C. Welsh

847 citations
7 papers · 706 · h-index 7

Impact in

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

Papers in

    • Glioma Diagnosis and Treatment 3
    • Tuberous Sclerosis Complex Research 2

C. Welsh

7 papers receiving 677 citations

Peers

C. Welsh
Comparison fields: 5 of 29
  • Genetics 284
  • Physiology 268
  • Radiology, Nuclear Medicine and Imaging 142
  • Rheumatology 25
  • Developmental Neuroscience 5
Replace Cynthia T. Welsh with:
Cynthia T. Welsh United States
Paweł Daszkiewicz Poland
A. Alex Hofling United States
Marianeli Rodriguez United States
Vani Santosh India
Rocco Cicciarello Italy
Junichi Yoshimura Japan
Louis de Saint‐Georges Belgium
Tetsuji Orita Japan
Davide Gadda Italy
C. Welsh relative to Cynthia T. Welsh United States Cynthia T. Welsh's profile →
Citations per field
00.5×2×4×5.3×
Cynthia T. Welsh · 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 23 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.
1996279
2
Apparent diffusion coefficients for differentiation of cerebellar tumors in children.
2006237
3 200991
4
Idiopathic hypertrophic spinal pachymeningitis: report of two cases with typical MR imaging findings.
200736
5
Tissue and cell-type specific expression of the tuberous sclerosis gene, TSC2, in human tissues.
199633
6 201322
7 20078

About C. Welsh

C. Welsh is a scholar working on Genetics, Physiology, Rheumatology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 706 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), Tuberous Sclerosis Complex Research (2 papers), Cervical and Thoracic Myelopathy (1 paper), IgG4-Related and Inflammatory Diseases (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper), Meningioma and schwannoma management (1 paper) and Vasculitis and related conditions (1 paper). The work is most often cited by research in Genetics (284 citations), Physiology (268 citations), Radiology, Nuclear Medicine and Imaging (142 citations), Rheumatology (25 citations) and Developmental Neuroscience (5 citations). C. Welsh has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Zoran Rumboldt, Maurício Castillo, Daniel Camacho, Nick Hornigold, Joseph Nahmias, David J. Kwiatkowski, M. Priscilla Short, Elizabeth P. Henske, Marjon van Slegtenhorst and Bernd Walter Scheithauer. 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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