Jan Weber
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 1%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
-
- HIV/AIDS drug development and treatment 35
- HIV/AIDS Research and Interventions 18
- Virology 42
- HIV Research and Treatment 41
- Co-authors
- Miguel E. Quiñones‐Mateu (25 shared papers)Bikram Chakraborty (6 shared papers)Jan Hodek (33 shared papers)Héctor R. Rangel (5 shared papers)V.S. Bagotzky (1 shared paper)Pavel Janda (2 shared papers)Michael Marotta (4 shared papers)Michael M. Lederman (4 shared papers)
- Journals
- Scientific Reports (8 papers)PLoS ONE (5 papers)Antiviral Research (5 papers)Viruses (4 papers)Journal of Clinical Microbiology (3 papers)
- Partner nations
- CzechiaUnited StatesGermany
In The Last Decade
Jan Weber
120 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 140
- Virology 924
- Infectious Diseases 962
- Microbiology 333
- Electrochemistry 187
- Immunology 476
Countries citing papers authored by Jan Weber
This map shows the geographic impact of Jan Weber'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 Jan Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Weber more than expected).
Fields of papers citing papers by Jan Weber
This network shows the impact of papers produced by Jan Weber. 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 Jan Weber. The network helps show where Jan Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Weber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 372 | |
| 2 | 1970 | 172 | |
| 3 | 1984 | 168 | |
| 4 | 2006 | 155 | |
| 5 | 2001 | 102 | |
| 6 | 1991 | 84 | |
| 7 | 2016 | 82 | |
| 8 | 1989 | 76 | |
| 9 | 2003 | 73 | |
| 10 | 2012 | 71 | |
| 11 | 2007 | 71 | |
| 12 | 2005 | 68 | |
| 13 | 2008 | 67 | |
| 14 | 2015 | 56 | |
| 15 | 2016 | 55 | |
| 16 | 2016 | 52 | |
| 17 | 2002 | 44 | |
| 18 | 2017 | 43 | |
| 19 | 2006 | 43 | |
| 20 | 2020 | 41 |
About Jan Weber
Jan Weber is a scholar working on Infectious Diseases, Virology, Molecular Biology, Epidemiology and Immunology, having authored 124 papers that have together received 3.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (41 papers), HIV/AIDS drug development and treatment (35 papers), HIV/AIDS Research and Interventions (18 papers), Biochemical and Molecular Research (12 papers), Acoustic Wave Resonator Technologies (8 papers), Hepatitis B Virus Studies (7 papers), Click Chemistry and Applications (7 papers) and Mechanical and Optical Resonators (6 papers). The work is most often cited by research in Virology (924 citations), Infectious Diseases (962 citations), Microbiology (333 citations), Electrochemistry (187 citations) and Immunology (476 citations). Jan Weber has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Miguel E. Quiñones‐Mateu, Bikram Chakraborty, Jan Hodek, Héctor R. Rangel, V.S. Bagotzky, Pavel Janda, Michael Marotta, Michael M. Lederman, Frank Große and Patti Kiser. Their work appears in journals such as Scientific Reports, PLoS ONE, Antiviral Research, Viruses and Journal of Clinical Microbiology.
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.