Matthew J. Labreche
- Internal Medicine top 5%
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Infectious Diseases
- Applied Microbiology and Biotechnology top 2%
- Co-authors
- John FanikosChristopher R. FreiSamuel Z. GoldhaberGregory PiazzaSteven BarolettiKaren FiumaraKaren BartonSusan E. Sharp
- Topics
- Bacterial Identification and Susceptibility Testing (4 papers)Venous Thromboembolism Diagnosis and Management (4 papers)Antimicrobial Resistance in Staphylococcus (3 papers)
- Partner nations
- United States
In The Last Decade
Matthew J. Labreche
16 papers receiving 491 citations
Peers
Comparison fields: 5 of 85
- Internal Medicine 131
- Cardiology and Cardiovascular Medicine 118
- Epidemiology 111
- Infectious Diseases 94
- Applied Microbiology and Biotechnology 94
Countries citing papers authored by Matthew J. Labreche
This map shows the geographic impact of Matthew J. Labreche'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 Matthew J. Labreche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Labreche more than expected).
Fields of papers citing papers by Matthew J. Labreche
This network shows the impact of papers produced by Matthew J. Labreche. 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 Matthew J. Labreche. The network helps show where Matthew J. Labreche may publish in the future.
Co-authorship network of co-authors of Matthew J. Labreche
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Labreche. A scholar is included among the top collaborators of Matthew J. Labreche 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 Matthew J. Labreche. Matthew J. Labreche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 59 | |
| 3 | 13 | |
| 4 | 17 | |
| 5 | 18 | |
| 6 | 58 | |
| 7 | 19 | |
| 8 | 86 | |
| 9 | 14 | |
| 10 | 27 | |
| 11 | 36 | |
| 12 | 48 | |
| 13 | 35 | |
| 14 | 7 | |
| 15 | 40 | |
| 16 | Identification of documented medication non-adherence in physician notes. | 9 |
About Matthew J. Labreche
Matthew J. Labreche is a scholar working on Internal Medicine, Applied Microbiology and Biotechnology and Family Practice, having authored 16 papers that have together received 515 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (94 citations), Internal Medicine (131 citations) and Geriatrics and Gerontology (52 citations). Matthew J. Labreche has collaborated with scholars based in United States. Frequent co-authors include John Fanikos, Christopher R. Frei, Samuel Z. Goldhaber, Gregory Piazza, Steven Baroletti, Karen Fiumara, Karen Barton, Susan E. Sharp, Deborah Cios and Nha Thanh Nguyen. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and The American Journal of Medicine.
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.