Patrick Guye
Impact in
- Parasitology top 2%
- Bartonella species infections research
- Endocrinology top 5%
- Escherichia coli research studies
Papers in
-
- Bartonella species infections research 7
-
- Gene Regulatory Network Analysis 4
- Pluripotent Stem Cells Research 2
- Co-authors
- Christoph Dehio (8 shared papers)Ron Weiss (7 shared papers)Yinqing Li (3 shared papers)Thomas A. Rhomberg (3 shared papers)Ralf Schülein (2 shared papers)Michael C. Schmid (2 shared papers)Xavier Duportet (3 shared papers)Liliana Wróblewska (2 shared papers)
- Journals
- Cellular Microbiology (2 papers)PLoS Pathogens (2 papers)Nucleic Acids Research (2 papers)Nature Communications (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Patrick Guye
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 70
- Parasitology 295
- Endocrinology 77
- Molecular Biology 586
- Developmental Neuroscience 21
- Genetics 179
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 | 198 | |
| 2 | 2014 | 187 | |
| 3 | 2009 | 169 | |
| 4 | 2016 | 130 | |
| 5 | 2014 | 129 | |
| 6 | 2006 | 109 | |
| 7 | 2013 | 74 | |
| 8 | 2020 | 73 | |
| 9 | 2011 | 48 | |
| 10 | 2009 | 47 | |
| 11 | 2015 | 40 | |
| 12 | 2013 | 38 | |
| 13 | 2020 | 35 | |
| 14 | 2009 | 30 | |
| 15 | 2014 | 27 | |
| 16 | 2011 | 26 | |
| 17 | 2019 | 24 | |
| 18 | 2011 | 19 | |
| 19 | 2008 | 2 | |
| 20 | 2018 | 1 |
About Patrick Guye
Patrick Guye is a scholar working on Parasitology, Molecular Biology, Pharmacology, Endocrinology and Oncology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bartonella species infections research (7 papers), Gene Regulatory Network Analysis (4 papers), Pluripotent Stem Cells Research (2 papers), Pancreatic function and diabetes (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Pesticide Exposure and Toxicity (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Parasitology (295 citations), Endocrinology (77 citations), Molecular Biology (586 citations), Developmental Neuroscience (21 citations) and Genetics (179 citations). Patrick Guye has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Christoph Dehio, Ron Weiss, Yinqing Li, Thomas A. Rhomberg, Ralf Schülein, Michael C. Schmid, Xavier Duportet, Liliana Wróblewska, Ilaria Carena and Annette Caroline Vergunst. Their work appears in journals such as Cellular Microbiology, PLoS Pathogens, Nucleic Acids Research, Nature Communications and Methods in enzymology on CD-ROM/Methods in enzymology.
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.