Gregory S. Naeve
- Cellular and Molecular Neuroscience top 5%
- Physiology top 5%
- Molecular Biology
- Neurology top 5%
- Oncology
- Co-authors
- Alan C. FosterGail VergeErin D. MilliganLinda R. WatkinsM. RamakrishnanYoav CitriLars E. TheillAmy S. Lee
- Topics
- Neuroscience and Neuropharmacology Research (3 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)Glycosylation and Glycoproteins Research (2 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchCurrent Opinion in Cell Biology
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Gregory S. Naeve
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Cellular and Molecular Neuroscience 461
- Physiology 449
- Molecular Biology 362
- Neurology 168
- Oncology 160
Countries citing papers authored by Gregory S. Naeve
This map shows the geographic impact of Gregory S. Naeve'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 Gregory S. Naeve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory S. Naeve more than expected).
Fields of papers citing papers by Gregory S. Naeve
This network shows the impact of papers produced by Gregory S. Naeve. 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 Gregory S. Naeve. The network helps show where Gregory S. Naeve may publish in the future.
Co-authorship network of co-authors of Gregory S. Naeve
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory S. Naeve. A scholar is included among the top collaborators of Gregory S. Naeve based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gregory S. Naeve. Gregory S. Naeve is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 4 | |
| 3 | 223 | |
| 4 | 318 | |
| 5 | 53 | |
| 6 | 53 | |
| 7 | 23 | |
| 8 | 208 | |
| 9 | 7 | |
| 10 | 53 | |
| 11 | 21 | |
| 12 | Identification of a 10-base pair protein binding site in the promoter of the hamster H3.2 gene required for the S phase dependent increase in transcription and its interaction with a Jun-like nuclear factor. | 11 |
| 13 | 22 | |
| 14 | 5 | |
| 15 | 68 | |
| 16 | 19 |
About Gregory S. Naeve
Gregory S. Naeve is a scholar working on Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (461 citations), Neurology (168 citations) and Developmental Neuroscience (74 citations). Gregory S. Naeve has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Alan C. Foster, Gail Verge, Erin D. Milligan, Linda R. Watkins, M. Ramakrishnan, Yoav Citri, Lars E. Theill, Amy S. Lee, Alan L. Epstein and Steven F. Maier. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Current Opinion in Cell Biology.
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.