Joan P. Schwartz
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 2%
- Physiology top 2%
- Neurology top 0.5%
- Developmental Neuroscience top 0.5%
- Co-authors
- E. CostaDahlia Minc‐GolombTakayuki TaniwakiTakeshi YabeNobuyoshi NishiyamaJanet V. PassonneauBoyu ZhaoHisaharu Shinoda
- Topics
- Neuropeptides and Animal Physiology (31 papers)Neuroinflammation and Neurodegeneration Mechanisms (23 papers)Neuroscience and Neuropharmacology Research (20 papers)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Joan P. Schwartz
105 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cellular and Molecular Neuroscience 3.0k
- Molecular Biology 2.8k
- Physiology 1.1k
- Neurology 950
- Developmental Neuroscience 731
Countries citing papers authored by Joan P. Schwartz
This map shows the geographic impact of Joan P. Schwartz'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 Joan P. Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan P. Schwartz more than expected).
Fields of papers citing papers by Joan P. Schwartz
This network shows the impact of papers produced by Joan P. Schwartz. 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 Joan P. Schwartz. The network helps show where Joan P. Schwartz may publish in the future.
Co-authorship network of co-authors of Joan P. Schwartz
This figure shows the co-authorship network connecting the top 25 collaborators of Joan P. Schwartz. A scholar is included among the top collaborators of Joan P. Schwartz 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 Joan P. Schwartz. Joan P. Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 17 | |
| 3 | 48 | |
| 4 | 20 | |
| 5 | 63 | |
| 6 | 99 | |
| 7 | 94 | |
| 8 | 75 | |
| 9 | 135 | |
| 10 | 19 | |
| 11 | 21 | |
| 12 | 9 | |
| 13 | Synthesis of nitric oxide in CNS glial cellsbreakdown → | 591 |
| 14 | 17 | |
| 15 | 3 | |
| 16 | 31 | |
| 17 | 47 | |
| 18 | 17 | |
| 19 | 37 | |
| 20 | 16 |
About Joan P. Schwartz
Joan P. Schwartz is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 105 papers that have together received 6.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (31 papers), Neuroinflammation and Neurodegeneration Mechanisms (23 papers) and Neuroscience and Neuropharmacology Research (20 papers). The work is most often cited by research in Developmental Neuroscience (731 citations), Cellular and Molecular Neuroscience (3.0k citations) and Neurology (950 citations). Joan P. Schwartz has collaborated with scholars based in United States, Japan and France. Frequent co-authors include E. Costa, Dahlia Minc‐Golomb, Takayuki Taniwaki, Takeshi Yabe, Nobuyoshi Nishiyama, Janet V. Passonneau, Boyu Zhao, Hisaharu Shinoda, S. Patricia Becerra and Gerald J. Chader. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.