M. C. Dalakas

1.2k total citations
21 papers, 711 citations indexed

About

M. C. Dalakas is a scholar working on Epidemiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, M. C. Dalakas has authored 21 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 7 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in M. C. Dalakas's work include Inflammatory Myopathies and Dermatomyositis (9 papers), Peripheral Neuropathies and Disorders (3 papers) and Viral Infections and Immunology Research (3 papers). M. C. Dalakas is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (9 papers), Peripheral Neuropathies and Disorders (3 papers) and Viral Infections and Immunology Research (3 papers). M. C. Dalakas collaborates with scholars based in United States, Greece and Germany. M. C. Dalakas's co-authors include Amjad A. Ilyas, Richard H. Quarles, K Sivakumar, Frederick W. Miller, Roscoe O. Brady, Marta Leon‐Monzon, David M. Biondi, Daniel Cook, Edmund Klein and Paul H. Plötz and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

M. C. Dalakas

21 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. C. Dalakas United States	13	281	240	174	163	156	21	711
Joerg‐Patrick Stübgen United States	15	147 0.5×	291 1.2×	115 0.7×	106 0.7×	121 0.8×	38	699
R. R. Rojas-Corona United States	17	82 0.3×	178 0.7×	136 0.8×	140 0.9×	115 0.7×	22	741
Adam N. Bender United States	17	126 0.4×	236 1.0×	237 1.4×	79 0.5×	65 0.4×	22	672
Flavia Scuderi Italy	19	157 0.6×	585 2.4×	215 1.2×	22 0.1×	102 0.7×	33	1.1k
Kelly B. Mahaney United States	17	331 1.2×	558 2.3×	42 0.2×	108 0.7×	124 0.8×	27	1.0k
Vladimir V. Yurovsky United States	16	248 0.9×	139 0.6×	251 1.4×	86 0.5×	63 0.4×	33	1.0k
P. Gjörstrup Sweden	10	63 0.2×	123 0.5×	179 1.0×	77 0.5×	107 0.7×	15	912
Agnès Liprandi France	12	123 0.4×	100 0.4×	97 0.6×	58 0.4×	47 0.3×	33	442
Nobuko Yamashita Japan	14	120 0.4×	174 0.7×	100 0.6×	89 0.5×	30 0.2×	34	599
Stephanie Kelley United States	5	471 1.7×	86 0.4×	143 0.8×	33 0.2×	221 1.4×	7	668

Countries citing papers authored by M. C. Dalakas

Since Specialization

Citations

This map shows the geographic impact of M. C. Dalakas'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 M. C. Dalakas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. C. Dalakas more than expected).

Fields of papers citing papers by M. C. Dalakas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. C. Dalakas. 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 M. C. Dalakas. The network helps show where M. C. Dalakas may publish in the future.

Co-authorship network of co-authors of M. C. Dalakas

This figure shows the co-authorship network connecting the top 25 collaborators of M. C. Dalakas. A scholar is included among the top collaborators of M. C. Dalakas 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 M. C. Dalakas. M. C. Dalakas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kampylafka, Eleni, Harry Alexopoulos, P. Vlachoyiannopoulos, et al.. (2012). Incidence and Prevalence of Major Central Nervous System (CNS) Involvement in Systemic Lupus Erythematosus (SLE): A 3 Year Prospective Evaluation and Clinical Correlations in 456 Patients (S08.004). Neurology. 78(Meeting Abstracts 1). S08.004–S08.004. 9 indexed citations

Kampylafka, Eleni, et al.. (2012). The effect of intravenous immunoglobulin (IVIG) treatment on patients with dermatomyositis: a 4-year follow-up study.. PubMed. 30(3). 397–401. 24 indexed citations

Dalakas, M. C., Goran Rakočević, Jan Schmidt, et al.. (2009). Reply: Comment on alemtuzumab and inclusion body myositis. Brain. 133(5). e136–e136. 1 indexed citations

