Daniel Teschner
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- SARS-CoV-2 and COVID-19 Research
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
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- Antifungal resistance and susceptibility 12
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- Central Venous Catheters and Hemodialysis 8
- Co-authors
- Matthias Theobald (12 shared papers)Markus Philipp Radsak (12 shared papers)Stephan Gehring (2 shared papers)Fred Zepp (1 shared paper)Frank Kowalzik (2 shared papers)Enrico Schalk (12 shared papers)Martin Schmidt‐Hieber (9 shared papers)W. Herr (2 shared papers)
- Journals
- Blood (4 papers)Annals of Hematology (4 papers)Bone Marrow Transplantation (3 papers)Frontiers in Immunology (3 papers)The Lancet (2 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Daniel Teschner
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 70
- Infectious Diseases 467
- Hematology 140
- Immunology 165
- Oncology 150
- Epidemiology 208
Countries citing papers authored by Daniel Teschner
This map shows the geographic impact of Daniel Teschner'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 Daniel Teschner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Teschner more than expected).
Fields of papers citing papers by Daniel Teschner
This network shows the impact of papers produced by Daniel Teschner. 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 Daniel Teschner. The network helps show where Daniel Teschner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Teschner, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 180 | |
| 2 | 2022 | 132 | |
| 3 | 2021 | 102 | |
| 4 | 2018 | 80 | |
| 5 | 2013 | 78 | |
| 6 | 2023 | 60 | |
| 7 | 2020 | 55 | |
| 8 | 2017 | 43 | |
| 9 | 2019 | 40 | |
| 10 | 2019 | 39 | |
| 11 | 2013 | 32 | |
| 12 | 2016 | 32 | |
| 13 | 2017 | 32 | |
| 14 | 2010 | 27 | |
| 15 | 2019 | 26 | |
| 16 | 2011 | 25 | |
| 17 | 2018 | 20 | |
| 18 | 2019 | 20 | |
| 19 | 2019 | 20 | |
| 20 | 2017 | 18 |
About Daniel Teschner
Daniel Teschner is a scholar working on Infectious Diseases, Emergency Medical Services, Immunology, Epidemiology and Oncology, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (12 papers), Central Venous Catheters and Hemodialysis (8 papers), Neutropenia and Cancer Infections (7 papers), Inflammation biomarkers and pathways (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Respiratory viral infections research (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Infectious Diseases (467 citations), Hematology (140 citations), Immunology (165 citations), Oncology (150 citations) and Epidemiology (208 citations). Daniel Teschner has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Matthias Theobald, Markus Philipp Radsak, Stephan Gehring, Fred Zepp, Frank Kowalzik, Enrico Schalk, Martin Schmidt‐Hieber, W. Herr, Christian Sebastian Michel and Georg Maschmeyer. Their work appears in journals such as Blood, Annals of Hematology, Bone Marrow Transplantation, Frontiers in Immunology and The Lancet.
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.