Roland Diel
- Infectious Diseases top 0.1%
- Tuberculosis Research and Epidemiology 115
- Epidemiology top 0.2%
- Mycobacterium research and diagnosis 63
- Pneumocystis jirovecii pneumonia detection and treatment 35
- Pneumonia and Respiratory Infections 26
- Surgery top 0.5%
- Infectious Diseases and Tuberculosis 46
- Diagnosis and treatment of tuberculosis 16
- Small Animals top 1%
- Molecular Medicine top 5%
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- Immunodeficiency and Autoimmune Disorders 12
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- Cystic Fibrosis Research Advances 8
- Co-authors
- Albert NienhausR. LoddenkemperStefan NiemannKaren Meywald-WalterSabine Rüsch–GerdesChristoph LangeAnja SchablonFelix C. Ringshausen
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (4 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Roland Diel
135 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Infectious Diseases 5.7k
- Epidemiology 5.1k
- Surgery 3.1k
- Small Animals 305
- Molecular Medicine 145
Countries citing papers authored by Roland Diel
This map shows the geographic impact of Roland Diel'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 Roland Diel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland Diel more than expected).
Fields of papers citing papers by Roland Diel
This network shows the impact of papers produced by Roland Diel. 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 Roland Diel. The network helps show where Roland Diel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roland Diel, 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 | 2023 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 38 | |
| 5 | 2020 | 24 | |
| 6 | 2019 | 1 | |
| 7 | 2018 | 111 | |
| 8 | 2017 | 129 | |
| 9 | 2017 | 7 | |
| 10 | 2016 | 25 | |
| 11 | 2013 | 88 | |
| 12 | 2011 | 5 | |
| 13 | 2010 | 203 | |
| 14 | 2008 | 268 | |
| 15 | Aktueller Stand der Tuberkulosediagnostik | 2006 | 17 |
| 16 | 2006 | 12 | |
| 17 | 2006 | 126 | |
| 18 | Evaluation aktueller Impfstrategien gegen Hepatitis A und B | 2005 | 1 |
| 19 | 2005 | 10 | |
| 20 | 2005 | 92 |
About Roland Diel
Roland Diel is a scholar working on Infectious Diseases, Epidemiology and Surgery, having authored 148 papers that have together received 6.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (115 papers), Mycobacterium research and diagnosis (63 papers), Infectious Diseases and Tuberculosis (46 papers), Pneumocystis jirovecii pneumonia detection and treatment (35 papers), Pneumonia and Respiratory Infections (26 papers), Diagnosis and treatment of tuberculosis (16 papers), Immunodeficiency and Autoimmune Disorders (12 papers) and Cystic Fibrosis Research Advances (8 papers). The work is most often cited by research in Infectious Diseases (5.7k citations), Epidemiology (5.1k citations) and Surgery (3.1k citations). Roland Diel has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Albert Nienhaus, R. Loddenkemper, Stefan Niemann, Karen Meywald-Walter, Sabine Rüsch–Gerdes, Christoph Lange, Anja Schablon, Felix C. Ringshausen, Thomas A. Kohl and Elvira Richter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.