Marcelo Ferder
Impact in
- Aging top 10%
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- Diet, Metabolism, and Disease
- Hormonal Regulation and Hypertension
Papers in
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- Adipose Tissue and Metabolism 3
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- Renin-Angiotensin System Studies 3
- Co-authors
- León Ferder (11 shared papers)Felipe Inserra (11 shared papers)Elena M. V. de Cavanagh (3 shared papers)Walter A. Manucha (1 shared paper)Inés Stella (4 shared papers)Jorge Eduardo Toblli (1 shared paper)Idhaliz Flores (1 shared paper)Luís Alberto Romano (1 shared paper)
- Journals
- American Journal of Physiology-Cell Physiology (1 paper)Plastic & Reconstructive Surgery (1 paper)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)American Journal of Nephrology (1 paper)Experimental Gerontology (1 paper)
- Partner nations
- ArgentinaPuerto RicoUnited States
In The Last Decade
Marcelo Ferder
11 papers receiving 582 citations
Peers
Comparison fields: 5 of 91
- Aging 22
- Endocrinology, Diabetes and Metabolism 134
- Pathology and Forensic Medicine 102
- Physiology 143
- Cardiology and Cardiovascular Medicine 98
Countries citing papers authored by Marcelo Ferder
This map shows the geographic impact of Marcelo Ferder'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 Marcelo Ferder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo Ferder more than expected).
Fields of papers citing papers by Marcelo Ferder
This network shows the impact of papers produced by Marcelo Ferder. 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 Marcelo Ferder. The network helps show where Marcelo Ferder may publish in the future.
Co-authors
The 12 scholars most cited alongside Marcelo Ferder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 123 | |
| 2 | 2013 | 118 | |
| 3 | 2007 | 110 | |
| 4 | 2009 | 103 | |
| 5 | 2007 | 53 | |
| 6 | 2010 | 34 | |
| 7 | 2008 | 27 | |
| 8 | 2009 | 18 | |
| 9 | 1996 | 14 | |
| 10 | 2009 | 2 | |
| 11 | 2015 | 1 | |
| 12 | Aplicación del análisis de imágenes computarizado en la histopatología renal | 2003 | 0 |
About Marcelo Ferder
Marcelo Ferder is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Nephrology and Artificial Intelligence, having authored 12 papers that have together received 603 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (3 papers), Renin-Angiotensin System Studies (3 papers), Adipose Tissue and Metabolism (3 papers), AI in cancer detection (2 papers), Liver Disease Diagnosis and Treatment (1 paper), Vitamin D Research Studies (1 paper), Diet, Metabolism, and Disease (1 paper) and Dialysis and Renal Disease Management (1 paper). The work is most often cited by research in Aging (22 citations), Endocrinology, Diabetes and Metabolism (134 citations), Pathology and Forensic Medicine (102 citations), Physiology (143 citations) and Cardiology and Cardiovascular Medicine (98 citations). Marcelo Ferder has collaborated with scholars based in Argentina, Puerto Rico and United States. Frequent co-authors include León Ferder, Felipe Inserra, Elena M. V. de Cavanagh, Walter A. Manucha, Inés Stella, Jorge Eduardo Toblli, Idhaliz Flores, Luís Alberto Romano, Nidia Basso and Cristina Marelli. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Plastic & Reconstructive Surgery, American Journal of Physiology-Heart and Circulatory Physiology, American Journal of Nephrology and Experimental Gerontology.
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.