Pere Coll

7.8k citations
158 papers · 4.8k · h-index 42

Impact in

Papers in

    • Mycobacterium research and diagnosis 29
    • Pneumonia and Respiratory Infections 18
    • Infective Endocarditis Diagnosis and Management 11
    • Tuberculosis Research and Epidemiology 34

Pere Coll

154 papers receiving 4.5k citations

Peers

Pere Coll
Comparison fields: 5 of 140
  • Molecular Medicine 1.0k
  • Microbiology 141
  • Endocrinology 497
  • Infectious Diseases 1.3k
  • Epidemiology 2.1k
Replace Phyllis Della‐Latta with:
Phyllis Della‐Latta United States
Kathleen A. Shutt United States
Peter H. Gilligan United States
Sofia Maraki Greece
M.W. Casewell United Kingdom
Reno Frei Switzerland
Mi‐Na Kim South Korea
Jun Hee Woo South Korea
Satoshi Ichiyama Japan
Pallab Ray India
Pere Coll relative to Phyllis Della‐Latta United States Phyllis Della‐Latta's profile →
Citations per field
00.5×1.5×
Phyllis Della‐Latta · 1×
Citations per year

Countries citing papers authored by Pere Coll

Since Specialization
Citations

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

Fields of papers citing papers by Pere Coll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000344
2 2005171
3 2007163
4 2000138
5 1993138
6 2007124
7 1998122
8 1998109
9 199798
10 200580
11 198879
12 200478
13 201272
14 200567
15 200866
16 200661
17 200060
18 201560
19 200655
20 200554

About Pere Coll

Pere Coll is a scholar working on Epidemiology, Infectious Diseases, Molecular Medicine, Surgery and Microbiology, having authored 158 papers that have together received 4.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (34 papers), Mycobacterium research and diagnosis (29 papers), Antibiotic Resistance in Bacteria (26 papers), Pneumonia and Respiratory Infections (18 papers), Bacterial Infections and Vaccines (17 papers), Infectious Diseases and Tuberculosis (11 papers), Infective Endocarditis Diagnosis and Management (11 papers) and Streptococcal Infections and Treatments (9 papers). The work is most often cited by research in Molecular Medicine (1.0k citations), Microbiology (141 citations), Endocrinology (497 citations), Infectious Diseases (1.3k citations) and Epidemiology (2.1k citations). Pere Coll has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Ferrán Navarro, Beatriz Mirelis, Guillem Prats, Elisenda Miró, Alba Rivera, F Sánchez, Peré Domingo, Francesca March, Jordi Almirall and Montserrat Español. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Antimicrobial Chemotherapy, Clinical Microbiology and Infection, Clinical Infectious Diseases and Journal of Medical 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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