Carmen Muñoz

96 papers receiving 2.2k citations

Peers

Carmen Muñoz
Comparison fields: 5 of 122
  • Parasitology 343
  • Cancer Research 382
  • Language and Linguistics 221
  • Linguistics and Language 89
  • Epidemiology 532
Replace Katrin Neubauer with:
Katrin Neubauer Germany
Diego Forni Italy
M Pinder United Kingdom
Caroline Vincent Canada
Shirley Clarke United Kingdom
Andrew G. D. Bean Australia
Jessica L. Miller United States
Kelly D. Stone United States
Cesare Rossi Italy
Hyun-Hee Kong South Korea
Carmen Muñoz relative to Katrin Neubauer Germany Katrin Neubauer's profile →
Citations per field
00.5×20×40×60×73.7×
Katrin Neubauer · 1×
Citations per year

Countries citing papers authored by Carmen Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008179
2 2004139
3 2000120
4 2014110
5 2016107
6 200691
7 201676
8 201371
9 201853
10 198552
11 201150
12 201647
13 202245
14 201245
15 199944
16 201843
17 201842
18 201540
19 201839
20 201639

About Carmen Muñoz

Carmen Muñoz is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Parasitology, Cancer Research and Molecular Biology, having authored 100 papers that have together received 2.2k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (21 papers), Trypanosoma species research and implications (18 papers), Parasites and Host Interactions (7 papers), MicroRNA in disease regulation (7 papers), Parasitic Infections and Diagnostics (6 papers), Extracellular vesicles in disease (4 papers), Toxoplasma gondii Research Studies (4 papers) and Vector-borne infectious diseases (3 papers). The work is most often cited by research in Parasitology (343 citations), Cancer Research (382 citations), Language and Linguistics (221 citations), Linguistics and Language (89 citations) and Epidemiology (532 citations). Carmen Muñoz has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Mariano Monzó, Alfons Navarro, Teresa Llovet, Sandra Santasusagna, Montserrat Gállego, Joan J. Castellano, José Ramírez, Ramón M. Marrades, Núria Viñolas and Ferrán Navarro. Their work appears in journals such as Journal of Clinical Microbiology, PLoS ONE, Parasite Immunology, Oncotarget and Transboundary and Emerging Diseases.

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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