Bert Klebl
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Immunology top 5%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 5
- Oncology 20
- Cancer-related Molecular Pathways 7
- HER2/EGFR in Cancer Research 5
- Co-authors
- Anil Koul (3 shared papers)Jan Eickhoff (22 shared papers)Axel Ullrich (2 shared papers)Thomas Herget (2 shared papers)Gerhard Müller (6 shared papers)Axel Choidas (14 shared papers)Peter Habenberger (11 shared papers)Giorgio Ferrari (2 shared papers)
- Journals
- Cancer Research (4 papers)ChemMedChem (4 papers)Journal of Medicinal Chemistry (3 papers)European Journal of Medicinal Chemistry (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- GermanyUnited StatesNorway
In The Last Decade
Bert Klebl
71 papers receiving 3.5k citations
Bert Klebl's Hit Papers
Peers
Comparison fields: 5 of 115
- Infectious Diseases 713
- Immunology 692
- Molecular Biology 2.1k
- Epidemiology 657
- Virology 92
Countries citing papers authored by Bert Klebl
This map shows the geographic impact of Bert Klebl'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 Bert Klebl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bert Klebl more than expected).
Fields of papers citing papers by Bert Klebl
This network shows the impact of papers produced by Bert Klebl. 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 Bert Klebl. The network helps show where Bert Klebl may publish in the future.
Co-authors
The 25 scholars most cited alongside Bert Klebl, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gasdermin D plays a vital role in the generation of neutrophil extracellular traps Hit paper breakdown → | 2018 | 600 |
| 2 | 2004 | 476 | |
| 3 | 2004 | 312 | |
| 4 | 2000 | 210 | |
| 5 | 2005 | 207 | |
| 6 | 2012 | 180 | |
| 7 | 2004 | 119 | |
| 8 | 1998 | 114 | |
| 9 | 2013 | 96 | |
| 10 | 2015 | 93 | |
| 11 | 2008 | 93 | |
| 12 | 2008 | 74 | |
| 13 | 2008 | 73 | |
| 14 | 2008 | 64 | |
| 15 | 2014 | 64 | |
| 16 | 2005 | 54 | |
| 17 | 2005 | 48 | |
| 18 | 2008 | 47 | |
| 19 | 2007 | 47 | |
| 20 | 2002 | 46 |
About Bert Klebl
Bert Klebl is a scholar working on Molecular Biology, Oncology, Epidemiology, Infectious Diseases and Immunology, having authored 73 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Cytomegalovirus and herpesvirus research (7 papers), HIV Research and Treatment (6 papers), HER2/EGFR in Cancer Research (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune cells in cancer (4 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Infectious Diseases (713 citations), Immunology (692 citations), Molecular Biology (2.1k citations), Epidemiology (657 citations) and Virology (92 citations). Bert Klebl has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include Anil Koul, Jan Eickhoff, Axel Ullrich, Thomas Herget, Gerhard Müller, Axel Choidas, Peter Habenberger, Giorgio Ferrari, Jean Pieters and Liem Nguyen. Their work appears in journals such as Cancer Research, ChemMedChem, Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry and Journal of Biological Chemistry.
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.