Carmen Navarro

798 citations
17 papers · 556 indexed · h-index 11
Topics
Mercury impact and mitigation studies (5 papers)Heavy Metal Exposure and Toxicity (4 papers)Bacterial Infections and Vaccines (3 papers)
Partner nations
SpainSwedenUnited States

In The Last Decade

Carmen Navarro

17 papers receiving 543 citations

Peers

Carmen Navarro
Comparison fields: 5 of 76
  • Health, Toxicology and Mutagenesis 164
  • Molecular Biology 147
  • Molecular Medicine 130
  • Rheumatology 101
  • Pollution 95
Replace Mahin Hashemipour with:
Mahin Hashemipour Iran
Hasina Akhter Bangladesh
Meeta Sharma United States
Linshuang Zhang China
Rajender Rao Kalashikam India
William R. Bailey United States
Irina Bogdarina United Kingdom
Rafael Tamayo‐Trujillo Ecuador
Sean M. Patrick South Africa
Carmen Navarro relative to Mahin Hashemipour Iran Mahin Hashemipour's profile →
Citations per field
00.5×9.5×
Mahin Hashemipour · 1×
Citations per year

Countries citing papers authored by Carmen Navarro

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Navarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Navarro

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Navarro. A scholar is included among the top collaborators of Carmen Navarro 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 Carmen Navarro. Carmen Navarro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 2
2 2
3 9
4 27
5 24
6 23
7 46
8 96
9 38
10 35
11 58
12 23
13 1
14 5
15 149
16 3
17 15

About Carmen Navarro

Carmen Navarro is a scholar working on Health, Toxicology and Mutagenesis, Microbiology and Molecular Medicine, having authored 17 papers that have together received 556 indexed citations. Recurring topics across this work include Mercury impact and mitigation studies (5 papers), Heavy Metal Exposure and Toxicity (4 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Molecular Medicine (130 citations), Applied Microbiology and Biotechnology (29 citations) and Endocrinology (69 citations). Carmen Navarro has collaborated with scholars based in Spain, Sweden and United States. Frequent co-authors include Argelia Castaño, Marta Esteban, Antoni L. Andreu, Ana Cañas, Jesús Oteo, Carmen Ayuso, Emilia Cercenado, Alberto Delgado‐Iribarren, Silvia García-Cobos and Belén Aracil. Their work appears in journals such as Brain, The Science of The Total Environment and Journal of Clinical Microbiology.

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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