S. Nitschmann
Impact in
-
- Breast Cancer Treatment Studies
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- HER2/EGFR in Cancer Research
- Global Cancer Incidence and Screening
- Cancer Treatment and Pharmacology
Papers in ⓘ
- Surgery 13
- Lipoproteins and Cardiovascular Health 4
- Co-authors
- Marc Thill (1 shared paper)Roland Klingenberg (1 shared paper)Michael Hallek (6 shared papers)Max Augustin (6 shared papers)H.-C. Diener (1 shared paper)Guido Gerken (1 shared paper)Rieke Alten (2 shared papers)Hans Hauner (2 shared papers)
- Journals
- Der Internist (48 papers)PubMed (2 papers)Die Innere Medizin (5 papers)
- Partner nations
- GermanySwitzerlandAustria
In The Last Decade
S. Nitschmann
41 papers receiving 232 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 83
- Oncology 92
- Family Practice 7
- Applied Microbiology and Biotechnology 4
- Pathology and Forensic Medicine 29
Countries citing papers authored by S. Nitschmann
This map shows the geographic impact of S. Nitschmann'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 S. Nitschmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Nitschmann more than expected).
Fields of papers citing papers by S. Nitschmann
This network shows the impact of papers produced by S. Nitschmann. 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 S. Nitschmann. The network helps show where S. Nitschmann may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Nitschmann, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 148 | |
| 2 | 2020 | 10 | |
| 3 | 2020 | 9 | |
| 4 | 2015 | 5 | |
| 5 | 2020 | 4 | |
| 6 | 2017 | 4 | |
| 7 | 2010 | 4 | |
| 8 | 2017 | 4 | |
| 9 | 2010 | 3 | |
| 10 | 2018 | 3 | |
| 11 | 2010 | 3 | |
| 12 | 2020 | 2 | |
| 13 | 2010 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2009 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2010 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2019 | 2 |
About S. Nitschmann
S. Nitschmann is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Infectious Diseases and Epidemiology, having authored 56 papers that have together received 236 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Diabetes Treatment and Management (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers), COVID-19 Clinical Research Studies (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Cancer Research (83 citations), Oncology (92 citations), Family Practice (7 citations), Applied Microbiology and Biotechnology (4 citations) and Pathology and Forensic Medicine (29 citations). S. Nitschmann has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Marc Thill, Roland Klingenberg, Michael Hallek, Max Augustin, H.-C. Diener, Guido Gerken, Rieke Alten, Hans Hauner, Andreas M. Kaufmann and Lars Christian Rump. Their work appears in journals such as Der Internist, PubMed and Die Innere Medizin.
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.