Concha Gil

6k citations
142 papers · 5k · h-index 41

Impact in

Papers in

Concha Gil

141 papers receiving 5k citations

Peers

Concha Gil
Comparison fields: 5 of 114
  • Infectious Diseases 1.8k
  • Molecular Biology 2.6k
  • Spectroscopy 567
  • Cell Biology 253
  • Microbiology 81
Replace Nichollas E. Scott with:
Nichollas E. Scott Australia
Jesús Plá Spain
Yufeng Yao China
Javier Arroyo Spain
Maurizio Del Poeta United States
Alain J. Cozzone France
Vijay Pancholi United States
Emmanuel Maes France
Virginie Molle France
Halina Norbertczak United Kingdom
Concha Gil relative to Nichollas E. Scott Australia Nichollas E. Scott's profile →
Citations per field
00.5×2×3×4×4.7×
Nichollas E. Scott · 1×
Citations per year

Countries citing papers authored by Concha Gil

Since Specialization
Citations

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

Fields of papers citing papers by Concha Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002223
2 2005183
3 2014178
4 2001142
5 2014127
6 2005125
7 2004124
8 1997122
9 2006118
10
Candida albicans: genetics, dimorphism and pathogenicity.
1998110
11 200997
12 200192
13 200689
14 200989
15 201480
16 199979
17 201076
18 200873
19 199972
20 200070

About Concha Gil

Concha Gil is a scholar working on Infectious Diseases, Spectroscopy, Molecular Biology, Microbiology and Epidemiology, having authored 142 papers that have together received 5k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (59 papers), Antifungal resistance and susceptibility (53 papers), Advanced Proteomics Techniques and Applications (43 papers), Extracellular vesicles in disease (7 papers), Fungal Infections and Studies (6 papers), Bacterial Genetics and Biotechnology (4 papers), Innovations in Medical Education (2 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Infectious Diseases (1.8k citations), Molecular Biology (2.6k citations), Spectroscopy (567 citations), Cell Biology (253 citations) and Microbiology (81 citations). Concha Gil has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include César Nombela, Aída Pitarch, Lucía Monteoliva, Miguel Sánchez, Gloria Molero, Jesús Plá, Rosalía Diez‐Orejas, María Luisa Hernáez, W. LaJean Chaffin and Jose Antonio Reales‐Calderón. Their work appears in journals such as PROTEOMICS, Journal of Proteomics, Journal of Proteome Research, Molecular & Cellular Proteomics and Frontiers in 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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