Carmen Sato‐Bigbee
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms 17
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 5
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- Neuropeptides and Animal Physiology 6
- Nerve injury and regeneration 5
- Neuroscience and Neuropharmacology Research 3
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- Prenatal Substance Exposure Effects 3
- Pathology and Forensic Medicine top 10%
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- Sphingolipid Metabolism and Signaling 5
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- MicroRNA in disease regulation 3
- Co-authors
- Susan RobinsonJohn W. BigbeeSarah SpiegelShawn G. PayneRobert BittmanShubhro PalGeorge H. DeVriesWambura Fobbs
- Partner nations
- United StatesUnited KingdomBulgaria
In The Last Decade
Carmen Sato‐Bigbee
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Developmental Neuroscience 357
- Neurology 196
- Cellular and Molecular Neuroscience 289
- Pediatrics, Perinatology and Child Health 223
- Pathology and Forensic Medicine 174
Countries citing papers authored by Carmen Sato‐Bigbee
This map shows the geographic impact of Carmen Sato‐Bigbee'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 Carmen Sato‐Bigbee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Sato‐Bigbee more than expected).
Fields of papers citing papers by Carmen Sato‐Bigbee
This network shows the impact of papers produced by Carmen Sato‐Bigbee. 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 Carmen Sato‐Bigbee. The network helps show where Carmen Sato‐Bigbee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carmen Sato‐Bigbee, 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 | 2023 | 0 | |
| 2 | 2021 | 19 | |
| 3 | 2020 | 10 | |
| 4 | 2017 | 19 | |
| 5 | 2014 | 101 | |
| 6 | 2011 | 45 | |
| 7 | 2010 | 25 | |
| 8 | 2009 | 64 | |
| 9 | 2009 | 26 | |
| 10 | 2008 | 114 | |
| 11 | 2004 | 43 | |
| 12 | 2001 | 52 | |
| 13 | 2001 | 10 | |
| 14 | 2000 | 52 | |
| 15 | 1999 | 72 | |
| 16 | 1996 | 46 | |
| 17 | 1996 | 9 | |
| 18 | 1993 | 27 | |
| 19 | 1992 | 7 | |
| 20 | 1991 | 2 |
About Carmen Sato‐Bigbee
Carmen Sato‐Bigbee is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (17 papers), Neuropeptides and Animal Physiology (6 papers), Nerve injury and regeneration (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Sphingolipid Metabolism and Signaling (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Prenatal Substance Exposure Effects (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Developmental Neuroscience (357 citations), Neurology (196 citations) and Cellular and Molecular Neuroscience (289 citations). Carmen Sato‐Bigbee has collaborated with scholars based in United States, United Kingdom and Bulgaria. Frequent co-authors include Susan Robinson, John W. Bigbee, Sarah Spiegel, Shawn G. Payne, Robert Bittman, Shubhro Pal, George H. DeVries, Wambura Fobbs, Robert K. Yu and Raymond J. Colello. Their work appears in journals such as Journal of Neuroscience, Brain and Journal of Neurochemistry.
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.