partner nations
- United StatesCzechiaGermany
In The Last Decade
V. John Massari
57 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Cellular and Molecular Neuroscience 1.8k
- Endocrine and Autonomic Systems 1.2k
- Molecular Biology 935
- Cardiology and Cardiovascular Medicine 481
- Physiology 441
Countries citing papers authored by V. John Massari
This map shows the geographic impact of V. John Massari'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 V. John Massari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. John Massari more than expected).
Fields of papers citing papers by V. John Massari
This network shows the impact of papers produced by V. John Massari. 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 V. John Massari. The network helps show where V. John Massari may publish in the future.
Co-authorship network of co-authors of V. John Massari
This figure shows the co-authorship network connecting the top 25 collaborators of V. John Massari. A scholar is included among the top collaborators of V. John Massari 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 V. John Massari. V. John Massari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Cardiotopic Organization of the Functionally Associated Axons Within the Cervical Vagus Nerves That Project to the Ventricles of the Cat Heart | 1 |
| 2 | 6 | |
| 3 | 19 | |
| 4 | 7 | |
| 5 | 53 | |
| 6 | 60 | |
| 7 | 21 | |
| 8 | 12 | |
| 9 | 19 | |
| 10 | 42 | |
| 11 | 45 | |
| 12 | 31 | |
| 13 | 43 | |
| 14 | 58 | |
| 15 | 11 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 43 | |
| 19 | 38 | |
| 20 | 4 |
About V. John Massari
V. John Massari is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 57 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (23 papers), Neuropeptides and Animal Physiology (20 papers) and Neuroscience and Neuropharmacology Research (13 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Cellular and Molecular Neuroscience (1.8k citations) and Reproductive Medicine (365 citations). V. John Massari has collaborated with scholars based in United States, Czechia and Germany. Frequent co-authors include Thomas L. O’Donohue, Bibie M. Chronwall, Virginia M. Pickel, David A. Ruggiero, Tannis A. Johnson, Philip J. Gatti, Cinda J. Helke, Yousef Tizabi, Arthur D. Loewy and Jeffrey J. Neil. Their work appears in journals such as Journal of Neuroscience, Brain Research and Journal of Applied Physiology.
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.