Guy M. Lenk
Impact in
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Cell Biology top 2%
- Cellular transport and secretion
Papers in
-
- Hereditary Neurological Disorders 15
- Cell Biology 11
- Cellular transport and secretion 11
- Co-authors
- Miriam H. Meisler (24 shared papers)Cole Ferguson (7 shared papers)Julie Miller Jones (4 shared papers)Helena Kuivaniemi (9 shared papers)Lois S. Weisman (4 shared papers)Gerard C. Tromp (8 shared papers)Roman J. Giger (8 shared papers)Clement Y. Chow (2 shared papers)
- Journals
- Human Molecular Genetics (5 papers)The American Journal of Human Genetics (3 papers)Journal of Cell Science (2 papers)PLoS Genetics (2 papers)Annals of the New York Academy of Sciences (2 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Guy M. Lenk
43 papers receiving 3.2k citations
Guy M. Lenk's Hit Papers
Peers
Comparison fields: 5 of 82
- Physiology 273
- Cell Biology 523
- Neurology 464
- Cellular and Molecular Neuroscience 438
- Genetics 467
Countries citing papers authored by Guy M. Lenk
This map shows the geographic impact of Guy M. Lenk'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 Guy M. Lenk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy M. Lenk more than expected).
Fields of papers citing papers by Guy M. Lenk
This network shows the impact of papers produced by Guy M. Lenk. 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 Guy M. Lenk. The network helps show where Guy M. Lenk may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy M. Lenk, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The same sequence variant on 9p21 associates with myocardial infarction, abdominal aortic aneurysm and intracranial aneurysm Hit paper breakdown → | 2008 | 600 |
| 2 | 2009 | 337 | |
| 3 | 2013 | 266 | |
| 4 | 2012 | 189 | |
| 5 | 2009 | 167 | |
| 6 | 2007 | 152 | |
| 7 | 2013 | 131 | |
| 8 | 2013 | 125 | |
| 9 | 2020 | 116 | |
| 10 | 2018 | 113 | |
| 11 | 2011 | 110 | |
| 12 | 2006 | 93 | |
| 13 | 2011 | 93 | |
| 14 | 2014 | 82 | |
| 15 | 2013 | 55 | |
| 16 | 2012 | 52 | |
| 17 | 2016 | 48 | |
| 18 | 2011 | 44 | |
| 19 | 2014 | 43 | |
| 20 | Basic research studies to understand aneurysm disease. | 2008 | 42 |
About Guy M. Lenk
Guy M. Lenk is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Physiology, Epidemiology and Physiology, having authored 44 papers that have together received 3.3k indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (15 papers), Cellular transport and secretion (11 papers), Aortic aneurysm repair treatments (8 papers), Autophagy in Disease and Therapy (8 papers), Lysosomal Storage Disorders Research (7 papers), Calcium signaling and nucleotide metabolism (6 papers), Epilepsy research and treatment (2 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Physiology (273 citations), Cell Biology (523 citations), Neurology (464 citations), Cellular and Molecular Neuroscience (438 citations) and Genetics (467 citations). Guy M. Lenk has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Miriam H. Meisler, Cole Ferguson, Julie Miller Jones, Helena Kuivaniemi, Lois S. Weisman, Gerard C. Tromp, Roman J. Giger, Clement Y. Chow, Zoran Gatalica and Shantel Weinsheimer. Their work appears in journals such as Human Molecular Genetics, The American Journal of Human Genetics, Journal of Cell Science, PLoS Genetics and Annals of the New York Academy of Sciences.
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.