Scott Lohr
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
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- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
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- Gene expression and cancer classification 1
- Bone Metabolism and Diseases 1
- Bioinformatics and Genomic Networks 1
- Protein Tyrosine Phosphatases 1
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- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Daniel J. Chin (3 shared papers)David von Schack (3 shared papers)Guy Cavet (2 shared papers)Zemin Zhang (2 shared papers)Karoly Nikolich (3 shared papers)Joseph C. Murray (2 shared papers)Peter M. Haverty (1 shared paper)Li Li (1 shared paper)
- Journals
- Journal of Neurochemistry (1 paper)Alzheimer s & Dementia (1 paper)Alzheimer s & Dementia Translational Research & Clinical Interventions (1 paper)Journal of Biological Chemistry (1 paper)Genes Chromosomes and Cancer (1 paper)
- Partner nations
- United StatesParaguaySpain
In The Last Decade
Scott Lohr
7 papers receiving 453 citations
Peers
Comparison fields: 5 of 63
- Neurology 79
- Cancer Research 113
- Immunology and Allergy 29
- Developmental Neuroscience 15
- Cell Biology 61
Countries citing papers authored by Scott Lohr
This map shows the geographic impact of Scott Lohr'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 Scott Lohr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Lohr more than expected).
Fields of papers citing papers by Scott Lohr
This network shows the impact of papers produced by Scott Lohr. 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 Scott Lohr. The network helps show where Scott Lohr may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Lohr, 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 | 2008 | 117 | |
| 2 | 2004 | 116 | |
| 3 | 2003 | 102 | |
| 4 | 2005 | 78 | |
| 5 | 2010 | 37 | |
| 6 | 2020 | 13 | |
| 7 | 2023 | 1 |
About Scott Lohr
Scott Lohr is a scholar working on Molecular Biology, Neurology, Physiology, Genetics and Cancer Research, having authored 7 papers that have together received 464 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Genomics and Rare Diseases (1 paper), Cancer Genomics and Diagnostics (1 paper), Gene expression and cancer classification (1 paper), Bone Metabolism and Diseases (1 paper), Bioinformatics and Genomic Networks (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Neurology (79 citations), Cancer Research (113 citations), Immunology and Allergy (29 citations), Developmental Neuroscience (15 citations) and Cell Biology (61 citations). Scott Lohr has collaborated with scholars based in United States, Paraguay and Spain. Frequent co-authors include Daniel J. Chin, David von Schack, Guy Cavet, Zemin Zhang, Karoly Nikolich, Joseph C. Murray, Peter M. Haverty, Li Li, Thomas D. Wu and Jane Fridlyand. Their work appears in journals such as Journal of Neurochemistry, Alzheimer s & Dementia, Alzheimer s & Dementia Translational Research & Clinical Interventions, Journal of Biological Chemistry and Genes Chromosomes and Cancer.
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.