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 ⓘ
- Virology 43
- HIV Research and Treatment 42
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- HIV/AIDS drug development and treatment 35
- HIV/AIDS Research and Interventions 19
- Co-authors
- Miguel E. Quiñones‐Mateu (25 shared papers)Bikram Chakraborty (6 shared papers)Jan Hodek (32 shared papers)Héctor R. Rangel (5 shared papers)V.S. Bagotzky (1 shared paper)Pavel Janda (2 shared papers)Michael Marotta (4 shared papers)Frank Große (1 shared paper)
- Journals
- Scientific Reports (7 papers)Antiviral Research (5 papers)PLoS ONE (5 papers)Viruses (4 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (3 papers)
- Partner nations
- CzechiaUnited StatesGermany
In The Last Decade
Jan Weber
113 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 138
- Virology 1.0k
- Infectious Diseases 1.0k
- Microbiology 335
- Electrochemistry 173
- Immunology 497
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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 354 | |
| 2 | 1970 | 162 | |
| 3 | 1984 | 162 | |
| 4 | 2006 | 144 | |
| 5 | 2001 | 98 | |
| 6 | 2016 | 78 | |
| 7 | 1991 | 78 | |
| 8 | 1989 | 74 | |
| 9 | 2003 | 72 | |
| 10 | 2005 | 67 | |
| 11 | 2012 | 66 | |
| 12 | 2007 | 66 | |
| 13 | 2008 | 63 | |
| 14 | 2016 | 55 | |
| 15 | 2015 | 54 | |
| 16 | 2016 | 51 | |
| 17 | 2002 | 43 | |
| 18 | 2006 | 43 | |
| 19 | 2017 | 42 | |
| 20 | 2020 | 38 |
About Jan Weber
Jan Weber is a scholar working on Virology, Infectious Diseases, Bioengineering, Physiology and Immunology, having authored 119 papers that have together received 3.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (42 papers), HIV/AIDS drug development and treatment (35 papers), HIV/AIDS Research and Interventions (19 papers), Biochemical and Molecular Research (12 papers), Click Chemistry and Applications (7 papers), Acoustic Wave Resonator Technologies (7 papers), Hepatitis B Virus Studies (6 papers) and Mechanical and Optical Resonators (6 papers). The work is most often cited by research in Virology (1.0k citations), Infectious Diseases (1.0k citations), Microbiology (335 citations), Electrochemistry (173 citations) and Immunology (497 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, Frank Große, Michael M. Lederman and Patti Kiser. Their work appears in journals such as Scientific Reports, Antiviral Research, PLoS ONE, Viruses and JAIDS Journal of Acquired Immune Deficiency Syndromes.
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.