E. Freeman
Impact in
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- Neuroscience and Neuropharmacology Research
Papers in
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- Epigenetics and DNA Methylation 2
- Receptor Mechanisms and Signaling 2
- Protein Kinase Regulation and GTPase Signaling 2
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- Multiple Sclerosis Research Studies 2
- Co-authors
- E. Ann Tallant (2 shared papers)Jennifer McDonough (7 shared papers)Robert J. Clements (6 shared papers)Robert V. Dorman (2 shared papers)Derek S. Damron (2 shared papers)G M Chisolm (1 shared paper)Naveen Kumar Singhal (3 shared papers)Shuo Li (2 shared papers)
- Journals
- Experimental Brain Research (2 papers)Journal of Applied Polymer Science (1 paper)Neurochemical Research (1 paper)Advances in experimental medicine and biology (1 paper)Soft Matter (1 paper)
- Partner nations
- United StatesBulgariaFrance
In The Last Decade
E. Freeman
12 papers receiving 328 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 61
- Biochemistry 21
- Neurology 23
- Developmental Neuroscience 11
- Molecular Biology 165
Countries citing papers authored by E. Freeman
This map shows the geographic impact of E. Freeman'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 E. Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Freeman more than expected).
Fields of papers citing papers by E. Freeman
This network shows the impact of papers produced by E. Freeman. 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 E. Freeman. The network helps show where E. Freeman may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Freeman, 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 | 2017 | 65 | |
| 2 | 2016 | 39 | |
| 3 | 1994 | 38 | |
| 4 | 1991 | 36 | |
| 5 | 2013 | 35 | |
| 6 | 1995 | 29 | |
| 7 | 2017 | 25 | |
| 8 | 1992 | 23 | |
| 9 | 2018 | 20 | |
| 10 | 2012 | 12 | |
| 11 | 2023 | 6 | |
| 12 | 1963 | 1 |
About E. Freeman
E. Freeman is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Oncology, having authored 12 papers that have together received 329 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Receptor Mechanisms and Signaling (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Medicinal Plants and Neuroprotection (2 papers), Multiple Sclerosis Research Studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Advanced Materials and Mechanics (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (61 citations), Biochemistry (21 citations), Neurology (23 citations), Developmental Neuroscience (11 citations) and Molecular Biology (165 citations). E. Freeman has collaborated with scholars based in United States, Bulgaria and France. Frequent co-authors include E. Ann Tallant, Jennifer McDonough, Robert J. Clements, Robert V. Dorman, Derek S. Damron, G M Chisolm, Naveen Kumar Singhal, Shuo Li, David M. Terrian and Michael Sulak. Their work appears in journals such as Experimental Brain Research, Journal of Applied Polymer Science, Neurochemical Research, Advances in experimental medicine and biology and Soft Matter.
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.