John Concannon
Impact in
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- Neurogenetic and Muscular Disorders Research
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- Effects and risks of endocrine disrupting chemicals
Papers in
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- Ubiquitin and proteasome pathways 1
- 14-3-3 protein interactions 1
- Genetics 2
- Co-authors
- Marcie A. Glicksman (5 shared papers)Min Liu (2 shared papers)Vincent P. Markowski (1 shared paper)Brian C. Kraemer (1 shared paper)Marisa S. Feiler (1 shared paper)Kathleen Seyb (3 shared papers)Justin D. Boyd (1 shared paper)Nava Zaarur (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)SLAS DISCOVERY (2 papers)Developmental Cell (1 paper)Environmental Health Perspectives (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
John Concannon
11 papers receiving 340 citations
Peers
Comparison fields: 5 of 86
- Genetics 50
- Health, Toxicology and Mutagenesis 50
- Aging 6
- Neurology 41
- Molecular Biology 176
Countries citing papers authored by John Concannon
This map shows the geographic impact of John Concannon'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 John Concannon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Concannon more than expected).
Fields of papers citing papers by John Concannon
This network shows the impact of papers produced by John Concannon. 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 John Concannon. The network helps show where John Concannon may publish in the future.
Co-authors
The 25 scholars most cited alongside John Concannon, 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 | 2013 | 61 | |
| 2 | 2005 | 47 | |
| 3 | 2009 | 44 | |
| 4 | 2019 | 41 | |
| 5 | 2021 | 35 | |
| 6 | 2018 | 29 | |
| 7 | 2016 | 25 | |
| 8 | 2014 | 23 | |
| 9 | 2020 | 20 | |
| 10 | Lowering of amyloid beta peptide production with a small molecule inhibitor of amyloid-β precursor protein dimerization. | 2012 | 17 |
| 11 | 2015 | 3 |
About John Concannon
John Concannon is a scholar working on Molecular Biology, Genetics, Oncology, Biophysics and Immunology, having authored 11 papers that have together received 345 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (2 papers), Demographic Trends and Gender Preferences (1 paper), Ubiquitin and proteasome pathways (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper), Alzheimer's disease research and treatments (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Wound Healing and Treatments (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Genetics (50 citations), Health, Toxicology and Mutagenesis (50 citations), Aging (6 citations), Neurology (41 citations) and Molecular Biology (176 citations). John Concannon has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Marcie A. Glicksman, Min Liu, Vincent P. Markowski, Brian C. Kraemer, Marisa S. Feiler, Kathleen Seyb, Justin D. Boyd, Nava Zaarur, Atsushi Ebata and Benjamin Wolozin. Their work appears in journals such as Journal of Biological Chemistry, SLAS DISCOVERY, Developmental Cell, Environmental Health Perspectives and PLoS ONE.
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.