Patrick Loerch
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
Papers in
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- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Mitochondrial Function and Pathology 1
- Bioinformatics and Genomic Networks 1
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- Alzheimer's disease research and treatments 3
- Co-authors
- Bruce A. Yankner (3 shared papers)Tao Lu (2 shared papers)John C. Castle (3 shared papers)Christopher D. Armour (3 shared papers)Jason M. Johnson (3 shared papers)Daniel Shoemaker (2 shared papers)Eric E. Schadt (2 shared papers)Roland Stoughton (2 shared papers)
- Journals
- PLoS ONE (2 papers)Nature Methods (1 paper)Cell (1 paper)Genome biology (1 paper)Nature Reviews Drug Discovery (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Patrick Loerch
8 papers receiving 2.8k citations
Patrick Loerch's Hit Papers
Peers
Comparison fields: 5 of 114
- Aging 213
- Geriatrics and Gerontology 331
- Molecular Biology 1.8k
- Biological Psychiatry 55
- Neurology 170
Countries citing papers authored by Patrick Loerch
This map shows the geographic impact of Patrick Loerch'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 Patrick Loerch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Loerch more than expected).
Fields of papers citing papers by Patrick Loerch
This network shows the impact of papers produced by Patrick Loerch. 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 Patrick Loerch. The network helps show where Patrick Loerch may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Loerch, 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 | Genome-Wide Survey of Human Alternative Pre-mRNA Splicing with Exon Junction Microarrays Hit paper breakdown → | 2003 | 1146 |
| 2 | SIRT1 Redistribution on Chromatin Promotes Genomic Stability but Alters Gene Expression during Aging Hit paper breakdown → | 2008 | 689 |
| 3 | The Aging Brain Hit paper breakdown → | 2008 | 557 |
| 4 | 2008 | 260 | |
| 5 | 2009 | 135 | |
| 6 | 2003 | 73 | |
| 7 | 2015 | 19 | |
| 8 | 2024 | 4 |
About Patrick Loerch
Patrick Loerch is a scholar working on Molecular Biology, Physiology, Neurology, Geriatrics and Gerontology and Rheumatology, having authored 8 papers that have together received 2.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Mitochondrial Function and Pathology (1 paper), Biosimilars and Bioanalytical Methods (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Aging (213 citations), Geriatrics and Gerontology (331 citations), Molecular Biology (1.8k citations), Biological Psychiatry (55 citations) and Neurology (170 citations). Patrick Loerch has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Bruce A. Yankner, Tao Lu, John C. Castle, Christopher D. Armour, Jason M. Johnson, Daniel Shoemaker, Eric E. Schadt, Roland Stoughton, Zhengyan Kan and Philip W. Garrett-Engele. Their work appears in journals such as PLoS ONE, Nature Methods, Cell, Genome biology and Nature Reviews Drug Discovery.
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.