Jorge F. Giani
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 10%
- Immunology top 10%
- Co-authors
- Fernando P. DominiciMarina C. MuñozXiao Z. ShenEllen A. BernsteinRomer A. González-VillalobosKenneth E. BernsteinZakir KhanDaniel Turyn
- Topics
- Renin-Angiotensin System Studies (41 papers)Hormonal Regulation and Hypertension (19 papers)Apelin-related biomedical research (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesArgentinaChina
In The Last Decade
Jorge F. Giani
72 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 117
- Cardiology and Cardiovascular Medicine 1.2k
- Molecular Biology 976
- Endocrinology, Diabetes and Metabolism 711
- Physiology 349
- Immunology 333
Countries citing papers authored by Jorge F. Giani
This map shows the geographic impact of Jorge F. Giani'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 Jorge F. Giani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge F. Giani more than expected).
Fields of papers citing papers by Jorge F. Giani
This network shows the impact of papers produced by Jorge F. Giani. 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 Jorge F. Giani. The network helps show where Jorge F. Giani may publish in the future.
Co-authorship network of co-authors of Jorge F. Giani
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge F. Giani. A scholar is included among the top collaborators of Jorge F. Giani 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 Jorge F. Giani. Jorge F. Giani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 16 | |
| 3 | 9 | |
| 4 | 34 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 26 | |
| 8 | 5 | |
| 9 | 27 | |
| 10 | 32 | |
| 11 | 34 | |
| 12 | 8 | |
| 13 | 17 | |
| 14 | 27 | |
| 15 | 176 | |
| 16 | 7 | |
| 17 | 48 | |
| 18 | 44 | |
| 19 | 45 | |
| 20 | 9 |
About Jorge F. Giani
Jorge F. Giani is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 73 papers that have together received 2.7k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (41 papers), Hormonal Regulation and Hypertension (19 papers) and Apelin-related biomedical research (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Endocrinology, Diabetes and Metabolism (711 citations) and Nephrology (192 citations). Jorge F. Giani has collaborated with scholars based in United States, Argentina and China. Frequent co-authors include Fernando P. Dominici, Marina C. Muñoz, Xiao Z. Shen, Ellen A. Bernstein, Romer A. González-Villalobos, Kenneth E. Bernstein, Zakir Khan, Daniel Turyn, Kenneth E. Bernstein and Jorge E. Toblli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.