Carmen Gil

36 total papers · 927 total citations
25 papers, 723 citations indexed

About

Carmen Gil is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Carmen Gil has authored 25 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Carmen Gil's work include Bacterial biofilms and quorum sensing (7 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and TGF-β signaling in diseases (3 papers). Carmen Gil is often cited by papers focused on Bacterial biofilms and quorum sensing (7 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and TGF-β signaling in diseases (3 papers). Carmen Gil collaborates with scholars based in Spain, United Kingdom and Germany. Carmen Gil's co-authors include Íñigo Lasa, Jaione Valle, Cristina Solano, Alejandro Toledo‐Arana, Cristina Latasa, José R. Penadés, Ralf Helbig, Tomás García‐Caballero, Andrés Fabián Lasagni and Begoña García and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Carmen Gil

24 papers receiving 716 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Carmen Gil 360 146 133 80 79 25 723
A. J. Duncan 404 1.1× 144 1.0× 121 0.9× 118 1.5× 72 0.9× 26 796
Bonita Durnaś 372 1.0× 90 0.6× 212 1.6× 106 1.3× 43 0.5× 45 862
Andrzej Namiot 299 0.8× 61 0.4× 239 1.8× 70 0.9× 72 0.9× 23 844
Nisha Nair 448 1.2× 148 1.0× 85 0.6× 53 0.7× 111 1.4× 34 887
Sandip Kumar 469 1.3× 85 0.6× 51 0.4× 47 0.6× 89 1.1× 18 795
Zachary Cusumano 345 1.0× 94 0.6× 54 0.4× 190 2.4× 67 0.8× 21 770
Hiromi Nishi 245 0.7× 144 1.0× 129 1.0× 78 1.0× 40 0.5× 47 622
Kanae Yokogawa 302 0.8× 94 0.6× 132 1.0× 80 1.0× 37 0.5× 36 712
Jun-Hong Ch’ng 250 0.7× 150 1.0× 61 0.5× 98 1.2× 27 0.3× 22 713
Michelle J. Henry‐Stanley 348 1.0× 319 2.2× 87 0.7× 184 2.3× 41 0.5× 37 907

Countries citing papers authored by Carmen Gil

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Gil

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

All Works

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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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