C. Welsh

852 citations
7 papers · 641 · h-index 7

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Physiology top 10%
    • Tuberous Sclerosis Complex Research
    • Histiocytic Disorders and Treatments

Papers in

C. Welsh

7 papers receiving 629 citations

Peers

C. Welsh
Comparison fields: 5 of 49
  • Genetics 237
  • Physiology 264
  • Radiology, Nuclear Medicine and Imaging 206
  • Neurology 78
  • Pediatrics, Perinatology and Child Health 72
Replace Paul L. Moots with:
Paul L. Moots United States
Marta Perek‐Polnik Poland
Cristiane M. Ida United States
Claude Alain Maurage France
Muh‐Lii Liang Taiwan
Charlotte Westbury United Kingdom
M. Eurelings Netherlands
John‐Paul Kilday United Kingdom
Bård Kronen Krossnes Norway
Pietro Ciccarino Italy
C. Welsh relative to Paul L. Moots United States Paul L. Moots's profile →
Citations per field
00.5×
Paul L. Moots · 1×
Citations per year

Countries citing papers authored by C. Welsh

Since Specialization
Citations

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

Fields of papers citing papers by C. Welsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside C. Welsh, 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 C. Welsh Line = papers co-authored together C. Welsh links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Allelic loss is frequent in tuberous sclerosis kidney lesions but rare in brain lesions.
1996256
2
Apparent diffusion coefficients for differentiation of cerebellar tumors in children.
2006213
3 200981
4
Idiopathic hypertrophic spinal pachymeningitis: report of two cases with typical MR imaging findings.
200732
5
Tissue and cell-type specific expression of the tuberous sclerosis gene, TSC2, in human tissues.
199631
6 201320
7 20078

About C. Welsh

C. Welsh is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Physiology and Surgery, having authored 7 papers that have together received 641 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), MRI in cancer diagnosis (2 papers), Tuberous Sclerosis Complex Research (2 papers), Meningioma and schwannoma management (1 paper), Vascular Malformations Diagnosis and Treatment (1 paper), Chromatin Remodeling and Cancer (1 paper), IgG4-Related and Inflammatory Diseases (1 paper) and Neurofibromatosis and Schwannoma Cases (1 paper). The work is most often cited by research in Genetics (237 citations), Physiology (264 citations), Radiology, Nuclear Medicine and Imaging (206 citations), Neurology (78 citations) and Pediatrics, Perinatology and Child Health (72 citations). C. Welsh has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Zoran Rumboldt, Daniel Camacho, David S. Lake, Maurício Castillo, Elizabeth P. Henske, B. W. Scheithauer, Nick Hornigold, M. Priscilla Short, Marjon van Slegtenhorst and D J Kwiatkowski. Their work appears in journals such as American Journal of Neuroradiology, The Neuroradiology Journal and PubMed.

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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