Marcelo Ferder
- Physiology
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Pathology and Forensic Medicine
- Co-authors
- León FerderFelipe InserraElena M. V. de CavanaghWalter ManuchaInés StellaJorge E. ToblliIdhaliz FloresLuís Alberto Romano
- Topics
- Mitochondrial Function and Pathology (3 papers)Renin-Angiotensin System Studies (3 papers)Adipose Tissue and Metabolism (3 papers)
- Journals
- American Journal of Physiology-Heart and Circulatory PhysiologyAmerican Journal of Physiology-Cell PhysiologyPlastic & Reconstructive Surgery
- Partner nations
- ArgentinaPuerto RicoUnited States
In The Last Decade
Marcelo Ferder
10 papers receiving 544 citations
Peers
Comparison fields: 5 of 92
- Physiology 160
- Molecular Biology 138
- Endocrinology, Diabetes and Metabolism 138
- Cardiology and Cardiovascular Medicine 103
- Pathology and Forensic Medicine 101
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-authorship network of co-authors of Marcelo Ferder
This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Ferder. A scholar is included among the top collaborators of Marcelo Ferder 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 Marcelo Ferder. Marcelo Ferder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 106 | |
| 3 | 32 | |
| 4 | 111 | |
| 5 | 96 | |
| 6 | 2 | |
| 7 | 17 | |
| 8 | 26 | |
| 9 | 51 | |
| 10 | 105 | |
| 11 | Aplicación del análisis de imágenes computarizado en la histopatología renal | 0 |
| 12 | 14 |
About Marcelo Ferder
Marcelo Ferder is a scholar working on Nephrology, Nutrition and Dietetics and Physiology, having authored 12 papers that have together received 561 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (3 papers), Renin-Angiotensin System Studies (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Aging (21 citations), Endocrinology, Diabetes and Metabolism (138 citations) and Physiology (160 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 Manucha, Inés Stella, Jorge E. Toblli, Idhaliz Flores, Luís Alberto Romano, Nidia Basso and Adrián Guinsburg. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, American Journal of Physiology-Cell Physiology and Plastic & Reconstructive Surgery.
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.