M.L. Vallano
Impact in
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- Neuroscience and Neuropharmacology Research
- Cell Biology top 10%
- Cellular transport and secretion
- Microtubule and mitosis dynamics
Papers in
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- Neuroscience and Neuropharmacology Research 5
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- Ion channel regulation and function 5
- Connexins and lens biology 2
- 14-3-3 protein interactions 1
- Microbial Metabolic Engineering and Bioproduction 1
- Lipid Membrane Structure and Behavior 1
- Co-authors
- Mario Delmar (2 shared papers)Steven M. Taffet (2 shared papers)Larry C. Stoner (1 shared paper)José Jalife (1 shared paper)Robert John DeLorenzo (2 shared papers)Edward A. Monaco (1 shared paper)JR Goldenring (1 shared paper)Yuan Ming Luo (1 shared paper)
- Journals
- Neuroscience (3 papers)Mini-Reviews in Medicinal Chemistry (2 papers)Journal of Biological Chemistry (1 paper)American Journal of Physiology-Endocrinology and Metabolism (1 paper)Current Medicinal Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
M.L. Vallano
12 papers receiving 507 citations
Peers
Comparison fields: 5 of 67
- Cellular and Molecular Neuroscience 168
- Cell Biology 126
- Developmental Neuroscience 27
- Molecular Biology 417
- Endocrine and Autonomic Systems 18
Countries citing papers authored by M.L. Vallano
This map shows the geographic impact of M.L. Vallano'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 M.L. Vallano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.L. Vallano more than expected).
Fields of papers citing papers by M.L. Vallano
This network shows the impact of papers produced by M.L. Vallano. 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 M.L. Vallano. The network helps show where M.L. Vallano may publish in the future.
Co-authors
The 24 scholars most cited alongside M.L. Vallano, 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 | 1993 | 153 | |
| 2 | 1986 | 97 | |
| 3 | 1993 | 62 | |
| 4 | 1992 | 61 | |
| 5 | 1985 | 47 | |
| 6 | 2003 | 33 | |
| 7 | 2008 | 30 | |
| 8 | 1991 | 18 | |
| 9 | 1994 | 14 | |
| 10 | 1993 | 13 | |
| 11 | 1983 | 7 | |
| 12 | 2006 | 5 |
About M.L. Vallano
M.L. Vallano is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Cell Biology and Developmental Neuroscience, having authored 12 papers that have together received 540 indexed citations. Recurring topics across this work include Ion channel regulation and function (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Connexins and lens biology (2 papers), Microtubule and mitosis dynamics (2 papers), 14-3-3 protein interactions (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (168 citations), Cell Biology (126 citations), Developmental Neuroscience (27 citations), Molecular Biology (417 citations) and Endocrine and Autonomic Systems (18 citations). M.L. Vallano has collaborated with scholars based in United States. Frequent co-authors include Mario Delmar, Steven M. Taffet, Larry C. Stoner, José Jalife, Robert John DeLorenzo, Edward A. Monaco, JR Goldenring, Yuan Ming Luo, Karina F. Meiri and Ludwig A. Sternberger. Their work appears in journals such as Neuroscience, Mini-Reviews in Medicinal Chemistry, Journal of Biological Chemistry, American Journal of Physiology-Endocrinology and Metabolism and Current Medicinal Chemistry.
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.