Thomas Glück
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Epidemiology top 10%
- Sepsis Diagnosis and Treatment
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- Clostridium difficile and Clostridium perfringens research 2
- COVID-19 Clinical Research Studies 1
-
- Sepsis Diagnosis and Treatment 8
- Co-authors
- David Bruce Dreisinger (4 shared papers)Jianming Lü (4 shared papers)Bernd Salzberger (10 shared papers)Gerd Schmitz (3 shared papers)Franz Audebert (4 shared papers)Dieter Fröhlich (3 shared papers)Gregor Rothe (2 shared papers)Steven M. Opal (2 shared papers)
- Journals
- Infection (6 papers)Hydrometallurgy (3 papers)Intensive Care Medicine (3 papers)Critical Care Medicine (2 papers)Clinical Infectious Diseases (1 paper)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Thomas Glück
40 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 103
- Infectious Diseases 284
- Epidemiology 230
- Modeling and Simulation 21
- Hepatology 37
- Immunology 65
Countries citing papers authored by Thomas Glück
This map shows the geographic impact of Thomas Glück'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 Glück with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Glück more than expected).
Fields of papers citing papers by Thomas Glück
This network shows the impact of papers produced by Thomas Glück. 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 Glück. The network helps show where Thomas Glück may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Glück, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 297 | |
| 2 | 2013 | 151 | |
| 3 | Immune status and risk for infection in patients receiving chronic immunosuppressive therapy. | 2005 | 124 |
| 4 | 2009 | 123 | |
| 5 | 2020 | 123 | |
| 6 | 2020 | 122 | |
| 7 | 2003 | 86 | |
| 8 | 2004 | 66 | |
| 9 | 2016 | 60 | |
| 10 | 2008 | 52 | |
| 11 | 2007 | 51 | |
| 12 | 2005 | 50 | |
| 13 | 2021 | 41 | |
| 14 | 2007 | 35 | |
| 15 | 2000 | 33 | |
| 16 | 2022 | 30 | |
| 17 | 2008 | 29 | |
| 18 | 2018 | 27 | |
| 19 | 2021 | 27 | |
| 20 | 2019 | 26 |
About Thomas Glück
Thomas Glück is a scholar working on Infectious Diseases, Epidemiology, Applied Microbiology and Biotechnology, Microbiology and Critical Care and Intensive Care Medicine, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (8 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Electrodeposition and Electroless Coatings (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Antibiotic Use and Resistance (2 papers), Lung Cancer Treatments and Mutations (1 paper), COVID-19 Clinical Research Studies (1 paper) and Heart Rate Variability and Autonomic Control (1 paper). The work is most often cited by research in Infectious Diseases (284 citations), Epidemiology (230 citations), Modeling and Simulation (21 citations), Hepatology (37 citations) and Immunology (65 citations). Thomas Glück has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include David Bruce Dreisinger, Jianming Lü, Bernd Salzberger, Gerd Schmitz, Franz Audebert, Dieter Fröhlich, Gregor Rothe, Steven M. Opal, Gerhard Liebisch and Jürgen Schölmerich. Their work appears in journals such as Infection, Hydrometallurgy, Intensive Care Medicine, Critical Care Medicine and Clinical Infectious Diseases.
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.