Elena Padrell
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
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- Receptor Mechanisms and Signaling
- Ion channel regulation and function
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- Cellular transport and secretion 3
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- Ion channel regulation and function 5
- Protein Kinase Regulation and GTPase Signaling 3
- Receptor Mechanisms and Signaling 3
- Metabolism, Diabetes, and Cancer 1
- Co-authors
- Ravi Iyengar (7 shared papers)Donna J. Carty (4 shared papers)Juan Codina (3 shared papers)Lutz Birnbaumer (3 shared papers)Thomas M. Moriarty (2 shared papers)Susan E. Senogles (1 shared paper)Spiegel Am (1 shared paper)M G Caron (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Nature (2 papers)Endocrinology (1 paper)Bipolar Disorders (1 paper)Elsevier eBooks (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Elena Padrell
8 papers receiving 773 citations
Peers
Comparison fields: 5 of 67
- Cellular and Molecular Neuroscience 288
- Molecular Biology 611
- Cell Biology 95
- Psychiatry and Mental health 70
- Aging 8
Countries citing papers authored by Elena Padrell
This map shows the geographic impact of Elena Padrell'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 Elena Padrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Padrell more than expected).
Fields of papers citing papers by Elena Padrell
This network shows the impact of papers produced by Elena Padrell. 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 Elena Padrell. The network helps show where Elena Padrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Elena Padrell, 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 | 1988 | 274 | |
| 2 | 1990 | 166 | |
| 3 | 1990 | 162 | |
| 4 | 2002 | 75 | |
| 5 | 1990 | 68 | |
| 6 | 1991 | 41 | |
| 7 | 1987 | 22 | |
| 8 | 1990 | 2 |
About Elena Padrell
Elena Padrell is a scholar working on Cell Biology, Molecular Biology, Psychiatry and Mental health, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 810 indexed citations. Recurring topics across this work include Ion channel regulation and function (5 papers), Cellular transport and secretion (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Receptor Mechanisms and Signaling (3 papers), Pancreatic function and diabetes (1 paper), Diabetes Treatment and Management (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Bipolar Disorder and Treatment (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (288 citations), Molecular Biology (611 citations), Cell Biology (95 citations), Psychiatry and Mental health (70 citations) and Aging (8 citations). Elena Padrell has collaborated with scholars based in United States and Spain. Frequent co-authors include Ravi Iyengar, Donna J. Carty, Juan Codina, Lutz Birnbaumer, Thomas M. Moriarty, Susan E. Senogles, Spiegel Am, M G Caron, Arthur M Brown and Rafael Mattera. Their work appears in journals such as Journal of Biological Chemistry, Nature, Endocrinology, Bipolar Disorders and Elsevier eBooks.
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.