Natalia E. Furland
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
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- Sphingolipid Metabolism and Signaling 6
- Lipid Membrane Structure and Behavior 2
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- Lipid metabolism and biosynthesis 9
- Co-authors
- Marta I. Aveldaño (11 shared papers)Gerardo M. Oresti (6 shared papers)Eduardo N. Maldonado (6 shared papers)Silvia S. Antollini (2 shared papers)Samanta Romina Zanetti (1 shared paper)Andrés Venturino (1 shared paper)Ana Sofía Vallés (4 shared papers)Juan G. Reyes (2 shared papers)
In The Last Decade
Natalia E. Furland
16 papers receiving 408 citations
Peers
Comparison fields: 5 of 64
- Reproductive Medicine 155
- Biochemistry 95
- Physiology 33
- Nutrition and Dietetics 70
- Aquatic Science 33
Countries citing papers authored by Natalia E. Furland
This map shows the geographic impact of Natalia E. Furland'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 Natalia E. Furland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia E. Furland more than expected).
Fields of papers citing papers by Natalia E. Furland
This network shows the impact of papers produced by Natalia E. Furland. 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 Natalia E. Furland. The network helps show where Natalia E. Furland may publish in the future.
Co-authors
The 18 scholars most cited alongside Natalia E. Furland, 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 | 2007 | 77 | |
| 2 | 2007 | 71 | |
| 3 | 2010 | 49 | |
| 4 | 2003 | 40 | |
| 5 | 2011 | 35 | |
| 6 | 2014 | 26 | |
| 7 | 2007 | 25 | |
| 8 | 2018 | 19 | |
| 9 | 2013 | 15 | |
| 10 | 2011 | 14 | |
| 11 | 2022 | 12 | |
| 12 | 2002 | 10 | |
| 13 | 2021 | 8 | |
| 14 | 2014 | 7 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2016 | 0 |
About Natalia E. Furland
Natalia E. Furland is a scholar working on Molecular Biology, Biochemistry, Reproductive Medicine, Surgery and Nutrition and Dietetics, having authored 17 papers that have together received 413 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (9 papers), Sperm and Testicular Function (7 papers), Sphingolipid Metabolism and Signaling (6 papers), Fatty Acid Research and Health (4 papers), Cholesterol and Lipid Metabolism (3 papers), Birth, Development, and Health (3 papers), Diet, Metabolism, and Disease (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Reproductive Medicine (155 citations), Biochemistry (95 citations), Physiology (33 citations), Nutrition and Dietetics (70 citations) and Aquatic Science (33 citations). Natalia E. Furland has collaborated with scholars based in Argentina, Chile and Spain. Frequent co-authors include Marta I. Aveldaño, Gerardo M. Oresti, Eduardo N. Maldonado, Silvia S. Antollini, Samanta Romina Zanetti, Andrés Venturino, Ana Sofía Vallés, Juan G. Reyes, Nelson Osses and Graciela Laura Pennacchiotti. Their work appears in journals such as Journal of Lipid Research, Developmental Neurobiology, Journal of Biological Chemistry, PLoS ONE and Toxicology and Applied Pharmacology.
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.