Oliver Lenz
- Hepatology top 0.1%
- Epidemiology top 0.5%
- Infectious Diseases top 1%
- Rheumatology top 5%
- Molecular Biology
- Co-authors
- Monika PeetersMaria Beumont‐MauvielRonald KalmeijerJane ScottGuy De La RosaSivi Ouwerkerk‐MahadevanRekha SinhaThierry Verbinnen
- Topics
- Hepatitis C virus research (95 papers)Hepatitis B Virus Studies (63 papers)Liver Disease Diagnosis and Treatment (48 papers)
- Partner nations
- BelgiumUnited StatesGermany
In The Last Decade
Oliver Lenz
107 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Hepatology 4.0k
- Epidemiology 3.6k
- Infectious Diseases 1.3k
- Rheumatology 347
- Molecular Biology 305
Countries citing papers authored by Oliver Lenz
This map shows the geographic impact of Oliver Lenz'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 Oliver Lenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Lenz more than expected).
Fields of papers citing papers by Oliver Lenz
This network shows the impact of papers produced by Oliver Lenz. 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 Oliver Lenz. The network helps show where Oliver Lenz may publish in the future.
Co-authorship network of co-authors of Oliver Lenz
This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Lenz. A scholar is included among the top collaborators of Oliver Lenz 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 Oliver Lenz. Oliver Lenz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 22 | |
| 4 | 17 | |
| 5 | 5 | |
| 6 | 31 | |
| 7 | 4 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 14 | |
| 11 | First clinical experience with RNA interference [RNAI]-based triple combination therapy in chronic hepatitis B (CHB): JNJ-73763989 (JNJ-3989), JNJ-56136379 (JNJ-6379) and a nucleos(t)ide analogue (NA) | 7 |
| 12 | 117 | |
| 13 | O2寛容性膜結合[NiFe]ヒドロゲナーゼのクリプトン誘導体化によりガス輸送のための疎水性のトンネルネットワークが解明される | 2 |
| 14 | Simeprevir plus sofosbuvir (12 and 8 weeks) in hepatitis C virus genotype 1-infected patients without cirrhosis: OPTIMIST-1, a phase 3, randomized study | 5 |
| 15 | 19 | |
| 16 | 0 | |
| 17 | 69 | |
| 18 | TMC435 IN COMBINATION WITH PEGINTERFERON ALPHA-2A/RIBAVIRIN IN TREATMENT-NAiVE PATIENTS INFECTED WITH HCV GENOTYPE 1: VIROLOGY ANALYSIS OF THE PILLAR STUDY | 8 |
| 19 | 3 | |
| 20 | 18 |
About Oliver Lenz
Oliver Lenz is a scholar working on Hepatology, Epidemiology and Infectious Diseases, having authored 111 papers that have together received 4.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (95 papers), Hepatitis B Virus Studies (63 papers) and Liver Disease Diagnosis and Treatment (48 papers). The work is most often cited by research in Hepatology (4.0k citations), Epidemiology (3.6k citations) and Infectious Diseases (1.3k citations). Oliver Lenz has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Monika Peeters, Maria Beumont‐Mauviel, Ronald Kalmeijer, Jane Scott, Guy De La Rosa, Sivi Ouwerkerk‐Mahadevan, Rekha Sinha, Thierry Verbinnen, Bart Fevery and Michael Fried. Their work appears in journals such as The Lancet, Angewandte Chemie International Edition 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.