Joerg Petersen
- Epidemiology top 0.5%
- Hepatology top 0.2%
- Molecular Biology
- Infectious Diseases top 5%
- Immunology top 10%
- Co-authors
- Maura DandriTassilo VolzMarc LütgehetmannLena AllweissAnsgar W. LohseCharles E. RoglerMartin R. BurdaHans Will
- Topics
- Hepatitis B Virus Studies (35 papers)Hepatitis C virus research (30 papers)Liver Disease Diagnosis and Treatment (23 papers)
- Cited by
- HepatologyEpidemiologyVirology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Joerg Petersen
39 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Epidemiology 2.8k
- Hepatology 2.5k
- Molecular Biology 420
- Infectious Diseases 371
- Immunology 261
Countries citing papers authored by Joerg Petersen
This map shows the geographic impact of Joerg Petersen'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 Joerg Petersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joerg Petersen more than expected).
Fields of papers citing papers by Joerg Petersen
This network shows the impact of papers produced by Joerg Petersen. 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 Joerg Petersen. The network helps show where Joerg Petersen may publish in the future.
Co-authorship network of co-authors of Joerg Petersen
This figure shows the co-authorship network connecting the top 25 collaborators of Joerg Petersen. A scholar is included among the top collaborators of Joerg Petersen 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 Joerg Petersen. Joerg Petersen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 136 | |
| 4 | Latest developments in the treatment of hepatitis B. | 10 |
| 5 | 39 | |
| 6 | 97 | |
| 7 | 7 | |
| 8 | 206 | |
| 9 | 70 | |
| 10 | IFN-α inhibits HBV transcription and replication in cell culture and in humanized mice by targeting the epigenetic regulation of the nuclear cccDNA minichromosomebreakdown → | 444 |
| 11 | 122 | |
| 12 | 89 | |
| 13 | 55 | |
| 14 | 1 | |
| 15 | 159 | |
| 16 | 354 | |
| 17 | 84 | |
| 18 | 310 | |
| 19 | 84 | |
| 20 | 81 |
About Joerg Petersen
Joerg Petersen is a scholar working on Hepatology, Epidemiology and Infectious Diseases, having authored 40 papers that have together received 3.2k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (35 papers), Hepatitis C virus research (30 papers) and Liver Disease Diagnosis and Treatment (23 papers). The work is most often cited by research in Hepatology (2.5k citations), Epidemiology (2.8k citations) and Virology (124 citations). Joerg Petersen has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Maura Dandri, Tassilo Volz, Marc Lütgehetmann, Lena Allweiss, Ansgar W. Lohse, Charles E. Rogler, Martin R. Burda, Hans Will, Teresa Pollicino and Joerg M. Pollok. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.