C Pachl
Impact in
- Virology top 1%
- HIV Research and Treatment
- Epidemiology top 2%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
Papers in
- Epidemiology 13
- Herpesvirus Infections and Treatments 11
- Cytomegalovirus and herpesvirus research 8
- Virology 8
- HIV Research and Treatment 8
- Co-authors
- Rae Lyn Burke (5 shared papers)Richard R. Spaete (6 shared papers)Lucy Rasmussen (4 shared papers)William S. Probert (3 shared papers)Pieter C. Wensink (1 shared paper)Frank R. Masiarz (3 shared papers)Shiro Tabata (1 shared paper)David I. Bernstein (1 shared paper)
- Journals
- Journal of Virology (4 papers)The Journal of Infectious Diseases (3 papers)Virology (3 papers)AIDS (2 papers)Cell (2 papers)
- Partner nations
- United StatesJapanBrazil
In The Last Decade
C Pachl
21 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 80
- Virology 407
- Epidemiology 964
- Parasitology 159
- Infectious Diseases 285
- Immunology 264
Countries citing papers authored by C Pachl
This map shows the geographic impact of C Pachl'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 C Pachl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Pachl more than expected).
Fields of papers citing papers by C Pachl
This network shows the impact of papers produced by C Pachl. 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 C Pachl. The network helps show where C Pachl may publish in the future.
Co-authors
The 25 scholars most cited alongside C Pachl, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 214 | |
| 2 | 1987 | 187 | |
| 3 | 1988 | 173 | |
| 4 | 1979 | 115 | |
| 5 | 1987 | 88 | |
| 6 | 1991 | 88 | |
| 7 | 1986 | 84 | |
| 8 | 1990 | 83 | |
| 9 | 1986 | 75 | |
| 10 | 1993 | 67 | |
| 11 | 1987 | 66 | |
| 12 | 1993 | 66 | |
| 13 | Performance characteristics for the quantitation of plasma HIV-1 RNA using branched DNA signal amplification technology. | 1995 | 60 |
| 14 | 1983 | 51 | |
| 15 | 1989 | 48 | |
| 16 | 1983 | 40 | |
| 17 | 1989 | 36 | |
| 18 | 1997 | 31 | |
| 19 | 1976 | 14 | |
| 20 | 1978 | 14 |
About C Pachl
C Pachl is a scholar working on Epidemiology, Virology, Molecular Biology, Genetics and Infectious Diseases, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (11 papers), Cytomegalovirus and herpesvirus research (8 papers), HIV Research and Treatment (8 papers), HIV/AIDS drug development and treatment (4 papers), Toxin Mechanisms and Immunotoxins (2 papers), Bacteriophages and microbial interactions (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Virology (407 citations), Epidemiology (964 citations), Parasitology (159 citations), Infectious Diseases (285 citations) and Immunology (264 citations). C Pachl has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Rae Lyn Burke, Richard R. Spaete, Lucy Rasmussen, William S. Probert, Pieter C. Wensink, Frank R. Masiarz, Shiro Tabata, David I. Bernstein, Lawrence R. Stanberry and M. G. Myers. Their work appears in journals such as Journal of Virology, The Journal of Infectious Diseases, Virology, AIDS and Cell.
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.