Daniel Tapia
Impact in
- Endocrinology top 10%
- Escherichia coli research studies
- Small Animals top 10%
- Brucella: diagnosis, epidemiology, treatment
Papers in
-
- Burkholderia infections and melioidosis 9
-
- Viral gastroenteritis research and epidemiology 4
- Co-authors
- Alfredo G. Torres (12 shared papers)Brittany N. Ross (3 shared papers)David H. Walker (3 shared papers)Jonas Contiero (1 shared paper)Preeti Bharaj (2 shared papers)Janice J. Endsley (2 shared papers)Mridul Kalita (2 shared papers)Paul J. Brett (1 shared paper)
- Journals
- Frontiers in Cellular and Infection Microbiology (3 papers)mSphere (2 papers)mBio (2 papers)Infection and Immunity (1 paper)Archives of Medical Research (1 paper)
- Partner nations
- United StatesMexicoBrazil
In The Last Decade
Daniel Tapia
18 papers receiving 332 citations
Peers
Comparison fields: 5 of 49
- Endocrinology 49
- Small Animals 53
- Molecular Medicine 23
- Epidemiology 156
- Infectious Diseases 78
Countries citing papers authored by Daniel Tapia
This map shows the geographic impact of Daniel Tapia'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 Daniel Tapia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Tapia more than expected).
Fields of papers citing papers by Daniel Tapia
This network shows the impact of papers produced by Daniel Tapia. 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 Daniel Tapia. The network helps show where Daniel Tapia may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Tapia, 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 | 2019 | 44 | |
| 2 | 2019 | 44 | |
| 3 | 2017 | 43 | |
| 4 | 2018 | 29 | |
| 5 | 2020 | 24 | |
| 6 | 2015 | 21 | |
| 7 | 2019 | 19 | |
| 8 | 2021 | 19 | |
| 9 | 2008 | 17 | |
| 10 | 2020 | 15 | |
| 11 | 2016 | 13 | |
| 12 | 2023 | 12 | |
| 13 | 2019 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2011 | 5 | |
| 18 | 2015 | 5 | |
| 19 | AVALIAÇÃO DA QUALIDADE FÍSICO-QUÍMICA E MICROBIOLÓGICA DE QUEIJOS DO TIPO MUSSARELA COMERCIALIZADOS NO CEASA DE VITÓRIA DA CONQUISTA - BA | 2012 | 0 |
About Daniel Tapia
Daniel Tapia is a scholar working on Epidemiology, Infectious Diseases, Small Animals, Endocrinology and Ecology, having authored 19 papers that have together received 345 indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (9 papers), Escherichia coli research studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Bacteriophages and microbial interactions (3 papers), Brucella: diagnosis, epidemiology, treatment (3 papers), Plant-Microbe Interactions and Immunity (1 paper), Coccidia and coccidiosis research (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Endocrinology (49 citations), Small Animals (53 citations), Molecular Medicine (23 citations), Epidemiology (156 citations) and Infectious Diseases (78 citations). Daniel Tapia has collaborated with scholars based in United States, Mexico and Brazil. Frequent co-authors include Alfredo G. Torres, Brittany N. Ross, David H. Walker, Jonas Contiero, Preeti Bharaj, Janice J. Endsley, Mridul Kalita, Paul J. Brett, Heather L. Stevenson and James E. Samuel. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, mSphere, mBio, Infection and Immunity and Archives of Medical Research.
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.