J. Silva
Impact in
- Infectious Diseases top 10%
- Clostridium difficile and Clostridium perfringens research
- Viral gastroenteritis research and epidemiology
- Ecology top 10%
- Bacteriophages and microbial interactions
Papers in
-
- Clostridium difficile and Clostridium perfringens research 4
- Tuberculosis Research and Epidemiology 2
- Antimicrobial Resistance in Staphylococcus 2
- Viral gastroenteritis research and epidemiology 2
- Ecology 7
- Bacteriophages and microbial interactions 7
- Co-authors
- Robert Schmieder (1 shared paper)Florent Angly (1 shared paper)Matthew Haynes (1 shared paper)Dana Willner (1 shared paper)Douglas Conrad (1 shared paper)Bahador Nosrat (1 shared paper)Mike Furlan (1 shared paper)Forest Rohwer (1 shared paper)
- Journals
- Research in Microbiology (2 papers)International Journal of Microbiology Research (1 paper)PLoS ONE (1 paper)Journal of Antimicrobial Chemotherapy (1 paper)Clinical Microbiology and Infection (1 paper)
- Partner nations
- United StatesBrazilGermany
In The Last Decade
J. Silva
16 papers receiving 541 citations
Peers
Comparison fields: 5 of 71
- Infectious Diseases 204
- Ecology 200
- Microbiology 42
- Endocrinology 34
- Epidemiology 161
Countries citing papers authored by J. Silva
This map shows the geographic impact of J. Silva'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 J. Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Silva more than expected).
Fields of papers citing papers by J. Silva
This network shows the impact of papers produced by J. Silva. 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 J. Silva. The network helps show where J. Silva may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Silva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 323 | |
| 2 | 1991 | 85 | |
| 3 | 2003 | 39 | |
| 4 | 2013 | 20 | |
| 5 | 2005 | 18 | |
| 6 | 2023 | 14 | |
| 7 | 2009 | 12 | |
| 8 | 2020 | 9 | |
| 9 | 2002 | 8 | |
| 10 | 2017 | 8 | |
| 11 | 1983 | 5 | |
| 12 | 2013 | 5 | |
| 13 | 2015 | 4 | |
| 14 | 2009 | 2 | |
| 15 | 2009 | 1 | |
| 16 | 2022 | 1 |
About J. Silva
J. Silva is a scholar working on Infectious Diseases, Ecology, Epidemiology, Molecular Biology and Clinical Biochemistry, having authored 16 papers that have together received 554 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (7 papers), Mycobacterium research and diagnosis (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Tuberculosis Research and Epidemiology (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Bacterial Identification and Susceptibility Testing (2 papers). The work is most often cited by research in Infectious Diseases (204 citations), Ecology (200 citations), Microbiology (42 citations), Endocrinology (34 citations) and Epidemiology (161 citations). J. Silva has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Robert Schmieder, Florent Angly, Matthew Haynes, Dana Willner, Douglas Conrad, Bahador Nosrat, Mike Furlan, Forest Rohwer, Yuting Tang and Paul H. Gumerlock. Their work appears in journals such as Research in Microbiology, International Journal of Microbiology Research, PLoS ONE, Journal of Antimicrobial Chemotherapy and Clinical Microbiology and Infection.
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.