Daniel Eichinger
- Parasitology top 0.5%
- Parasitic Infections and Diagnostics 13
- Infectious Diseases top 2%
- Amoebic Infections and Treatments 17
- Epidemiology top 5%
- Trypanosoma species research and implications 11
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 7
- Biochemical and Molecular Research 6
- Fungal and yeast genetics research 6
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- Pediatric Hepatobiliary Diseases and Treatments 6
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- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Jef D. BoekeSérgio SchenkmanVictor NussenzweigM E PereiraVincenzo EneaFidel ZavalaMoriya TsujiGerald R. Fink
- Journals
- Molecular and Biochemical Parasitology (6 papers)Molecular & Cellular Proteomics (4 papers)Molecular and Cellular Biology (4 papers)
- Partner nations
- United StatesBrazilPuerto Rico
In The Last Decade
Daniel Eichinger
52 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 108
- Parasitology 628
- Infectious Diseases 662
- Epidemiology 727
- Public Health, Environmental and Occupational Health 572
- Molecular Biology 1.3k
Countries citing papers authored by Daniel Eichinger
This map shows the geographic impact of Daniel Eichinger'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 Eichinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Eichinger more than expected).
Fields of papers citing papers by Daniel Eichinger
This network shows the impact of papers produced by Daniel Eichinger. 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 Eichinger. The network helps show where Daniel Eichinger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Eichinger, 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 | 2023 | 4 | |
| 2 | 2021 | 2 | |
| 3 | 2019 | 11 | |
| 4 | 2017 | 64 | |
| 5 | 2016 | 4 | |
| 6 | 2007 | 8 | |
| 7 | 2007 | 108 | |
| 8 | 2007 | 7 | |
| 9 | 2004 | 35 | |
| 10 | 2004 | 3 | |
| 11 | 2002 | 59 | |
| 12 | 2001 | 60 | |
| 13 | 1997 | 70 | |
| 14 | 1995 | 19 | |
| 15 | 1994 | 16 | |
| 16 | 1994 | 101 | |
| 17 | 1994 | 33 | |
| 18 | 1993 | 104 | |
| 19 | 1992 | 72 | |
| 20 | 1988 | 181 |
About Daniel Eichinger
Daniel Eichinger is a scholar working on Parasitology, Infectious Diseases and Molecular Biology, having authored 52 papers that have together received 2.6k indexed citations. Recurring topics across this work include Amoebic Infections and Treatments (17 papers), Parasitic Infections and Diagnostics (13 papers), Trypanosoma species research and implications (11 papers), Glycosylation and Glycoproteins Research (7 papers), Biochemical and Molecular Research (6 papers), Pediatric Hepatobiliary Diseases and Treatments (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Fungal and yeast genetics research (6 papers). The work is most often cited by research in Parasitology (628 citations), Infectious Diseases (662 citations) and Epidemiology (727 citations). Daniel Eichinger has collaborated with scholars based in United States, Brazil and Puerto Rico. Frequent co-authors include Jef D. Boeke, Sérgio Schenkman, Victor Nussenzweig, M E Pereira, Vincenzo Enea, Fidel Zavala, Moriya Tsuji, Gerald R. Fink, Alida Coppi and Diego H. Castrillón. Their work appears in journals such as Molecular and Biochemical Parasitology, Molecular & Cellular Proteomics, Molecular and Cellular Biology, Experimental Parasitology and Journal of Biological Chemistry.
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.