Daniel Darvish
- Neurology top 2%
- Neurology top 5%
- Cell Biology top 5%
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 3
- Physiology top 10%
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- Inflammatory Myopathies and Dermatomyositis 11
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- Muscle Physiology and Disorders 5
- Protein Kinase Regulation and GTPase Signaling 3
- Glycosylation and Glycoproteins Research 2
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- Celiac Disease Research and Management 2
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- Cardiomyopathy and Myosin Studies 2
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- Renal Diseases and Glomerulopathies 2
- Co-authors
- Margaret J. KovachMichael P. WhyteSarju MehtaGiles D. WattsAlan PestronkVirginia KimonisSteven MummPatricia M. Zerfas
- Cited by
- NeurologyCell BiologyGenetics
- Journals
- Molecular Genetics and Metabolism (2 papers)Molecular Therapy (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Daniel Darvish
16 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Neurology 524
- Neurology 182
- Cell Biology 299
- Genetics 188
- Physiology 304
Countries citing papers authored by Daniel Darvish
This map shows the geographic impact of Daniel Darvish'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 Daniel Darvish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Darvish more than expected).
Fields of papers citing papers by Daniel Darvish
This network shows the impact of papers produced by Daniel Darvish. 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 Daniel Darvish. The network helps show where Daniel Darvish may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Darvish, 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 | 7 | |
| 2 | 2013 | 13 | |
| 3 | 2012 | 25 | |
| 4 | 2011 | 13 | |
| 5 | 2011 | 27 | |
| 6 | 2010 | 18 | |
| 7 | 2009 | 2 | |
| 8 | 2008 | 3 | |
| 9 | 2008 | 10 | |
| 10 | 2007 | 144 | |
| 11 | 2006 | 7 | |
| 12 | 2006 | 1 | |
| 13 | 2005 | 6 | |
| 14 | Inclusion body myopathy associated with Paget disease of bone and frontotemporal dementia is caused by mutant valosin-containing proteinbreakdown → | 2004 | 1019 |
| 15 | 2002 | 19 | |
| 16 | 2002 | 11 |
About Daniel Darvish
Daniel Darvish is a scholar working on Nephrology, Genetics, Gastroenterology, Epidemiology and Molecular Biology, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (11 papers), Muscle Physiology and Disorders (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Celiac Disease Research and Management (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Neurology (524 citations), Neurology (182 citations), Cell Biology (299 citations), Genetics (188 citations) and Physiology (304 citations). Daniel Darvish has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Margaret J. Kovach, Michael P. Whyte, Sarju Mehta, Giles D. Watts, Alan Pestronk, Virginia Kimonis, Steven Mumm, Patricia M. Zerfas, Carla Ciccone and Irini Manoli. Their work appears in journals such as Molecular Genetics and Metabolism, Molecular Therapy, Nature Genetics, American Journal Of Pathology and Journal of Clinical Investigation.
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.