Concha Gil
Impact in
- Infectious Diseases top 0.5%
- Antifungal resistance and susceptibility
- Microbiology top 1%
Papers in
-
- Antifungal resistance and susceptibility 78
-
- Fungal and yeast genetics research 26
- Glycosylation and Glycoproteins Research 9
- Co-authors
- César Nombela (68 shared papers)Aída Pitarch (38 shared papers)Lucía Monteoliva (44 shared papers)Miguel Sánchez (9 shared papers)Jesús Plá (16 shared papers)Gloria Molero (28 shared papers)Rosalía Diez‐Orejas (13 shared papers)María Luisa Hernáez (26 shared papers)
- Journals
- PROTEOMICS (23 papers)Journal of Proteomics (15 papers)Journal of Proteome Research (13 papers)Yeast (6 papers)Molecular & Cellular Proteomics (6 papers)
- Partner nations
- SpainUnited StatesPortugal
In The Last Decade
Concha Gil
140 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 126
- Infectious Diseases 2.4k
- Microbiology 348
- Epidemiology 1.6k
- Periodontics 179
- Molecular Biology 2.4k
Countries citing papers authored by Concha Gil
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
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.
All Works
Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 225 | |
| 2 | 2005 | 184 | |
| 3 | 2014 | 151 | |
| 4 | 2001 | 147 | |
| 5 | 2005 | 127 | |
| 6 | 2004 | 125 | |
| 7 | 2014 | 125 | |
| 8 | 1997 | 122 | |
| 9 | 2006 | 121 | |
| 10 | Candida albicans: genetics, dimorphism and pathogenicity. | 1998 | 108 |
| 11 | 2009 | 96 | |
| 12 | 2001 | 90 | |
| 13 | 2006 | 89 | |
| 14 | 2009 | 87 | |
| 15 | 1999 | 79 | |
| 16 | 2014 | 77 | |
| 17 | 2010 | 76 | |
| 18 | 2008 | 75 | |
| 19 | 1999 | 73 | |
| 20 | 2000 | 69 |
About Concha Gil
Concha Gil is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Food Science and Microbiology, having authored 145 papers that have together received 5.0k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (78 papers), Fungal Infections and Studies (36 papers), Fungal and yeast genetics research (26 papers), Probiotics and Fermented Foods (19 papers), Advanced Proteomics Techniques and Applications (15 papers), Peptidase Inhibition and Analysis (13 papers), Antimicrobial Peptides and Activities (10 papers) and Glycosylation and Glycoproteins Research (9 papers). The work is most often cited by research in Infectious Diseases (2.4k citations), Microbiology (348 citations), Epidemiology (1.6k citations), Periodontics (179 citations) and Molecular Biology (2.4k citations). Concha Gil has collaborated with scholars based in Spain, United States and Portugal. Frequent co-authors include César Nombela, Aída Pitarch, Lucía Monteoliva, Miguel Sánchez, Jesús Plá, Gloria Molero, 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, Yeast and Molecular & Cellular Proteomics.
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.