Daniel Fitting
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Hepatocellular Carcinoma Treatment and Prognosis
- Health Informatics top 10%
Papers in
- Oncology 7
- Colorectal Cancer Screening and Detection 6
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- Ultrasound Imaging and Elastography 1
- Co-authors
- Alexander Hann (7 shared papers)Joel Troya (6 shared papers)Stefan Zeuzem (9 shared papers)Frank Puppe (5 shared papers)Adrian Krenzer (5 shared papers)Christoph Sarrazin (3 shared papers)Eva Herrmann (3 shared papers)Wolfram G. Zoller (4 shared papers)
In The Last Decade
Daniel Fitting
15 papers receiving 479 citations
Peers
Comparison fields: 5 of 56
- Hepatology 122
- Health Informatics 17
- Oncology 165
- Radiology, Nuclear Medicine and Imaging 115
- Epidemiology 143
Countries citing papers authored by Daniel Fitting
This map shows the geographic impact of Daniel Fitting'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 Fitting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fitting more than expected).
Fields of papers citing papers by Daniel Fitting
This network shows the impact of papers produced by Daniel Fitting. 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 Fitting. The network helps show where Daniel Fitting may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Fitting, 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 | 2013 | 82 | |
| 2 | 2015 | 75 | |
| 3 | 2023 | 41 | |
| 4 | 2017 | 38 | |
| 5 | 2014 | 38 | |
| 6 | 2021 | 37 | |
| 7 | 2022 | 36 | |
| 8 | 2023 | 35 | |
| 9 | 2019 | 32 | |
| 10 | 2022 | 27 | |
| 11 | 2022 | 23 | |
| 12 | 2022 | 14 | |
| 13 | 2020 | 6 | |
| 14 | 2019 | 2 | |
| 15 | 2013 | 1 | |
| 16 | 2019 | 0 | |
| 17 | 2021 | 0 |
About Daniel Fitting
Daniel Fitting is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 487 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (6 papers), Pleural and Pulmonary Diseases (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Ultrasound Imaging and Elastography (1 paper), Ultrasound and Hyperthermia Applications (1 paper), Atomic and Subatomic Physics Research (1 paper), Optimism, Hope, and Well-being (1 paper) and HIV/AIDS drug development and treatment (1 paper). The work is most often cited by research in Hepatology (122 citations), Health Informatics (17 citations), Oncology (165 citations), Radiology, Nuclear Medicine and Imaging (115 citations) and Epidemiology (143 citations). Daniel Fitting has collaborated with scholars based in Germany, Romania and Italy. Frequent co-authors include Alexander Hann, Joel Troya, Stefan Zeuzem, Frank Puppe, Adrian Krenzer, Christoph Sarrazin, Eva Herrmann, Wolfram G. Zoller, Ludmila Gerber and Joerg Bojunga. Their work appears in journals such as Ultraschall in der Medizin - European Journal of Ultrasound, United European Gastroenterology Journal, International Journal of Colorectal Disease, Journal of Virology and Scandinavian Journal of Gastroenterology.
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.