Roberto Franco-Saenz

2.3k citations
78 papers · 1.9k indexed · h-index 24

Roberto Franco-Saenz

77 papers receiving 1.8k citations

Peers

Roberto Franco-Saenz
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 949
  • Cardiology and Cardiovascular Medicine 1.0k
  • Behavioral Neuroscience 76
  • Molecular Biology 764
  • Biochemistry 78
Replace Raúl García with:
Raúl García Canada
K Horký Czechia
Hamao Ijichi Japan
Laxmi Srivastava United States
W B Campbell United States
Xiao C. Li United States
Maria Jose F. Camargo United States
J C Melby United States
Luigi Mattiello Italy
Michel Y. Farhat United States
Roberto Franco-Saenz relative to Raúl García Canada Raúl García's profile →
Citations per field
00.5×3.5×
Raúl García · 1×
Citations per year

Countries citing papers authored by Roberto Franco-Saenz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Roberto Franco-Saenz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberto Franco-Saenz Line = papers co-authored together Roberto Franco-Saenz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199910
2 19982
3 19957
4 19958
5 199412
6 19937
7 19928
8 199113
9 199123
10 19894
11 19894
12 198951
13 19886
14 19882
15 198815
16 19873
17 19877
18 19853
19 198469
20 198419

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), Receptor Mechanisms and Signaling (17 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers), Electrolyte and hormonal disorders (6 papers), Heart Failure Treatment and Management (6 papers), Ion Transport and Channel Regulation (5 papers) and Eicosanoids and Hypertension Pharmacology (5 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.

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