Thomas Glück
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Epidemiology top 10%
- Sepsis Diagnosis and Treatment
Papers in ⓘ
-
- Nosocomial Infections in ICU 4
- Co-authors
- Jianming Lü (3 shared papers)David Dreisinger (3 shared papers)Bernd Salzberger (10 shared papers)Gerd Schmitz (3 shared papers)Steven M. Opal (2 shared papers)G. Rothe (2 shared papers)Gerhard Liebisch (2 shared papers)Dieter Fröhlich (3 shared papers)
- Journals
- Infection (4 papers)Hydrometallurgy (3 papers)Intensive Care Medicine (3 papers)Critical Care Medicine (2 papers)iScience (1 paper)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Thomas Glück
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 157
- Infectious Diseases 248
- Epidemiology 386
- Modeling and Simulation 51
- Immunology 223
- Critical Care and Intensive Care Medicine 47
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 269 | |
| 2 | 2013 | 141 | |
| 3 | 2020 | 114 | |
| 4 | 2009 | 112 | |
| 5 | Immune status and risk for infection in patients receiving chronic immunosuppressive therapy. | 2005 | 103 |
| 6 | 2003 | 82 | |
| 7 | 2004 | 57 | |
| 8 | 2016 | 54 | |
| 9 | 2007 | 47 | |
| 10 | 2008 | 46 | |
| 11 | 2005 | 45 | |
| 12 | 2021 | 38 | |
| 13 | 2007 | 34 | |
| 14 | 2000 | 30 | |
| 15 | 2008 | 28 | |
| 16 | 2022 | 25 | |
| 17 | 2005 | 25 | |
| 18 | 2021 | 24 | |
| 19 | 2018 | 23 | |
| 20 | 2005 | 20 |
About Thomas Glück
Thomas Glück is a scholar working on Microbiology, Critical Care and Intensive Care Medicine, Infectious Diseases, Epidemiology and Applied Microbiology and Biotechnology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (7 papers), Immune Response and Inflammation (5 papers), Pneumonia and Respiratory Infections (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Nosocomial Infections in ICU (4 papers), COVID-19 Clinical Research Studies (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Infectious Diseases (248 citations), Epidemiology (386 citations), Modeling and Simulation (51 citations), Immunology (223 citations) and Critical Care and Intensive Care Medicine (47 citations). Thomas Glück has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Jianming Lü, David Dreisinger, Bernd Salzberger, Gerd Schmitz, Steven M. Opal, G. Rothe, Gerhard Liebisch, Dieter Fröhlich, Boris Ehrenstein and Jürgen Schölmerich. Their work appears in journals such as Infection, Hydrometallurgy, Intensive Care Medicine, Critical Care Medicine and iScience.
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.