Teresa M. Coque
- Molecular Medicine top 0.01%
- Infectious Diseases top 0.1%
- Molecular Biology top 2%
- Endocrinology top 0.05%
- Pollution top 0.1%
- Co-authors
- Fernando BaqueroRafael CantónJosé Luis MartínezLuı́sa PeixeÂngela NovaisSara Hernando‐AmadoRob J. L. WillemsCarla Novais
- Topics
- Antibiotic Resistance in Bacteria (93 papers)Antimicrobial Resistance in Staphylococcus (81 papers)Bacterial Identification and Susceptibility Testing (51 papers)
- Partner nations
- SpainPortugalNetherlands
In The Last Decade
Teresa M. Coque
184 papers receiving 15.0k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Medicine 8.7k
- Infectious Diseases 4.8k
- Molecular Biology 3.9k
- Endocrinology 3.7k
- Pollution 3.7k
Countries citing papers authored by Teresa M. Coque
This map shows the geographic impact of Teresa M. Coque'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 Teresa M. Coque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teresa M. Coque more than expected).
Fields of papers citing papers by Teresa M. Coque
This network shows the impact of papers produced by Teresa M. Coque. 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 Teresa M. Coque. The network helps show where Teresa M. Coque may publish in the future.
Co-authorship network of co-authors of Teresa M. Coque
This figure shows the co-authorship network connecting the top 25 collaborators of Teresa M. Coque. A scholar is included among the top collaborators of Teresa M. Coque 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 Teresa M. Coque. Teresa M. Coque is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 5 | |
| 3 | 15 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 26 | |
| 8 | 12 | |
| 9 | 25 | |
| 10 | 14 | |
| 11 | 43 | |
| 12 | 15 | |
| 13 | 9 | |
| 14 | Defining and combating antibiotic resistance from One Health and Global Health perspectivesbreakdown → | 818 |
| 15 | 2 | |
| 16 | 259 | |
| 17 | 40 | |
| 18 | 210 | |
| 19 | 474 | |
| 20 | 16 |
About Teresa M. Coque
Teresa M. Coque is a scholar working on Molecular Medicine, Endocrinology and Clinical Biochemistry, having authored 186 papers that have together received 15.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (93 papers), Antimicrobial Resistance in Staphylococcus (81 papers) and Bacterial Identification and Susceptibility Testing (51 papers). The work is most often cited by research in Molecular Medicine (8.7k citations), Endocrinology (3.7k citations) and Applied Microbiology and Biotechnology (1.4k citations). Teresa M. Coque has collaborated with scholars based in Spain, Portugal and Netherlands. Frequent co-authors include Fernando Baquero, Rafael Cantón, José Luis Martínez, Luı́sa Peixe, Ângela Novais, Sara Hernando‐Amado, Rob J. L. Willems, Carla Novais, Barbara E. Murray and Elisabete Machado. Their work appears in journals such as Bioinformatics, PLoS ONE and The Science of The Total Environment.
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.