Eckhard Fiedler
- Dermatology top 2%
- Oncology top 10%
- Cutaneous Melanoma Detection and Management 4
- Genetics top 10%
- Glioma Diagnosis and Treatment 4
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- Medical Imaging Techniques and Applications 6
- MRI in cancer diagnosis 5
- Radiomics and Machine Learning in Medical Imaging 3
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- Meningioma and schwannoma management 5
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- Melanoma and MAPK Pathways 4
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- Brain Metastases and Treatment 2
- Co-authors
- Alexey SurovPeter HelmboldWolfgang Ch. MarschAndreas WienkeRolf Peter SpielmannWolfgang Christian MarschJohannes WohlrabMaximilian von Laffert
- Cited by
- DermatologyOncologyGenetics
- Journals
- Molecular Imaging and Biology (2 papers)Nuklearmedizin - NuclearMedicine (2 papers)Acta Dermato Venereologica (2 papers)
- Partner nations
- GermanySouth KoreaAustria
In The Last Decade
Eckhard Fiedler
36 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 71
- Dermatology 257
- Oncology 332
- Genetics 127
- Radiology, Nuclear Medicine and Imaging 205
- Epidemiology 246
Countries citing papers authored by Eckhard Fiedler
This map shows the geographic impact of Eckhard Fiedler'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 Eckhard Fiedler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eckhard Fiedler more than expected).
Fields of papers citing papers by Eckhard Fiedler
This network shows the impact of papers produced by Eckhard Fiedler. 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 Eckhard Fiedler. The network helps show where Eckhard Fiedler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eckhard Fiedler, 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 | 2018 | 6 | |
| 2 | 2017 | 17 | |
| 3 | 2017 | 19 | |
| 4 | 2017 | 72 | |
| 5 | 2016 | 22 | |
| 6 | 2016 | 31 | |
| 7 | 2015 | 13 | |
| 8 | 2011 | 112 | |
| 9 | 2011 | 21 | |
| 10 | 2011 | 13 | |
| 11 | 2010 | 20 | |
| 12 | 2009 | 152 | |
| 13 | 2009 | 0 | |
| 14 | 2007 | 37 | |
| 15 | 2006 | 6 | |
| 16 | 2005 | 1 | |
| 17 | 2004 | 36 | |
| 18 | 2004 | 4 | |
| 19 | 1999 | 1 | |
| 20 | America in close-up | 1990 | 1 |
About Eckhard Fiedler
Eckhard Fiedler is a scholar working on Dermatology, Genetics, Radiology, Nuclear Medicine and Imaging, Oncology and Geriatrics and Gerontology, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), MRI in cancer diagnosis (5 papers), Meningioma and schwannoma management (5 papers), Glioma Diagnosis and Treatment (4 papers), Melanoma and MAPK Pathways (4 papers), Cutaneous Melanoma Detection and Management (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Dermatology (257 citations), Oncology (332 citations), Genetics (127 citations), Radiology, Nuclear Medicine and Imaging (205 citations) and Epidemiology (246 citations). Eckhard Fiedler has collaborated with scholars based in Germany, South Korea and Austria. Frequent co-authors include Alexey Surov, Peter Helmbold, Wolfgang Ch. Marsch, Andreas Wienke, Rolf Peter Spielmann, Wolfgang Christian Marsch, Johannes Wohlrab, Maximilian von Laffert, Volker Stadie and Barbara Seliger. Their work appears in journals such as Molecular Imaging and Biology, Nuklearmedizin - NuclearMedicine, Acta Dermato Venereologica, Clinical Cancer Research and Journal of Cutaneous Pathology.
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.