John Koren
Impact in
- Aging top 2%
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Heat shock proteins research 25
- Signaling Pathways in Disease 4
- Protein Structure and Dynamics 4
- Cell Biology 15
- Endoplasmic Reticulum Stress and Disease 15
- Co-authors
- Chad A. Dickey (29 shared papers)Umesh K. Jinwal (19 shared papers)Laura J. Blair (21 shared papers)Jeffrey R. Jones (11 shared papers)John C. O’Leary (14 shared papers)Jose F. Abisambra (12 shared papers)Amelia G. Johnson (9 shared papers)Jason E. Gestwicki (7 shared papers)
- Journals
- Journal of Neuroscience (4 papers)Journal of Biological Chemistry (4 papers)ACS Chemical Biology (2 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
John Koren
48 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 109
- Aging 93
- Cell Biology 603
- Biological Psychiatry 84
- Physiology 713
- Behavioral Neuroscience 88
Countries citing papers authored by John Koren
This map shows the geographic impact of John Koren'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 Koren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Koren more than expected).
Fields of papers citing papers by John Koren
This network shows the impact of papers produced by John Koren. 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 Koren. The network helps show where John Koren may publish in the future.
Co-authors
The 25 scholars most cited alongside John Koren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 196 | |
| 2 | 2008 | 182 | |
| 3 | 2010 | 163 | |
| 4 | 2010 | 155 | |
| 5 | 2014 | 138 | |
| 6 | 2008 | 114 | |
| 7 | 2017 | 109 | |
| 8 | 2010 | 102 | |
| 9 | 2017 | 95 | |
| 10 | 2010 | 94 | |
| 11 | 2010 | 75 | |
| 12 | 2009 | 72 | |
| 13 | 2012 | 70 | |
| 14 | 2008 | 69 | |
| 15 | 2010 | 66 | |
| 16 | 2017 | 62 | |
| 17 | 2011 | 59 | |
| 18 | 2021 | 54 | |
| 19 | 2011 | 53 | |
| 20 | 2014 | 51 |
About John Koren
John Koren is a scholar working on Molecular Biology, Cell Biology, Physiology, Aging and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 2.5k indexed citations. Recurring topics across this work include Heat shock proteins research (25 papers), Endoplasmic Reticulum Stress and Disease (15 papers), Alzheimer's disease research and treatments (11 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Computational Drug Discovery Methods (5 papers), Signaling Pathways in Disease (4 papers), Protein Structure and Dynamics (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Aging (93 citations), Cell Biology (603 citations), Biological Psychiatry (84 citations), Physiology (713 citations) and Behavioral Neuroscience (88 citations). John Koren has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Chad A. Dickey, Umesh K. Jinwal, Laura J. Blair, Jeffrey R. Jones, John C. O’Leary, Jose F. Abisambra, Amelia G. Johnson, Jason E. Gestwicki, Daniel C. Lee and Brian S. J. Blagg. Their work appears in journals such as Journal of Neuroscience, Journal of Biological Chemistry, ACS Chemical Biology, Scientific Reports 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.