Carmen Espinosa‐Gongora
- Infectious Diseases top 5%
- Molecular Biology
- Clinical Biochemistry top 5%
- Epidemiology
- Microbiology top 5%
- Co-authors
- Luca GuardabassiValeria BortolaiaArshnee MoodleyAnders Rhod LarsenGuadalupe MiróJ. ErikssonJens Peter NielsenAna Montoya
- Topics
- Antimicrobial Resistance in Staphylococcus (15 papers)Microbial infections and disease research (9 papers)Clostridium difficile and Clostridium perfringens research (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEApplied and Environmental Microbiology
- Partner nations
- DenmarkUnited KingdomSweden
In The Last Decade
Carmen Espinosa‐Gongora
31 papers receiving 731 citations
Peers
Comparison fields: 5 of 77
- Infectious Diseases 451
- Molecular Biology 292
- Clinical Biochemistry 146
- Epidemiology 121
- Microbiology 117
Countries citing papers authored by Carmen Espinosa‐Gongora
This map shows the geographic impact of Carmen Espinosa‐Gongora'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 Espinosa‐Gongora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Espinosa‐Gongora more than expected).
Fields of papers citing papers by Carmen Espinosa‐Gongora
This network shows the impact of papers produced by Carmen Espinosa‐Gongora. 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 Espinosa‐Gongora. The network helps show where Carmen Espinosa‐Gongora may publish in the future.
Co-authorship network of co-authors of Carmen Espinosa‐Gongora
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Espinosa‐Gongora. A scholar is included among the top collaborators of Carmen Espinosa‐Gongora 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 Espinosa‐Gongora. Carmen Espinosa‐Gongora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 17 | |
| 6 | 22 | |
| 7 | 1 | |
| 8 | 35 | |
| 9 | 7 | |
| 10 | 52 | |
| 11 | 15 | |
| 12 | 33 | |
| 13 | 17 | |
| 14 | 91 | |
| 15 | 10 | |
| 16 | Effect of a disinfectant powder on methicillin-resistant Staphylococcus aureus in pigs, bedding and air samples under simulated farm conditions | 4 |
| 17 | 20 | |
| 18 | 15 | |
| 19 | 61 | |
| 20 | 14 |
About Carmen Espinosa‐Gongora
Carmen Espinosa‐Gongora is a scholar working on Microbiology, Infectious Diseases and Clinical Biochemistry, having authored 35 papers that have together received 747 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (15 papers), Microbial infections and disease research (9 papers) and Clostridium difficile and Clostridium perfringens research (8 papers). The work is most often cited by research in Infectious Diseases (451 citations), Clinical Biochemistry (146 citations) and Microbiology (117 citations). Carmen Espinosa‐Gongora has collaborated with scholars based in Denmark, United Kingdom and Sweden. Frequent co-authors include Luca Guardabassi, Valeria Bortolaia, Arshnee Moodley, Anders Rhod Larsen, Guadalupe Miró, J. Eriksson, Jens Peter Nielsen, Ana Montoya, Els M. Broens and Jesper Larsen. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental 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.