Daniel J. Eichinger

52 papers receiving 2.6k citations

Peers

Daniel J. Eichinger
Comparison fields: 5 of 110
  • Parasitology 623
  • Infectious Diseases 694
  • Epidemiology 736
  • Public Health, Environmental and Occupational Health 590
  • Molecular Biology 1.3k
Replace Hilkka Lankinen with:
Hilkka Lankinen Finland
Raymond L. Houghton United States
James R. Stringer United States
Richard J. Pleass United Kingdom
Domenico Tortorella United States
RAYMOND HAMERS Belgium
Mette Strand United States
Catherine Ronet Switzerland
Agathe Subtil France
Eva‐Maria Frickel United Kingdom
Daniel J. Eichinger relative to Hilkka Lankinen Finland Hilkka Lankinen's profile →
Citations per field
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Hilkka Lankinen · 1×
Citations per year

Countries citing papers authored by Daniel J. Eichinger

Since Specialization
Citations

This map shows the geographic impact of Daniel J. 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 J. 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 J. Eichinger more than expected).

Fields of papers citing papers by Daniel J. Eichinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. 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 J. Eichinger. The network helps show where Daniel J. Eichinger may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel J. Eichinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel J. Eichinger Line = papers co-authored together Daniel J. Eichinger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994264
2 1994177
3 1988174
4 2012144
5 1988122
6 2007119
7 1997113
8 1993111
9 1994103
10 198698
11 199276
12 200274
13 199769
14 201767
15 199765
16 200162
17 199462
18 200354
19 199951
20 201849

About Daniel J. Eichinger

Daniel J. Eichinger is a scholar working on Parasitology, Infectious Diseases, Molecular Biology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 52 papers that have together received 2.7k 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), Monoclonal and Polyclonal Antibodies Research (6 papers), Pediatric Hepatobiliary Diseases and Treatments (6 papers) and Fungal and yeast genetics research (5 papers). The work is most often cited by research in Parasitology (623 citations), Infectious Diseases (694 citations), Epidemiology (736 citations), Public Health, Environmental and Occupational Health (590 citations) and Molecular Biology (1.3k citations). Daniel J. Eichinger has collaborated with scholars based in United States, Brazil and Puerto Rico. Frequent co-authors include Sérgio Schenkman, Jef D. Boeke, Victor Nussenzweig, Miercio E.A. Pereira, Vincenzo Enea, Moriya Tsuji, Fidel P. Zavala, Alida Coppi, Diego H. Castrillón and Gerald R. Fink. Their work appears in journals such as Molecular and Biochemical Parasitology, Molecular & Cellular Proteomics, Molecular and Cellular Biology, Glycobiology and International Journal for Parasitology.

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.

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