Erik Depla

48 papers receiving 2.6k citations

Erik Depla's Hit Papers

Cellular immune responses persist and humoral responses decrease two decades after recovery from a single-source outbreak of hepatitis C 2000 · 608 citations
6080+8+17Years since publication200400600

Peers

Erik Depla
Comparison fields: 5 of 78
  • Hepatology 1.7k
  • Virology 250
  • Epidemiology 1.4k
  • Radiology, Nuclear Medicine and Imaging 631
  • Immunology 433
Replace Domenico Rosa with:
Domenico Rosa Italy
Laurence Cocquerel France
Piero Pileri Italy
Antonella Folgori Italy
Elisa Scarselli Italy
Marian Major United States
Donna M. Tscherne United States
Marcus Dorner United States
Michiko Miyamoto Japan
Annalisa Meola Italy
Erik Depla relative to Domenico Rosa Italy Domenico Rosa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Erik Depla

Since Specialization
Citations

This map shows the geographic impact of Erik Depla'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 Erik Depla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Depla more than expected).

Fields of papers citing papers by Erik Depla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik Depla. 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 Erik Depla. The network helps show where Erik Depla may publish in the future.

Co-authors

The 25 scholars most cited alongside Erik Depla, 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 Erik Depla Line = papers co-authored together Erik Depla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cellular immune responses persist and humoral responses decrease two decades after recovery from a single-source outbreak of hepatitis C
Hit paper breakdown →
2000608
2 2003371
3 2015215
4 2006148
5 2007143
6 2004113
7 2011111
8 2003102
9 200787
10 200276
11 200376
12 200167
13 200865
14 200464
15 200459
16 199540
17 201136
18 199931
19 200030
20 199929

About Erik Depla

Erik Depla is a scholar working on Hepatology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology, having authored 48 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (28 papers), Hepatitis B Virus Studies (21 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), Systemic Lupus Erythematosus Research (7 papers), Glycosylation and Glycoproteins Research (4 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Hepatology (1.7k citations), Virology (250 citations), Epidemiology (1.4k citations), Radiology, Nuclear Medicine and Imaging (631 citations) and Immunology (433 citations). Erik Depla has collaborated with scholars based in Belgium, France and Germany. Frequent co-authors include Geert Maertens, Akinobu Takaki, M.P. Manns, Manfred Wiese, Ulrike Seifert, Jeffery L. Miller, Barbara Rehermann, Thomas F. Baumert, Hubert E. Blum and Heidi Barth. Their work appears in journals such as Journal of Virology, Hepatology, Journal of Hepatology, Journal of Viral Hepatitis and Molecular Immunology.

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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