Thomas Schluep
- Molecular Biology top 10%
- Epidemiology top 5%
- Hepatology top 1%
- Biomaterials top 2%
- Biomedical Engineering top 10%
- Co-authors
- Mark E. DavisJungyeon HwangBruce D. GivenChing‐Lung LaiRobert G. GishStephen LocarniniJeremy D. HeidelJohnson Y.N. Lau
- Topics
- Hepatitis B Virus Studies (17 papers)RNA Interference and Gene Delivery (16 papers)Nanoparticle-Based Drug Delivery (9 papers)
- Cited by
- HepatologyBiomaterialsEpidemiology
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNucleic Acids Research
- Partner nations
- United StatesHong KongAustralia
In The Last Decade
Thomas Schluep
47 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.2k
- Epidemiology 873
- Hepatology 690
- Biomaterials 645
- Biomedical Engineering 453
Countries citing papers authored by Thomas Schluep
This map shows the geographic impact of Thomas Schluep'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 Thomas Schluep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Schluep more than expected).
Fields of papers citing papers by Thomas Schluep
This network shows the impact of papers produced by Thomas Schluep. 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 Thomas Schluep. The network helps show where Thomas Schluep may publish in the future.
Co-authorship network of co-authors of Thomas Schluep
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Schluep. A scholar is included among the top collaborators of Thomas Schluep 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 Thomas Schluep. Thomas Schluep is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 17 | |
| 3 | 65 | |
| 4 | 13 | |
| 5 | 37 | |
| 6 | 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 |
| 7 | 342 | |
| 8 | Effective inhibition of cccDNA derived mRNA/viral antigens and tolerability with ARC-520 | 1 |
| 9 | 3 | |
| 10 | 113 | |
| 11 | 188 | |
| 12 | 78 | |
| 13 | 81 | |
| 14 | 49 | |
| 15 | 118 | |
| 16 | 13 | |
| 17 | 10 | |
| 18 | 68 | |
| 19 | 9 | |
| 20 | 151 |
About Thomas Schluep
Thomas Schluep is a scholar working on Hepatology, Biomaterials and Epidemiology, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (17 papers), RNA Interference and Gene Delivery (16 papers) and Nanoparticle-Based Drug Delivery (9 papers). The work is most often cited by research in Hepatology (690 citations), Biomaterials (645 citations) and Epidemiology (873 citations). Thomas Schluep has collaborated with scholars based in United States, Hong Kong and Australia. Frequent co-authors include Mark E. Davis, Jungyeon Hwang, Bruce D. Given, Ching‐Lung Lai, Robert G. Gish, Stephen Locarnini, Jeremy D. Heidel, Johnson Y.N. Lau, David L. Lewis and Jianjun Cheng. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.