Jan Baumann
Impact in
- Infectious Diseases top 10%
- Viral Infections and Outbreaks Research
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
- Epidemiology top 10%
- Influenza Virus Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
-
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Douglas S. Conklin (4 shared papers)Christopher J. Sevinsky (1 shared paper)Chae Gyu Park (1 shared paper)Nicholas John Mantis (1 shared paper)Mikhail N Matrosovich (1 shared paper)Pascal Lexmond (1 shared paper)Benjamin Mänz (1 shared paper)Eefje J. A. Schrauwen (1 shared paper)
- Journals
- Molecular Biology of the Cell (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (1 paper)BMC Cancer (1 paper)International Journal of Infectious Diseases (1 paper)Oncotarget (1 paper)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Jan Baumann
17 papers receiving 790 citations
Peers
Comparison fields: 5 of 84
- Infectious Diseases 193
- Epidemiology 253
- Cancer Research 62
- Cell Biology 57
- Modeling and Simulation 13
Countries citing papers authored by Jan Baumann
This map shows the geographic impact of Jan Baumann'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 Jan Baumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Baumann more than expected).
Fields of papers citing papers by Jan Baumann
This network shows the impact of papers produced by Jan Baumann. 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 Jan Baumann. The network helps show where Jan Baumann may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Baumann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 248 | |
| 2 | 2015 | 241 | |
| 3 | 2013 | 72 | |
| 4 | 2010 | 62 | |
| 5 | 2017 | 39 | |
| 6 | 2016 | 38 | |
| 7 | 2017 | 29 | |
| 8 | 2019 | 15 | |
| 9 | 2017 | 13 | |
| 10 | 2018 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2020 | 9 | |
| 13 | 2015 | 6 | |
| 14 | 2020 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2011 | 1 |
About Jan Baumann
Jan Baumann is a scholar working on Infectious Diseases, Cancer Research, Cell Biology, Modeling and Simulation and Emergency Medical Services, having authored 17 papers that have together received 804 indexed citations. Recurring topics across this work include Cellular transport and secretion (3 papers), Cancer, Lipids, and Metabolism (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Disaster Response and Management (2 papers), COVID-19 epidemiological studies (2 papers), Clinical Laboratory Practices and Quality Control (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Infectious Diseases (193 citations), Epidemiology (253 citations), Cancer Research (62 citations), Cell Biology (57 citations) and Modeling and Simulation (13 citations). Jan Baumann has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Douglas S. Conklin, Christopher J. Sevinsky, Chae Gyu Park, Nicholas John Mantis, Mikhail N Matrosovich, Pascal Lexmond, Benjamin Mänz, Eefje J. A. Schrauwen, Martin Linster and Guus Rimmelzwaan. Their work appears in journals such as Molecular Biology of the Cell, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, BMC Cancer, International Journal of Infectious Diseases and Oncotarget.
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.