Daniel Darvish

2.0k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

Daniel Darvish is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Daniel Darvish has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Epidemiology and 4 papers in Genetics. Recurrent topics in Daniel Darvish's work include Inflammatory Myopathies and Dermatomyositis (11 papers), Muscle Physiology and Disorders (5 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Daniel Darvish is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (11 papers), Muscle Physiology and Disorders (5 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Daniel Darvish collaborates with scholars based in United States, Canada and Italy. Daniel Darvish's co-authors include Alan Pestronk, Virginia Kimonis, Sarju Mehta, Steven Mumm, Michael P. Whyte, Giles D. Watts, Margaret J. Kovach, Carla Ciccone, Irini Manoli and Patricia M. Zerfas and has published in prestigious journals such as Journal of Clinical Investigation, Nature Genetics and American Journal Of Pathology.

In The Last Decade

Daniel Darvish

16 papers receiving 1.3k citations

Hit Papers

Inclusion body myopathy associated with Paget disease of ... 2004 2026 2011 2018 2004 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Inclusion body myopathy associated with Paget disease of bone and frontotemporal dementia is caused by mutant valosin-containing protein
    2004 1.0k citations Giles D. Watts, Margaret J. Kovach et al. Nature Genetics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Darvish United States 10 664 524 310 304 299 16 1.3k
Sarju Mehta United Kingdom 16 985 1.5× 687 1.3× 271 0.9× 321 1.1× 394 1.3× 27 1.9k
Angèle Nalbandian United States 16 376 0.6× 337 0.6× 206 0.7× 106 0.3× 207 0.7× 32 1.0k
Josefine Radke Germany 18 372 0.6× 219 0.4× 219 0.7× 170 0.6× 93 0.3× 42 1.2k
Noemí de Luna Spain 24 1.0k 1.6× 364 0.7× 167 0.5× 341 1.1× 107 0.4× 55 1.6k
Ruud A. Wolterman Netherlands 15 658 1.0× 397 0.8× 118 0.4× 175 0.6× 188 0.6× 24 1.5k
Ji-Ung Jung United States 20 702 1.1× 209 0.4× 63 0.2× 228 0.8× 224 0.7× 29 1.3k
Helen Griffin United Kingdom 23 1.0k 1.6× 174 0.3× 148 0.5× 92 0.3× 160 0.5× 49 1.5k
Josep Gámez Spain 27 877 1.3× 753 1.4× 90 0.3× 167 0.5× 85 0.3× 97 2.0k
E. T. Hedley‐Whyte United States 16 418 0.6× 367 0.7× 226 0.7× 75 0.2× 54 0.2× 28 1.2k
Joanne Wuu United States 14 383 0.6× 197 0.4× 80 0.3× 402 1.3× 189 0.6× 20 1.1k

Countries citing papers authored by Daniel Darvish

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Daniel Darvish

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Darvish. A scholar is included among the top collaborators of Daniel Darvish based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Darvish. Daniel Darvish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
No, Daniel J., et al.. (2013). Novel GNE Mutations in Autosomal Recessive Hereditary Inclusion Body Myopathy Patients. Genetic Testing and Molecular Biomarkers. 17(5). 376–382. 7 indexed citations
2.
Urtizberea, J. Andoni, et al.. (2013). Prevalence of GNE p.M712T and hereditary inclusion body myopathy (HIBM) in Sangesar population of Northern Iran. Clinical Genetics. 84(6). 589–592. 13 indexed citations
3.
Yardeni, Tal, Justin Poling, Carla Ciccone, et al.. (2012). The Gne M712T Mouse as a Model for Human Glomerulopathy. American Journal Of Pathology. 180(4). 1431–1440. 25 indexed citations
4.
No, Daniel J., et al.. (2011). Serum Neural Cell Adhesion Molecule Is Hyposialylated in Hereditary Inclusion Body Myopathy. Genetic Testing and Molecular Biomarkers. 16(5). 313–317. 13 indexed citations
5.
No, Daniel J., et al.. (2011). Wolman Disease (LIPA p.G87V) Genotype Frequency in People of Iranian-Jewish Ancestry. Genetic Testing and Molecular Biomarkers. 15(6). 395–398. 27 indexed citations
6.
No, Daniel J., Steven J. Shook, Jerry R. Mendell, et al.. (2010). Novel GNE Mutations in Hereditary Inclusion Body Myopathy Patients of Non-Middle Eastern Descent. Genetic Testing and Molecular Biomarkers. 14(2). 157–162. 18 indexed citations
7.
Pietruszka, Marvin, et al.. (2009). MTHFR C677T Genotype Frequency in Patients of Middle Eastern Descent as Determined by Real-Time PCR and Melting Curve Analysis. Genetic Testing and Molecular Biomarkers. 13(4). 471–476. 2 indexed citations
8.
Neshat, Mehran S., et al.. (2008). Validation of GNE :p.M712T Identification by Melting Curve Analysis. Genetic Testing. 12(1). 101–109. 3 indexed citations
9.
Jay, Chris, Gregory Nemunaitis, John Nemunaitis, et al.. (2008). Preclinical Assessment of wt GNE Gene Plasmid for Management of Hereditary Inclusion Body Myopathy 2 (HIBM2). PubMed. 2. 243–52. 10 indexed citations
10.
Klootwijk, Riko, Irini Manoli, Carla Ciccone, et al.. (2007). Mutation in the key enzyme of sialic acid biosynthesis causes severe glomerular proteinuria and is rescued by N-acetylmannosamine. Journal of Clinical Investigation. 117(6). 1585–1594. 144 indexed citations
11.
Towfighi, Javad, et al.. (2006). A Case of Hereditary Inclusion Body Myopathy: 1 Patient, 2 Novel Mutations. Journal of Clinical Neuromuscular Disease. 7(4). 179–184. 7 indexed citations
12.
Maples, Phillip B., et al.. (2006). 560. GNE Gene Replacement in Hereditary Inclusion Body Myopathy. Molecular Therapy. 13. S215–S216. 1 indexed citations
13.
Ciccone, Carla, Daniel Darvish, Marinos C. Dalakas, et al.. (2005). Single nucleotide polymorphisms in the dystroglycan gene do not correlate with disease severity in hereditary inclusion body myopathy. Molecular Genetics and Metabolism. 86(1-2). 244–249. 6 indexed citations
14.
Watts, Giles D., Margaret J. Kovach, Sarju Mehta, et al.. (2004). Inclusion body myopathy associated with Paget disease of bone and frontotemporal dementia is caused by mutant valosin-containing protein. Nature Genetics. 36(4). 377–381. 1019 indexed citations breakdown →
15.
Darvish, Daniel, et al.. (2002). Four novel mutations associated with autosomal recessive inclusion body myopathy (MIM: 600737). Molecular Genetics and Metabolism. 77(3). 252–256. 19 indexed citations
16.
Darvish, Daniel. (2002). Magnesium may help patients with recessive hereditary inclusion body myopathy, a pathological review. Medical Hypotheses. 60(1). 94–101. 11 indexed citations

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.

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