F. Vega

795 citations
14 papers · 616 · h-index 10

Impact in

  • Neurology top 2%
    • Autoimmune Neurological Disorders and Treatments
    • Peripheral Neuropathies and Disorders
    • Myasthenia Gravis and Thymoma
    • Neuroblastoma Research and Treatments
  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Genetics and Neurodevelopmental Disorders

Papers in

    • Autoimmune Neurological Disorders and Treatments 5
    • Glioma Diagnosis and Treatment 5

F. Vega

14 papers receiving 602 citations

Peers

F. Vega
Comparison fields: 5 of 47
  • Neurology 378
  • Genetics 121
  • Cellular and Molecular Neuroscience 90
  • Cancer Research 41
  • Oncology 73
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F. Vega relative to Peter Dirks Canada Peter Dirks's profile →
Citations per field
00.5×1.5×2.0×
Peter Dirks · 1×
Citations per year

Countries citing papers authored by F. Vega

Since Specialization
Citations

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

Fields of papers citing papers by F. Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. Vega, 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 F. Vega Line = papers co-authored together F. Vega links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1996150
2 1992144
3
Oncogene amplification in human gliomas: a molecular cytogenetic analysis.
199472
4 199670
5 199543
6 199438
7 199432
8 199520
9 199219
10 199419
11
[Neurologic syndromes associated with anti-Hu antibody. Study of 24 patients].
19923
12
[Autoimmunity and paraneoplastic neurologic syndromes].
19913
13 19932
14
Carcinoma of body of pancreas. A diagnostic aid.
19651

About F. Vega

F. Vega is a scholar working on Neurology, Genetics, Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology, having authored 14 papers that have together received 616 indexed citations. Recurring topics across this work include Autoimmune Neurological Disorders and Treatments (5 papers), Glioma Diagnosis and Treatment (5 papers), Genetic Neurodegenerative Diseases (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Neurology (378 citations), Genetics (121 citations), Cellular and Molecular Neuroscience (90 citations), Cancer Research (41 citations) and Oncology (73 citations). F. Vega has collaborated with scholars based in France, Spain and Germany. Frequent co-authors include J.‐Y. Delattre, Francesc Graus, R. Reñé, M Poisson, I Bonaventura, D. Arbaiza, Bernard Dutrillaux, P. Stasiecki, Giuseppe Stragliotto and Martine Muleris. Their work appears in journals such as Neurology, European Journal of Cancer, Journal of Neurology Neurosurgery & Psychiatry, Journal of Neuro-Oncology and International Journal of 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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