Sofía Samper
Impact in
- Infectious Diseases top 0.2%
- Tuberculosis Research and Epidemiology
- Epidemiology top 0.5%
- Mycobacterium research and diagnosis
- Pneumocystis jirovecii pneumonia detection and treatment
- Pneumonia and Respiratory Infections
Papers in
-
- Tuberculosis Research and Epidemiology 75
- Epidemiology 75
- Mycobacterium research and diagnosis 75
- Co-authors
- Carlos Martı́n (38 shared papers)Dick van Soolingen (6 shared papers)Kristin Kremer (3 shared papers)Roland Brosch (5 shared papers)Stewart T. Cole (1 shared paper)Alexander S. Pym (1 shared paper)Priscille Brodin (1 shared paper)R. Glyn Hewinson (1 shared paper)
In The Last Decade
Sofía Samper
85 papers receiving 3.8k citations
Sofía Samper's Hit Papers
Peers
Comparison fields: 5 of 125
- Infectious Diseases 3.3k
- Epidemiology 3.1k
- Molecular Medicine 267
- Surgery 1.6k
- Microbiology 19
Countries citing papers authored by Sofía Samper
This map shows the geographic impact of Sofía Samper'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 Sofía Samper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofía Samper more than expected).
Fields of papers citing papers by Sofía Samper
This network shows the impact of papers produced by Sofía Samper. 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 Sofía Samper. The network helps show where Sofía Samper may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofía Samper, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A new evolutionary scenario for the Mycobacterium tuberculosis complex Hit paper breakdown → | 2002 | 1128 |
| 2 | 2001 | 299 | |
| 3 | 2003 | 220 | |
| 4 | 2001 | 142 | |
| 5 | 2004 | 114 | |
| 6 | 2004 | 95 | |
| 7 | 2001 | 80 | |
| 8 | Human tuberculosis due to Mycobacterium bovis and M. caprae in Spain, 2004-2007. | 2009 | 78 |
| 9 | 2014 | 75 | |
| 10 | 1997 | 73 | |
| 11 | 1997 | 73 | |
| 12 | 2013 | 70 | |
| 13 | 1999 | 70 | |
| 14 | 1997 | 68 | |
| 15 | 1997 | 68 | |
| 16 | 1995 | 66 | |
| 17 | 1998 | 65 | |
| 18 | 2018 | 55 | |
| 19 | 2017 | 47 | |
| 20 | 2013 | 44 |
About Sofía Samper
Sofía Samper is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Medicine and Molecular Biology, having authored 86 papers that have together received 3.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (75 papers), Mycobacterium research and diagnosis (75 papers), Diagnosis and treatment of tuberculosis (21 papers), Infectious Diseases and Tuberculosis (17 papers), Antibiotic Resistance in Bacteria (11 papers), Bacteriophages and microbial interactions (5 papers), Vibrio bacteria research studies (5 papers) and Infectious Diseases and Mycology (4 papers). The work is most often cited by research in Infectious Diseases (3.3k citations), Epidemiology (3.1k citations), Molecular Medicine (267 citations), Surgery (1.6k citations) and Microbiology (19 citations). Sofía Samper has collaborated with scholars based in Spain, France and Canada. Frequent co-authors include Carlos Martı́n, Dick van Soolingen, Kristin Kremer, Roland Brosch, Stewart T. Cole, Alexander S. Pym, Priscille Brodin, R. Glyn Hewinson, Carmen Buchrieser and Cristina Gutierrez. Their work appears in journals such as Journal of Clinical Microbiology, Scientific Reports, BMC Microbiology, Clinical Infectious Diseases and Tuberculosis.
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.