Daniel O. Sánchez
- Epidemiology top 2%
- Trypanosoma species research and implications 53
- Hepatitis B Virus Studies 7
- Parasitology top 2%
- Small Animals top 1%
- Endocrinology top 5%
- Microbiology top 2%
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- Research on Leishmaniasis Studies 23
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- Biochemical and Molecular Research 11
- Glycosylation and Glycoproteins Research 8
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- Insect symbiosis and bacterial influences 11
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- Hepatitis C virus research 7
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- Galectins and Cancer Biology 7
- Co-authors
- Alberto C.C. FraschJavier M. Di NoiaJuan José CazzuloOscar CampetellaRodolfo A. UgaldeDiego J. ComerciRodrigo SieiraGuido D. Pollevick
- Journals
- Molecular and Biochemical Parasitology (12 papers)PLoS ONE (6 papers)Infection and Immunity (4 papers)
- Partner nations
- ArgentinaSpainUnited States
In The Last Decade
Daniel O. Sánchez
84 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 99
- Epidemiology 1.6k
- Parasitology 243
- Small Animals 239
- Endocrinology 161
- Microbiology 180
Countries citing papers authored by Daniel O. Sánchez
This map shows the geographic impact of Daniel O. Sánchez'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 O. Sánchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel O. Sánchez more than expected).
Fields of papers citing papers by Daniel O. Sánchez
This network shows the impact of papers produced by Daniel O. Sánchez. 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 O. Sánchez. The network helps show where Daniel O. Sánchez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel O. Sánchez, 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 | 2020 | 11 | |
| 2 | 2020 | 6 | |
| 3 | 2016 | 8 | |
| 4 | 2012 | 15 | |
| 5 | 2011 | 11 | |
| 6 | 2010 | 20 | |
| 7 | 2009 | 50 | |
| 8 | 2008 | 20 | |
| 9 | Comparative genome analysis applied to develop novel PCR assays to characterise and identify Campylobacter fetus subsp venerealis isolates | 2007 | 3 |
| 10 | 2006 | 3 | |
| 11 | 2005 | 5 | |
| 12 | 2004 | 33 | |
| 13 | 1999 | 14 | |
| 14 | 1997 | 19 | |
| 15 | 1995 | 19 | |
| 16 | 1995 | 88 | |
| 17 | 1993 | 18 | |
| 18 | 1993 | 20 | |
| 19 | 1992 | 86 | |
| 20 | 1987 | 24 |
About Daniel O. Sánchez
Daniel O. Sánchez is a scholar working on Epidemiology, Insect Science and Parasitology, having authored 85 papers that have together received 2.5k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (53 papers), Research on Leishmaniasis Studies (23 papers), Biochemical and Molecular Research (11 papers), Insect symbiosis and bacterial influences (11 papers), Glycosylation and Glycoproteins Research (8 papers), Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (7 papers) and Galectins and Cancer Biology (7 papers). The work is most often cited by research in Epidemiology (1.6k citations), Parasitology (243 citations) and Small Animals (239 citations). Daniel O. Sánchez has collaborated with scholars based in Argentina, Spain and United States. Frequent co-authors include Alberto C.C. Frasch, Javier M. Di Noia, Juan José Cazzulo, Oscar Campetella, Rodolfo A. Ugalde, Diego J. Comerci, Rodrigo Sieira, Guido D. Pollevick, Iván D’Orso and María Laura Cremona. Their work appears in journals such as Molecular and Biochemical Parasitology, PLoS ONE, Infection and Immunity, Journal of Biological Chemistry and Virus 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.