S. Variend

53 papers receiving 1.2k citations

Peers

S. Variend
Comparison fields: 5 of 98
  • Clinical Biochemistry 229
  • Endocrine and Autonomic Systems 133
  • Neurology 246
  • Pediatrics, Perinatology and Child Health 182
  • Rheumatology 126
Replace Marius P. Valsamis with:
Marius P. Valsamis United States
Mamdouha A. Barmada United States
Anna Maria Laverda Italy
Staffan Edström Sweden
Selim Doğanay Türkiye
Sabiha Aysun Türkiye
Ezio Paolino Italy
Jan Lebl Czechia
Linda R. Margraf United States
Albert Larbrisseau Canada
S. Variend relative to Marius P. Valsamis United States Marius P. Valsamis's profile →
Citations per field
00.5×8.3×
Marius P. Valsamis · 1×
Citations per year

Countries citing papers authored by S. Variend

Since Specialization
Citations

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

Fields of papers citing papers by S. Variend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Variend. 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 S. Variend. The network helps show where S. Variend may publish in the future.

Co-authors

The 25 scholars most cited alongside S. Variend, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Variend Line = papers co-authored together S. Variend links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198593
2 200184
3 198880
4
Failure to demonstrate sexual dimorphism of the corpus callosum in childhood.
198580
5 199567
6 198464
7 198463
8 199357
9 200148
10 200245
11 199144
12
Fatty acid oxidation defects as causes of unexpected death in infancy.
199041
13 200736
14 199136
15 198531
16 200131
17 198831
18
Myelination of the corpus callosum. II. The effect of relief of hydrocephalus upon the processes of myelination.
197931
19 199627
20 199225

About S. Variend

S. Variend is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Clinical Biochemistry and Neurology, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (9 papers), Sarcoma Diagnosis and Treatment (7 papers), Neuroblastoma Research and Treatments (6 papers), Neuroscience of respiration and sleep (6 papers), Chromatin Remodeling and Cancer (4 papers), Neonatal Health and Biochemistry (3 papers), Neonatal and fetal brain pathology (3 papers) and Infectious Encephalopathies and Encephalitis (3 papers). The work is most often cited by research in Clinical Biochemistry (229 citations), Endocrine and Autonomic Systems (133 citations), Neurology (246 citations), Pediatrics, Perinatology and Child Health (182 citations) and Rheumatology (126 citations). S. Variend has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include A J Howat, L. Shaw, Michael J. Bennett, Peter Engel, R. D. Spicer, Joost van Gorp, N. M. A. Bax, David A. Hilton, C. Cullinane and James H. Pringle. Their work appears in journals such as Journal of Clinical Pathology, The Journal of Pathology, Histopathology, Developmental Medicine & Child Neurology and Cancer.

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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