Schmidt, Jens & M. C. Dalakas. (2008). Inflammation interrelates to APP in sIBM: IL-1 induces accumulation of -amyloid. Brain. 132(4). e107–e107. 3 indexed citations

Dalakas, M. C.. (2005). Autoimmune muscular pathologies. Neurological Sciences. 26(S1). s7–s8. 4 indexed citations

Dalakas, M. C. & K Sivakumar. (1996). The immunopathologic and inflammatory differences between dermatomyositis, polymyositis and sporadic inclusion body myositis. Current Opinion in Neurology. 9(3). 235–239. 51 indexed citations

Cupler, Edward, et al.. (1995). Early features of zidovudine-associated myopathy: histopathological findings and clinical correlations. Acta Neuropathologica. 90(1). 1–6. 55 indexed citations

Dalakas, M. C.. (1995). Calcifications in Dermatomyositis. New England Journal of Medicine. 333(15). 978–978. 8 indexed citations

Cupler, Edward, M. J. Danon, Cheryl A. Jay, et al.. (1995). Early features of zidovudine-associated myopathy: histopathological findings and clinical correlations. Acta Neuropathologica. 90(1). 1–6. 4 indexed citations

10.

Leff, Richard L., L. A. Love, Frederick W. Miller, et al.. (1992). Viruses in idiopathic inflammatory myopathies: absence of candidate viral genomes in muscle. The Lancet. 339(8803). 1192–1195. 92 indexed citations

11.

Leon‐Monzon, Marta & M. C. Dalakas. (1992). Absence of persistent infection with enteroviruses in muscles of patients with inflammatory myopathies. Annals of Neurology. 32(2). 219–222. 38 indexed citations

12.

Dalakas, M. C.. (1992). Inflammatory and toxic myopathies.. PubMed. 5(5). 645–54. 19 indexed citations

13.

Cook, Daniel, et al.. (1990). High‐dose intravenous immunoglobulins in the treatment of demyelinating neuropathy associated with monoclonal gammopathy. Neurology. 40(2). 212–212. 82 indexed citations

14.

Charnas, Lawrence, Juan Bernar, G. Pezeshkpour, et al.. (1988). MRI Findings and Peripheral Neuropathy in Lowe's Syndrome. Neuropediatrics. 19(1). 7–9. 23 indexed citations

15.

Madden, David L., et al.. (1988). Serologic studies of MS patients, controls, and patients with other neurologic diseases. Neurology. 38(1). 81–81. 10 indexed citations

16.

O’Shannessy, Daniel J., Amjad A. Ilyas, M. C. Dalakas, Jerry R. Mendell, & Richard H. Quarles. (1986). Specificity of human IgM monoclonal antibodies from patients with peripheral neuropathy. Journal of Neuroimmunology. 11(2). 131–136. 39 indexed citations

17.

Ilyas, Amjad A., Richard H. Quarles, M. C. Dalakas, & Roscoe O. Brady. (1985). Polyneuropathy with monoclonal gammopathy: glycolipids are frequently antigens for IgM paraproteins.. Proceedings of the National Academy of Sciences. 82(19). 6697–6700. 76 indexed citations

18.

Dalakas, M. C., Sidney A. Houff, W. King Engel, David L. Madden, & John L. Sever. (1980). CSF “monoclonal” bands in chronic relapsing polyneuropathy. Neurology. 30(8). 864–864. 43 indexed citations

19.

Askanas, Valerie, et al.. (1980). Human Schwann Cells in Tissue Culture Histochemical and Ultrastructural Studies. Archives of Neurology. 37(6). 329–337. 61 indexed citations

20.

Dalakas, M. C., R.G. Wright, & John W. Prineas. (1980). NATURE OF THE REVERSIBLE WHITE MATTER LESION IN MULTIPLE SCLEROSIS. Brain. 103(3). 515–524. 7 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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