Michael Jahn
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 6
- Surgery 7
- Muscle and Compartmental Disorders 3
- Hemodynamic Monitoring and Therapy 2
- Co-authors
- Andreas Kribben (15 shared papers)Johannes Korth (8 shared papers)Olympia E. Anastasiou (6 shared papers)Benjamin Wilde (6 shared papers)Sebastian Dolff (6 shared papers)Ulf Dittmer (5 shared papers)Oliver Witzke (5 shared papers)Adalbert Krawczyk (3 shared papers)
- Journals
- PLoS ONE (4 papers)Vaccines (3 papers)Journal of Clinical Medicine (2 papers)Clinical Kidney Journal (1 paper)Artificial Organs (1 paper)
- Partner nations
- GermanyIsraelUnited States
In The Last Decade
Michael Jahn
23 papers receiving 561 citations
Peers
Comparison fields: 5 of 70
- Infectious Diseases 425
- Modeling and Simulation 91
- Obstetrics and Gynecology 65
- Health 61
- Animal Science and Zoology 43
Countries citing papers authored by Michael Jahn
This map shows the geographic impact of Michael Jahn'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 Michael Jahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Jahn more than expected).
Fields of papers citing papers by Michael Jahn
This network shows the impact of papers produced by Michael Jahn. 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 Michael Jahn. The network helps show where Michael Jahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Jahn, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 221 | |
| 2 | 2021 | 107 | |
| 3 | 2021 | 68 | |
| 4 | 2021 | 48 | |
| 5 | 2017 | 25 | |
| 6 | 2021 | 21 | |
| 7 | 2019 | 15 | |
| 8 | 2012 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2015 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2008 | 2 | |
| 18 | 1994 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2023 | 1 |
About Michael Jahn
Michael Jahn is a scholar working on Infectious Diseases, Surgery, Epidemiology, Nephrology and Health, having authored 29 papers that have together received 571 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (6 papers), Vaccine Coverage and Hesitancy (4 papers), Sepsis Diagnosis and Treatment (4 papers), Acute Kidney Injury Research (3 papers), Electrolyte and hormonal disorders (3 papers), Muscle and Compartmental Disorders (3 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Infectious Diseases (425 citations), Modeling and Simulation (91 citations), Obstetrics and Gynecology (65 citations), Health (61 citations) and Animal Science and Zoology (43 citations). Michael Jahn has collaborated with scholars based in Germany, Israel and United States. Frequent co-authors include Andreas Kribben, Johannes Korth, Olympia E. Anastasiou, Benjamin Wilde, Sebastian Dolff, Ulf Dittmer, Oliver Witzke, Adalbert Krawczyk, Stefan Eßer and Monika Lindemann. Their work appears in journals such as PLoS ONE, Vaccines, Journal of Clinical Medicine, Clinical Kidney Journal and Artificial Organs.
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.