Juan M. Saavedra
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 0.2%
- Cardiology and Cardiovascular Medicine top 0.5%
- Endocrine and Autonomic Systems top 0.2%
- Physiology top 1%
- Co-authors
- Julius AxelrodMiklós PalkovitsMichael BrownsteinM. BrownsteinKoichiro TsutsumiMohan ViswanathanJarmo T. LaitinenTao Pang
- Topics
- Receptor Mechanisms and Signaling (55 papers)Renin-Angiotensin System Studies (34 papers)Neuropeptides and Animal Physiology (30 papers)
- Partner nations
- United StatesCzechiaChina
In The Last Decade
Juan M. Saavedra
212 papers receiving 10.9k citations
Peers
Comparison fields: 5 of 142
- Molecular Biology 4.2k
- Cellular and Molecular Neuroscience 4.2k
- Cardiology and Cardiovascular Medicine 2.5k
- Endocrine and Autonomic Systems 2.0k
- Physiology 1.9k
Countries citing papers authored by Juan M. Saavedra
This map shows the geographic impact of Juan M. Saavedra'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 Juan M. Saavedra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan M. Saavedra more than expected).
Fields of papers citing papers by Juan M. Saavedra
This network shows the impact of papers produced by Juan M. Saavedra. 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 Juan M. Saavedra. The network helps show where Juan M. Saavedra may publish in the future.
Co-authorship network of co-authors of Juan M. Saavedra
This figure shows the co-authorship network connecting the top 25 collaborators of Juan M. Saavedra. A scholar is included among the top collaborators of Juan M. Saavedra 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 Juan M. Saavedra. Juan M. Saavedra 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 | 34 | |
| 3 | 13 | |
| 4 | 22 | |
| 5 | 175 | |
| 6 | 20 | |
| 7 | 34 | |
| 8 | 63 | |
| 9 | 85 | |
| 10 | 39 | |
| 11 | 11 | |
| 12 | 13 | |
| 13 | 18 | |
| 14 | 3 | |
| 15 | 93 | |
| 16 | 24 | |
| 17 | 8 | |
| 18 | 40 | |
| 19 | 15 | |
| 20 | Octopamine as a putative neurotransmitter. | 11 |
About Juan M. Saavedra
Juan M. Saavedra is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 213 papers that have together received 11.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (55 papers), Renin-Angiotensin System Studies (34 papers) and Neuropeptides and Animal Physiology (30 papers). The work is most often cited by research in Behavioral Neuroscience (1.1k citations), Endocrine and Autonomic Systems (2.0k citations) and Cellular and Molecular Neuroscience (4.2k citations). Juan M. Saavedra has collaborated with scholars based in United States, Czechia and China. Frequent co-authors include Julius Axelrod, Miklós Palkovits, Michael Brownstein, M. Brownstein, Koichiro Tsutsumi, Mohan Viswanathan, Jarmo T. Laitinen, Tao Pang, Claude Chevillard and Justin A. Zivin. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.