Erik Depla
- Hepatology top 0.5%
- Epidemiology top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Immunology top 5%
- Molecular Biology
- Co-authors
- Geert MaertensUlrike SeifertJeffery L. MillerAkinobu TakakiManfred WieseBarbara RehermannM.P. MannsThomas F. Baumert
- Topics
- Hepatitis C virus research (28 papers)Hepatitis B Virus Studies (23 papers)Monoclonal and Polyclonal Antibodies Research (19 papers)
- Cited by
- HepatologyVirologyEpidemiology
In The Last Decade
Erik Depla
48 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Hepatology 1.8k
- Epidemiology 1.6k
- Radiology, Nuclear Medicine and Imaging 697
- Immunology 485
- Molecular Biology 482
Countries citing papers authored by Erik Depla
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
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-authorship network of co-authors of Erik Depla
This figure shows the co-authorship network connecting the top 25 collaborators of Erik Depla. A scholar is included among the top collaborators of Erik Depla based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Erik Depla. Erik Depla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 64 | |
| 4 | 148 | |
| 5 | Improvement in liver histology after 3 years of E1 therapeutic vaccination in 23 patients with chronic hepatitis C | 2 |
| 6 | 367 | |
| 7 | 102 | |
| 8 | A candidate therapeutic vaccine for chronic hepatitis C infection based on envelope 1 protein: Tolerability and immunogenicity in healthy adult volunteers | 5 |
| 9 | 30 | |
| 10 | Cellular immune responses persist and humoral responses decrease two decades after recovery from a single-source outbreak of hepatitis Cbreakdown → | 608 |
| 11 | 7 | |
| 12 | 12 | |
| 13 | 10 | |
| 14 | 19 | |
| 15 | Antibodies to E1 and E2 in chronic HCV patients with a long-term response to interferon therapy | 1 |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 40 | |
| 19 | 3 | |
| 20 | 2 |
About Erik Depla
Erik Depla is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Epidemiology, 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 (23 papers) and Monoclonal and Polyclonal Antibodies Research (19 papers). The work is most often cited by research in Hepatology (1.8k citations), Virology (282 citations) and Epidemiology (1.6k citations). Erik Depla has collaborated with scholars based in Belgium, France and Germany. Frequent co-authors include Geert Maertens, Ulrike Seifert, Jeffery L. Miller, Akinobu Takaki, Manfred Wiese, Barbara Rehermann, M.P. Manns, Thomas F. Baumert, Heidi Barth and Hubert E. Blum. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Gastroenterology.
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.