Daniel Tapia
Impact in
- Endocrinology top 10%
- Escherichia coli research studies
- Small Animals top 10%
- Brucella: diagnosis, epidemiology, treatment
Papers in
-
- Escherichia coli research studies 4
- Epidemiology 10
- Burkholderia infections and melioidosis 10
- Co-authors
- Alfredo G. Torres (13 shared papers)Javier I. Sanchez-Villamil (9 shared papers)Brittany N. Ross (3 shared papers)David Hughes Walker (3 shared papers)Jonas Contiero (1 shared paper)Preeti Bharaj (2 shared papers)Janice Jones Endsley (2 shared papers)Mridul Kalita (2 shared papers)
- Journals
- Frontiers in Cellular and Infection Microbiology (3 papers)mBio (2 papers)mSphere (2 papers)Clinical and Vaccine Immunology (1 paper)Infection and Immunity (1 paper)
- Partner nations
- United StatesMexicoBrazil
In The Last Decade
Daniel Tapia
19 papers receiving 374 citations
Peers
Comparison fields: 5 of 55
- Endocrinology 48
- Small Animals 54
- Epidemiology 171
- Molecular Medicine 24
- Infectious Diseases 79
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 | 51 | |
| 2 | 2017 | 50 | |
| 3 | 2019 | 47 | |
| 4 | 2018 | 31 | |
| 5 | 2020 | 26 | |
| 6 | 2015 | 23 | |
| 7 | 2021 | 22 | |
| 8 | 2008 | 20 | |
| 9 | 2019 | 19 | |
| 10 | 2020 | 16 | |
| 11 | 2023 | 16 | |
| 12 | 2016 | 13 | |
| 13 | 2019 | 11 | |
| 14 | 2019 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2015 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2011 | 5 | |
| 20 | 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 Endocrinology, Epidemiology, Small Animals, Infectious Diseases and Ecology, having authored 20 papers that have together received 388 indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (10 papers), Viral gastroenteritis research and epidemiology (4 papers), Escherichia coli research studies (4 papers), Bacteriophages and microbial interactions (3 papers), Brucella: diagnosis, epidemiology, treatment (3 papers), Coronary Artery Anomalies (1 paper), Enzyme Production and Characterization (1 paper) and Cocoa and Sweet Potato Agronomy (1 paper). The work is most often cited by research in Endocrinology (48 citations), Small Animals (54 citations), Epidemiology (171 citations), Molecular Medicine (24 citations) and Infectious Diseases (79 citations). Daniel Tapia has collaborated with scholars based in United States, Mexico and Brazil. Frequent co-authors include Alfredo G. Torres, Javier I. Sanchez-Villamil, Brittany N. Ross, David Hughes Walker, Jonas Contiero, Preeti Bharaj, Janice Jones Endsley, Mridul Kalita, Richard W. Titball and Heather L. Stevenson. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, mBio, mSphere, Clinical and Vaccine Immunology and Infection and Immunity.
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.