G. R. Pape
- Hepatology top 0.5%
- Epidemiology top 2%
- Immunology top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Co-authors
- Helmut M. DiepolderRobert M. HoffmannRoman ZachovalM. JungTeresa SantantonioE A WierengaG. RiethmüllerD. Eichenlaub
- Topics
- Hepatitis C virus research (22 papers)Hepatitis B Virus Studies (14 papers)Immune Cell Function and Interaction (9 papers)
- Cited by
- HepatologyImmunologyVirology
- Partner nations
- GermanySwedenUnited States
In The Last Decade
G. R. Pape
35 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Hepatology 1.5k
- Epidemiology 1.3k
- Immunology 1.1k
- Radiology, Nuclear Medicine and Imaging 310
- Molecular Biology 269
Countries citing papers authored by G. R. Pape
This map shows the geographic impact of G. R. Pape'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 G. R. Pape with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. R. Pape more than expected).
Fields of papers citing papers by G. R. Pape
This network shows the impact of papers produced by G. R. Pape. 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 G. R. Pape. The network helps show where G. R. Pape may publish in the future.
Co-authorship network of co-authors of G. R. Pape
This figure shows the co-authorship network connecting the top 25 collaborators of G. R. Pape. A scholar is included among the top collaborators of G. R. Pape 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 G. R. Pape. G. R. Pape is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 29 | |
| 7 | 91 | |
| 8 | Interferon-antibodies and the breakthrough phenomenon during ribavirin/interferon-alpha combination therapy and interferon-alpha monotherapy of patients with chronic hepatitis C. | 13 |
| 9 | 7 | |
| 10 | 71 | |
| 11 | 36 | |
| 12 | 87 | |
| 13 | 32 | |
| 14 | Possible mechanism involving T-lymphocyte response to non-structural protein 3 in viral clearance in acute hepatitis C virus infectionbreakdown → | 586 |
| 15 | 35 | |
| 16 | 3 | |
| 17 | 475 | |
| 18 | 1 | |
| 19 | 17 | |
| 20 | 14 |
About G. R. Pape
G. R. Pape is a scholar working on Hepatology, Immunology and Virology, having authored 36 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hepatitis C virus research (22 papers), Hepatitis B Virus Studies (14 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Hepatology (1.5k citations), Immunology (1.1k citations) and Virology (191 citations). G. R. Pape has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Helmut M. Diepolder, Robert M. Hoffmann, Roman Zachoval, M. Jung, Teresa Santantonio, E A Wierenga, G. Riethmüller, D. Eichenlaub, Ulrich Spengler and MC Jung. Their work appears in journals such as The Lancet, The Journal of Experimental Medicine and The Journal of 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.