Eva Riedel

542 citations
8 papers · 396 · h-index 6

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Medical Imaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • MRI in cancer diagnosis
    • Radiopharmaceutical Chemistry and Applications

Papers in

Eva Riedel

8 papers receiving 390 citations

Peers

Eva Riedel
Comparison fields: 5 of 49
  • Genetics 280
  • Radiology, Nuclear Medicine and Imaging 286
  • Radiation 34
  • Cancer Research 54
  • Pulmonary and Respiratory Medicine 86
Replace Hans J Kaiser with:
Hans J Kaiser Germany
Ryan S. Youland United States
Thomas Hölzer Switzerland
Bart R. J. van Dijken Netherlands
Timothée Zaragori France
Martin Bulik Czechia
Abass Alavi United States
Lena Vomacka Germany
Ronald Straeter Germany
Yoshie Umemura United States
Eva Riedel relative to Hans J Kaiser Germany Hans J Kaiser's profile →
Citations per field
00.5×1.5×
Hans J Kaiser · 1×
Citations per year

Countries citing papers authored by Eva Riedel

Since Specialization
Citations

This map shows the geographic impact of Eva Riedel'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 Eva Riedel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Riedel more than expected).

Fields of papers citing papers by Eva Riedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Riedel. 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 Eva Riedel. The network helps show where Eva Riedel may publish in the future.

Co-authors

The 25 scholars most cited alongside Eva Riedel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Riedel Line = papers co-authored together Eva Riedel links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2005182
2 2011173
3 200712
4 20117
5 20067
6 20056
7 20085
8 20044

About Eva Riedel

Eva Riedel is a scholar working on Neurology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 396 indexed citations. Recurring topics across this work include Vestibular and auditory disorders (3 papers), Visual perception and processing mechanisms (2 papers), Medical Imaging Techniques and Applications (2 papers), Ophthalmology and Eye Disorders (2 papers), Glioma Diagnosis and Treatment (2 papers), Caveolin-1 and cellular processes (1 paper), Inflammatory Bowel Disease (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Genetics (280 citations), Radiology, Nuclear Medicine and Imaging (286 citations), Radiation (34 citations), Cancer Research (54 citations) and Pulmonary and Respiratory Medicine (86 citations). Eva Riedel has collaborated with scholars based in Germany, Tunisia and France. Frequent co-authors include Anca-Ligia Grosu, M. Molls, Wolfgang Weber, Carsten Nieder, Markus Schwaiger, Hartmut Gumprecht, M. A. Franz, Branislav Jeremić, Hans‐Jürgen Wester and Nicole Wiedenmann. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, NeuroImage, Experimental Neurology, Journal of Neurology and Neuroreport.

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.

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