J.M. Berger
Impact in
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- COVID-19 and healthcare impacts
Papers in
- Oncology 14
- COVID-19 and healthcare impacts 7
- Cancer Immunotherapy and Biomarkers 3
- Pancreatic and Hepatic Oncology Research 3
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- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Ian N. Hines (1 shared paper)Roman Pawlak (1 shared paper)Matthias Preusser (21 shared papers)Anna S. Berghoff (17 shared papers)Angelika M. Starzer (7 shared papers)Wolfgang Lamm (6 shared papers)Robert Straßl (4 shared papers)Selma Tobudic (3 shared papers)
- Journals
- Annals of Oncology (5 papers)ESMO Open (3 papers)JAMA Oncology (2 papers)Research and Practice in Thrombosis and Haemostasis (1 paper)Translational research (1 paper)
- Partner nations
- AustriaItalyUnited States
In The Last Decade
J.M. Berger
23 papers receiving 237 citations
Peers
Comparison fields: 5 of 66
- Infectious Diseases 98
- Oncology 90
- Health 17
- Hematology 19
- Modeling and Simulation 7
Countries citing papers authored by J.M. Berger
This map shows the geographic impact of J.M. Berger'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 J.M. Berger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.M. Berger more than expected).
Fields of papers citing papers by J.M. Berger
This network shows the impact of papers produced by J.M. Berger. 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 J.M. Berger. The network helps show where J.M. Berger may publish in the future.
Co-authors
The 25 scholars most cited alongside J.M. Berger, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 78 | |
| 2 | 2021 | 37 | |
| 3 | 2020 | 28 | |
| 4 | 2020 | 24 | |
| 5 | 2022 | 20 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 1 |
About J.M. Berger
J.M. Berger is a scholar working on Oncology, Infectious Diseases, Pulmonary and Respiratory Medicine, Molecular Biology and Surgery, having authored 28 papers that have together received 239 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), COVID-19 and healthcare impacts (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Intraperitoneal and Appendiceal Malignancies (3 papers), Infection Control and Ventilation (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Infectious Diseases (98 citations), Oncology (90 citations), Health (17 citations), Hematology (19 citations) and Modeling and Simulation (7 citations). J.M. Berger has collaborated with scholars based in Austria, Italy and United States. Frequent co-authors include Ian N. Hines, Roman Pawlak, Matthias Preusser, Anna S. Berghoff, Angelika M. Starzer, Wolfgang Lamm, Robert Straßl, Selma Tobudic, Thorsten Fuereder and Elisabeth Bergen. Their work appears in journals such as Annals of Oncology, ESMO Open, JAMA Oncology, Research and Practice in Thrombosis and Haemostasis and Translational research.
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.