Jeffrey M. Long
- Molecular Biology top 5%
- Physiology top 2%
- Cellular and Molecular Neuroscience top 1%
- Epidemiology top 2%
- Cognitive Neuroscience top 2%
- Co-authors
- Anthony Wynshaw‐BorisDonald K. IngramJerrold M. OlefskyGiuseppe PoliZhi-Wei LiAndrea L. HevenerMelek C. ArkanFlorian R. Greten
- Topics
- Memory and Neural Mechanisms (14 papers)Neuroinflammation and Neurodegeneration Mechanisms (12 papers)Neuroscience and Neuropharmacology Research (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Medicine
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Jeffrey M. Long
55 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.6k
- Physiology 1.3k
- Cellular and Molecular Neuroscience 1.1k
- Epidemiology 1.0k
- Cognitive Neuroscience 826
Countries citing papers authored by Jeffrey M. Long
This map shows the geographic impact of Jeffrey M. Long'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 Jeffrey M. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey M. Long more than expected).
Fields of papers citing papers by Jeffrey M. Long
This network shows the impact of papers produced by Jeffrey M. Long. 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 Jeffrey M. Long. The network helps show where Jeffrey M. Long may publish in the future.
Co-authorship network of co-authors of Jeffrey M. Long
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey M. Long. A scholar is included among the top collaborators of Jeffrey M. Long 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 Jeffrey M. Long. Jeffrey M. Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 7 | |
| 3 | 23 | |
| 4 | 48 | |
| 5 | 169 | |
| 6 | 2 | |
| 7 | 59 | |
| 8 | IKK-β links inflammation to obesity-induced insulin resistancebreakdown → | 1456 |
| 9 | 176 | |
| 10 | 153 | |
| 11 | 261 | |
| 12 | 28 | |
| 13 | 20 | |
| 14 | 23 | |
| 15 | 133 | |
| 16 | 37 | |
| 17 | 53 | |
| 18 | 166 | |
| 19 | 14 | |
| 20 | 27 |
About Jeffrey M. Long
Jeffrey M. Long is a scholar working on Developmental Neuroscience, Neurology and Behavioral Neuroscience, having authored 57 papers that have together received 5.0k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers) and Neuroscience and Neuropharmacology Research (12 papers). The work is most often cited by research in Developmental Neuroscience (721 citations), Neurology (764 citations) and Behavioral Neuroscience (309 citations). Jeffrey M. Long has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Anthony Wynshaw‐Boris, Donald K. Ingram, Jerrold M. Olefsky, Giuseppe Poli, Zhi-Wei Li, Andrea L. Hevener, Melek C. Arkan, Florian R. Greten, Shin Maeda and Michael Karin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
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.