Francisco Vega

14.0k citations
266 papers · 6.2k indexed · 1 hit paper · h-index 44

Francisco Vega

249 papers receiving 6.1k citations

Hit Papers

Ulipristal Acetate versus Leuprolide Acetate for Uterine ...20122026201620212012100200300400

Peers

Francisco Vega
Comparison fields: 5 of 139
  • Pathology and Forensic Medicine 2.6k
  • Oncology 2.2k
  • Molecular Biology 1.6k
  • Immunology 1.1k
  • Genetics 974
Replace Laurence de Leval with:
Laurence de Leval Switzerland
Frederic I. Preffer United States
G. Richard Dickersin United States
Andrew L. Feldman United States
Ekaterina S. Jordanova Netherlands
A M Gown United States
Rifat Hamoudi United Kingdom
Tadashi Terada Japan
Teresa Bellón Spain
Carlos Gamallo Spain
Francisco Vega relative to Laurence de Leval Switzerland Laurence de Leval's profile →
Citations per field
00.5×1.5×
Laurence de Leval · 1×
Citations per year

Countries citing papers authored by Francisco Vega

Since Specialization
Citations

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

Fields of papers citing papers by Francisco Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Vega

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Vega. A scholar is included among the top collaborators of Francisco Vega based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francisco Vega. Francisco Vega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 0
4 1
5 1
6 7
7 9
8 5
9 36
10 5
11 13
12 4
13 1
14 35
15 5
16 10
17 39
18
Análisis estadístico de 134 casos consecutivos de ganglio centinela en el melanoma maligno cutáneo en las islas baleares. Utilidad terapeútica de la biopsia selectiva ganglionar e importancia de la localización anatómica del tumor primario (2000-2006)
2
19 74
20 167

About Francisco Vega

Francisco Vega is a scholar working on Pathology and Forensic Medicine, Genetics and Dermatology, having authored 266 papers that have together received 6.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (129 papers), Viral-associated cancers and disorders (49 papers) and Chronic Lymphocytic Leukemia Research (41 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.6k citations), Obstetrics and Gynecology (723 citations) and Genetics (974 citations). Francisco Vega has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include L. Jeffrey Medeiros, Jeong Hee Cho‐Vega, Rajesh R. Singh, Rajyalakshmi Luthra, Dan Jones, Philippe Bouchard, Santiago Palacios, Janusz Tomaszewski, Jacques Donnez and Kranthi Kunkalla. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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