Máximo Fraga

2.6k citations
74 papers · 1.8k · h-index 26

Impact in

Papers in

    • Viral-associated cancers and disorders 8
    • Cancer-related Molecular Pathways 5
    • Polyomavirus and related diseases 4
    • Glycosylation and Glycoproteins Research 4

Máximo Fraga

72 papers receiving 1.8k citations

Peers

Máximo Fraga
Comparison fields: 5 of 102
  • Pathology and Forensic Medicine 654
  • Genetics 225
  • Oncology 565
  • Dermatology 132
  • Neurology 220
Replace Naoyoshi Mori with:
Naoyoshi Mori Japan
D C Brown United Kingdom
José Cameselle‐Teijeiro Spain
Suzanne Jordan United Kingdom
Daniel Wu United States
Alvin W. Martin United States
Stefania Damiani Italy
Emmanuelle Uro‐Coste France
George Kontogeorgos Greece
J. Schütte Germany
Máximo Fraga relative to Naoyoshi Mori Japan Naoyoshi Mori's profile →
Citations per field
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Citations per year

Countries citing papers authored by Máximo Fraga

Since Specialization
Citations

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

Fields of papers citing papers by Máximo Fraga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011112
2 1997111
3 2013104
4 199597
5 200576
6 200474
7 200753
8 200053
9 200853
10 199351
11 201249
12 198949
13 200844
14 200244
15 200242
16 199942
17 201241
18 199538
19 200038
20 199537

About Máximo Fraga

Máximo Fraga is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Cancer Research and Neurology, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (19 papers), Viral-associated cancers and disorders (8 papers), CNS Lymphoma Diagnosis and Treatment (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Cancer-related Molecular Pathways (5 papers), Glycosylation and Glycoproteins Research (4 papers), Polyomavirus and related diseases (4 papers) and Breast Cancer Treatment Studies (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (654 citations), Genetics (225 citations), Oncology (565 citations), Dermatology (132 citations) and Neurology (220 citations). Máximo Fraga has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Jerónimo Forteza, Tomás García‐Caballero, A. Beiras, Miguel Á. Piris, Rosalı́a Gallego, José A. Costoya, Georges Delsol, Márcio Diniz Freitas, Luı́s Monteiro and Marc Foretz. Their work appears in journals such as Histopathology, European Journal of Cancer, Journal of Oral Pathology and Medicine, PLoS ONE and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

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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