S. Variend

49 papers receiving 1.1k citations

Peers

S. Variend
Comparison fields: 5 of 96
  • Clinical Biochemistry 222
  • Endocrine and Autonomic Systems 121
  • Neurology 238
  • Pediatrics, Perinatology and Child Health 191
  • Rheumatology 124
Replace Tuula Lönnqvist with:
Tuula Lönnqvist Finland
Sabiha Aysun Türkiye
Albert Larbrisseau Canada
Timothy Lotze United States
Geoffrey C Byrne Australia
Alexander Dressel Germany
Matthias Kieslich Germany
Patrizia Accorsi Italy
Angela F. Brady United Kingdom
Fernando Falcão‐Reis Portugal
S. Variend relative to Tuula Lönnqvist Finland Tuula Lönnqvist's profile →
Citations per field
00.5×8.1×
Tuula Lönnqvist · 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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198585
2 200179
3
Failure to demonstrate sexual dimorphism of the corpus callosum in childhood.
198577
4 198875
5 198461
6 198457
7 199557
8 199350
9 200143
10 200243
11 199143
12
Fatty acid oxidation defects as causes of unexpected death in infancy.
199039
13 200736
14 198831
15 199131
16 198530
17 200129
18
Myelination of the corpus callosum. II. The effect of relief of hydrocephalus upon the processes of myelination.
197928
19 199624
20 198920

About S. Variend

S. Variend is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Clinical Biochemistry and Pediatrics, Perinatology and Child Health, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (9 papers), Sarcoma Diagnosis and Treatment (7 papers), Neuroscience of respiration and sleep (6 papers), Neuroblastoma Research and Treatments (5 papers), Neonatal Health and Biochemistry (4 papers), Neonatal and fetal brain pathology (3 papers), Chromatin Remodeling and Cancer (3 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Clinical Biochemistry (222 citations), Endocrine and Autonomic Systems (121 citations), Neurology (238 citations), Pediatrics, Perinatology and Child Health (191 citations) and Rheumatology (124 citations). S. Variend has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include A J Howat, Michael J. Bennett, L. Shaw, Peter Engel, R. D. Spicer, Joost van Gorp, N. M. A. Bax, C. Cullinane, James H. Pringle and David A. Hilton. Their work appears in journals such as Journal of Clinical Pathology, The Journal of Pathology, Histopathology, Cancer and Developmental Medicine & Child Neurology.

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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