Kim N. Green
- Physiology top 0.1%
- Neurology top 0.02%
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 0.2%
- Pharmacology top 0.2%
- Co-authors
- Frank M. LaFerlaSalvatore OddoLauren M. BillingsElizabeth E. SpangenbergJames L. McGaughMasashi KitazawaBrian L. WestAllison R. Najafi
- Topics
- Alzheimer's disease research and treatments (59 papers)Neuroinflammation and Neurodegeneration Mechanisms (45 papers)Neuroscience and Neuropharmacology Research (23 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Kim N. Green
102 papers receiving 14.0k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Physiology 7.0k
- Neurology 5.3k
- Molecular Biology 4.2k
- Cellular and Molecular Neuroscience 3.5k
- Pharmacology 1.8k
Countries citing papers authored by Kim N. Green
This map shows the geographic impact of Kim N. Green'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 Kim N. Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim N. Green more than expected).
Fields of papers citing papers by Kim N. Green
This network shows the impact of papers produced by Kim N. Green. 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 Kim N. Green. The network helps show where Kim N. Green may publish in the future.
Co-authorship network of co-authors of Kim N. Green
This figure shows the co-authorship network connecting the top 25 collaborators of Kim N. Green. A scholar is included among the top collaborators of Kim N. Green 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 Kim N. Green. Kim N. Green is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 18 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 31 | |
| 8 | 94 | |
| 9 | 17 | |
| 10 | 62 | |
| 11 | 71 | |
| 12 | 82 | |
| 13 | 42 | |
| 14 | 108 | |
| 15 | 48 | |
| 16 | 319 | |
| 17 | 270 | |
| 18 | 34 | |
| 19 | 28 | |
| 20 | 38 |
About Kim N. Green
Kim N. Green is a scholar working on Neurology, Biological Psychiatry and Physiology, having authored 105 papers that have together received 14.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (59 papers), Neuroinflammation and Neurodegeneration Mechanisms (45 papers) and Neuroscience and Neuropharmacology Research (23 papers). The work is most often cited by research in Neurology (5.3k citations), Biological Psychiatry (1.5k citations) and Developmental Neuroscience (1.3k citations). Kim N. Green has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Frank M. LaFerla, Salvatore Oddo, Lauren M. Billings, Elizabeth E. Spangenberg, James L. McGaugh, Masashi Kitazawa, Brian L. West, Allison R. Najafi, Monica R. P. Elmore and Hilda Martínez‐Coria. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.