Thomas P. Griener
- Infectious Diseases top 5%
- Molecular Biology
- Endocrinology top 2%
- Epidemiology
- Clinical Biochemistry top 5%
- Co-authors
- Glen D. ArmstrongGeorge L. MulveyDeirdre L. ChurchLorenzo CeruttiStefan EmlerAdrian M. ZelaznyPaola MarcatoPavel I. Kitov
- Topics
- Escherichia coli research studies (11 papers)Bacterial Identification and Susceptibility Testing (8 papers)Viral gastroenteritis research and epidemiology (5 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Thomas P. Griener
23 papers receiving 664 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Infectious Diseases 246
- Molecular Biology 221
- Endocrinology 220
- Epidemiology 102
- Clinical Biochemistry 99
Countries citing papers authored by Thomas P. Griener
This map shows the geographic impact of Thomas P. Griener'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 Thomas P. Griener with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas P. Griener more than expected).
Fields of papers citing papers by Thomas P. Griener
This network shows the impact of papers produced by Thomas P. Griener. 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 Thomas P. Griener. The network helps show where Thomas P. Griener may publish in the future.
Co-authorship network of co-authors of Thomas P. Griener
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas P. Griener. A scholar is included among the top collaborators of Thomas P. Griener 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 Thomas P. Griener. Thomas P. Griener is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 31 | |
| 8 | Performance and Application of 16S rRNA Gene Cycle Sequencing for Routine Identification of Bacteria in the Clinical Microbiology Laboratorybreakdown → | 208 |
| 9 | 9 | |
| 10 | 46 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 11 | |
| 14 | 12 | |
| 15 | 26 | |
| 16 | 9 | |
| 17 | 41 | |
| 18 | 33 | |
| 19 | 41 | |
| 20 | 25 |
About Thomas P. Griener
Thomas P. Griener is a scholar working on Endocrinology, Clinical Biochemistry and Infectious Diseases, having authored 25 papers that have together received 673 indexed citations. Recurring topics across this work include Escherichia coli research studies (11 papers), Bacterial Identification and Susceptibility Testing (8 papers) and Viral gastroenteritis research and epidemiology (5 papers). The work is most often cited by research in Endocrinology (220 citations), Clinical Biochemistry (99 citations) and Infectious Diseases (246 citations). Thomas P. Griener has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Glen D. Armstrong, George L. Mulvey, Deirdre L. Church, Lorenzo Cerutti, Stefan Emler, Adrian M. Zelazny, Paola Marcato, Pavel I. Kitov, Michael S. Donnenberg and Mark R. Gillrie. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biochemistry.
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.