Roberto Franco-Saenz
- Cardiology and Cardiovascular Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Co-authors
- Patrick J. MulrowKeiichiro AtarashiJohn P. RappRudolf M. SnajdarYutaka DoiShin SuzukiS Y TanYasuo Tokita
- Topics
- Hormonal Regulation and Hypertension (44 papers)Renin-Angiotensin System Studies (23 papers)Receptor Mechanisms and Signaling (17 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineBehavioral Neuroscience
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Roberto Franco-Saenz
77 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 89
- Cardiology and Cardiovascular Medicine 1.0k
- Endocrinology, Diabetes and Metabolism 949
- Molecular Biology 764
- Pulmonary and Respiratory Medicine 262
- Surgery 187
Countries citing papers authored by Roberto Franco-Saenz
This map shows the geographic impact of Roberto Franco-Saenz'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 Roberto Franco-Saenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Franco-Saenz more than expected).
Fields of papers citing papers by Roberto Franco-Saenz
This network shows the impact of papers produced by Roberto Franco-Saenz. 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 Roberto Franco-Saenz. The network helps show where Roberto Franco-Saenz may publish in the future.
Co-authorship network of co-authors of Roberto Franco-Saenz
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Franco-Saenz. A scholar is included among the top collaborators of Roberto Franco-Saenz 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 Roberto Franco-Saenz. Roberto Franco-Saenz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 12 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 13 | |
| 9 | 23 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 51 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 15 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 69 | |
| 20 | 19 |
About Roberto Franco-Saenz
Roberto Franco-Saenz is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 78 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (44 papers), Renin-Angiotensin System Studies (23 papers) and Receptor Mechanisms and Signaling (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (949 citations), Cardiology and Cardiovascular Medicine (1.0k citations) and Behavioral Neuroscience (76 citations). Roberto Franco-Saenz has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Patrick J. Mulrow, Keiichiro Atarashi, John P. Rapp, Rudolf M. Snajdar, Yutaka Doi, Shin Suzuki, S Y Tan, Yasuo Tokita, T Yamaguchi and Gary D. Stoner. Their work appears in journals such as Nature, Science and JAMA.
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.