Patrick Guye
Impact in
- Parasitology top 2%
- Bartonella species infections research
- Vector-borne infectious diseases
- Endocrinology top 5%
Papers in
-
- CRISPR and Genetic Engineering 5
- Gene Regulatory Network Analysis 4
- Pluripotent Stem Cells Research 2
-
- Bartonella species infections research 7
- Vector-borne infectious diseases 4
- Co-authors
- Christoph Dehio (9 shared papers)Ron Weiss (8 shared papers)Yinqing Li (3 shared papers)Michael C. Schmid (2 shared papers)Ralf Schülein (2 shared papers)Xavier Duportet (3 shared papers)Liliana Wróblewska (2 shared papers)Gunnar F. Schröder (1 shared paper)
- Journals
- Cellular Microbiology (2 papers)Nucleic Acids Research (2 papers)PLoS Pathogens (2 papers)Toxicology Letters (1 paper)SLAS DISCOVERY (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Patrick Guye
21 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Parasitology 306
- Endocrinology 130
- Virology 101
- Molecular Medicine 55
- Molecular Biology 600
Countries citing papers authored by Patrick Guye
This map shows the geographic impact of Patrick Guye'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 Patrick Guye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Guye more than expected).
Fields of papers citing papers by Patrick Guye
This network shows the impact of papers produced by Patrick Guye. 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 Patrick Guye. The network helps show where Patrick Guye may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Guye, 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 | 2005 | 200 | |
| 2 | 2009 | 168 | |
| 3 | 2014 | 166 | |
| 4 | 2016 | 123 | |
| 5 | 2014 | 116 | |
| 6 | 2006 | 110 | |
| 7 | 2013 | 74 | |
| 8 | 2016 | 70 | |
| 9 | 2011 | 50 | |
| 10 | 2009 | 49 | |
| 11 | 2013 | 37 | |
| 12 | 2009 | 31 | |
| 13 | 2011 | 26 | |
| 14 | 2019 | 24 | |
| 15 | 2016 | 23 | |
| 16 | 2011 | 19 | |
| 17 | [Idiopathic tetany and pseudo-hypoparathyroidism]. | 1952 | 3 |
| 18 | 2014 | 2 | |
| 19 | 2008 | 2 | |
| 20 | 2019 | 1 |
About Patrick Guye
Patrick Guye is a scholar working on Molecular Biology, Parasitology, Immunology, Surgery and Oncology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bartonella species infections research (7 papers), CRISPR and Genetic Engineering (5 papers), Vector-borne infectious diseases (4 papers), Gene Regulatory Network Analysis (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), 3D Printing in Biomedical Research (3 papers), Pluripotent Stem Cells Research (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Parasitology (306 citations), Endocrinology (130 citations), Virology (101 citations), Molecular Medicine (55 citations) and Molecular Biology (600 citations). Patrick Guye has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Christoph Dehio, Ron Weiss, Yinqing Li, Michael C. Schmid, Ralf Schülein, Xavier Duportet, Liliana Wróblewska, Gunnar F. Schröder, Annette C. Vergunst and Ilaria Carena. Their work appears in journals such as Cellular Microbiology, Nucleic Acids Research, PLoS Pathogens, Toxicology Letters and SLAS DISCOVERY.
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.