C Pachl

1.9k total citations
21 papers, 1.5k citations indexed

About

C Pachl is a scholar working on Epidemiology, Virology and Molecular Biology. According to data from OpenAlex, C Pachl has authored 21 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 8 papers in Virology and 6 papers in Molecular Biology. Recurrent topics in C Pachl's work include Herpesvirus Infections and Treatments (11 papers), HIV Research and Treatment (8 papers) and Cytomegalovirus and herpesvirus research (8 papers). C Pachl is often cited by papers focused on Herpesvirus Infections and Treatments (11 papers), HIV Research and Treatment (8 papers) and Cytomegalovirus and herpesvirus research (8 papers). C Pachl collaborates with scholars based in United States, Japan and Czechia. C Pachl's co-authors include Rae Lyn Burke, Richard R. Spaete, Lucy Rasmussen, Shiro Tabata, Frank R. Masiarz, Pieter C. Wensink, William S. Probert, Lawrence R. Stanberry, M. G. Myers and David I. Bernstein and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

C Pachl

21 papers receiving 1.4k citations

Peers

C Pachl
Comparison fields: 5 of 80
  • Epidemiology 922
  • Virology 414
  • Molecular Biology 304
  • Infectious Diseases 302
  • Genetics 275
Replace Kenichi Umene with:
Kenichi Umene Japan
Akihisa Takamizawa Japan
I. McConnell United Kingdom
J. P. Lecocq France
Claude Méric France
Josef Köck Germany
B. Karsten Tischer Germany
Susanne Bell United Kingdom
Philip R. Wakeley United Kingdom
Vicki Traina‐Dorge United States
Kenichi Umene Japan View profile →
Citations per field, relative to C Pachl
C Pachl · 1×
Citations per year, relative to C Pachl
C Pachl · 1×

Countries citing papers authored by C Pachl

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of C Pachl

This figure shows the co-authorship network connecting the top 25 collaborators of C Pachl. A scholar is included among the top collaborators of C Pachl 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 C Pachl. C Pachl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 28
2 200
3
Performance characteristics for the quantitation of plasma HIV-1 RNA using branched DNA signal amplification technology.
55
4 3
5 58
6 65
7 77
8 46
9 33
10 166
11 175
12 86
13 64
14 79
15 73
16 38
17 48
18 108
19 14
20 13

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.

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