León Ferder

105 papers receiving 4.8k citations

Peers

León Ferder
Comparison fields: 5 of 136
  • Aging 194
  • Nephrology 430
  • Cardiology and Cardiovascular Medicine 1.1k
  • Endocrinology, Diabetes and Metabolism 751
  • Pathology and Forensic Medicine 728
Replace Felipe Inserra with:
Felipe Inserra Argentina
Zhiming Zhu China
Rutai Hui China
Munehide Matsuhisa Japan
Zhongjie Sun United States
Masanori Iwaki Japan
Takashi Uzu Japan
Annayya R. Aroor United States
Akio Fujimura Japan
Atsunori Kashiwagi Japan
León Ferder relative to Felipe Inserra Argentina Felipe Inserra's profile →
Citations per field
00.5×1.5×2.4×
Felipe Inserra · 1×
Citations per year

Countries citing papers authored by León Ferder

Since Specialization
Citations

This map shows the geographic impact of León 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 León Ferder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites León Ferder more than expected).

Fields of papers citing papers by León Ferder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by León 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 León Ferder. The network helps show where León Ferder may publish in the future.

Co-authors

The 25 scholars most cited alongside León Ferder, 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 León Ferder Line = papers co-authored together León Ferder links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014240
2 1995225
3 2003161
4 2017155
5 2007152
6 2000142
7 2005137
8 2015132
9 2001129
10 2010122
11 2010120
12 1997120
13 2020118
14 2013111
15 2007109
16 2020104
17 2006104
18 2009101
19 200686
20 199582

About León Ferder

León Ferder is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Physiology, having authored 108 papers that have together received 5.0k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (18 papers), Vitamin D Research Studies (16 papers), Hormonal Regulation and Hypertension (14 papers), Adipose Tissue and Metabolism (12 papers), Vitamin C and Antioxidants Research (11 papers), Mitochondrial Function and Pathology (9 papers), COVID-19 Clinical Research Studies (7 papers) and Electrolyte and hormonal disorders (7 papers). The work is most often cited by research in Aging (194 citations), Nephrology (430 citations), Cardiology and Cardiovascular Medicine (1.1k citations), Endocrinology, Diabetes and Metabolism (751 citations) and Pathology and Forensic Medicine (728 citations). León Ferder has collaborated with scholars based in Argentina, Puerto Rico and United States. Frequent co-authors include Felipe Inserra, Walter Manucha, Elena M. V. de Cavanagh, Inés Stella, Marcelo Ferder, César G. Fraga, Kazim Husain, Jorge E. Toblli, Rais A. Ansari and Nidia Basso. Their work appears in journals such as Current Hypertension Reports, Hypertension, American Journal of Nephrology, American Journal of Physiology-Heart and Circulatory Physiology and The FASEB Journal.

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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