Chris Meier
Impact in
- Virology top 1%
- HIV Research and Treatment
- Infectious Diseases top 0.5%
- HIV/AIDS drug development and treatment
Papers in
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- Biochemical and Molecular Research 57
- DNA and Nucleic Acid Chemistry 49
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- HIV/AIDS drug development and treatment 104
- Co-authors
- Jan Balzarini (51 shared papers)Erik De Clercq (24 shared papers)Dominique Schols (19 shared papers)Henning J. Jessen (10 shared papers)Jan Balzarini (7 shared papers)Johanna Huchting (8 shared papers)Nicolas Gisch (8 shared papers)Xiao Jia (11 shared papers)
- Journals
- Nucleosides Nucleotides & Nucleic Acids (26 papers)Journal of Medicinal Chemistry (24 papers)European Journal of Organic Chemistry (17 papers)Antiviral Research (12 papers)ChemMedChem (8 papers)
- Partner nations
- GermanyBelgiumUnited States
In The Last Decade
Chris Meier
218 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 99
- Virology 672
- Infectious Diseases 1.7k
- Organic Chemistry 1.5k
- Physiology 181
- Molecular Biology 2.2k
Countries citing papers authored by Chris Meier
This map shows the geographic impact of Chris Meier'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 Chris Meier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Meier more than expected).
Fields of papers citing papers by Chris Meier
This network shows the impact of papers produced by Chris Meier. 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 Chris Meier. The network helps show where Chris Meier may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Meier, 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 229 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 208 | |
| 2 | 1998 | 111 | |
| 3 | 1998 | 104 | |
| 4 | 2008 | 80 | |
| 5 | 1999 | 76 | |
| 6 | 2003 | 76 | |
| 7 | 2005 | 74 | |
| 8 | 2009 | 74 | |
| 9 | 2015 | 74 | |
| 10 | 2014 | 73 | |
| 11 | 2006 | 63 | |
| 12 | 1996 | 62 | |
| 13 | 1999 | 60 | |
| 14 | 2016 | 58 | |
| 15 | 2002 | 56 | |
| 16 | 1996 | 55 | |
| 17 | 2017 | 53 | |
| 18 | 1995 | 53 | |
| 19 | 1998 | 52 | |
| 20 | 1999 | 46 |
About Chris Meier
Chris Meier is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Epidemiology and Virology, having authored 229 papers that have together received 3.9k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (104 papers), Biochemical and Molecular Research (57 papers), DNA and Nucleic Acid Chemistry (49 papers), Carbohydrate Chemistry and Synthesis (38 papers), HIV Research and Treatment (32 papers), Click Chemistry and Applications (27 papers), Pneumocystis jirovecii pneumonia detection and treatment (24 papers) and Cytomegalovirus and herpesvirus research (22 papers). The work is most often cited by research in Virology (672 citations), Infectious Diseases (1.7k citations), Organic Chemistry (1.5k citations), Physiology (181 citations) and Molecular Biology (2.2k citations). Chris Meier has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Jan Balzarini, Erik De Clercq, Dominique Schols, Henning J. Jessen, Jan Balzarini, Johanna Huchting, Nicolas Gisch, Xiao Jia, Gernot Boche and Jan Balzarini. Their work appears in journals such as Nucleosides Nucleotides & Nucleic Acids, Journal of Medicinal Chemistry, European Journal of Organic Chemistry, Antiviral Research and ChemMedChem.
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.