Imke Schatka

47 papers receiving 880 citations

Peers

Imke Schatka
Comparison fields: 5 of 65
  • Health Informatics 31
  • Radiology, Nuclear Medicine and Imaging 248
  • Epidemiology 201
  • Neurology 87
  • Surgery 231
Replace Francesco Dondi with:
Francesco Dondi Italy
Patrizia Pacini Italy
Maurilio Deandrea Italy
Pei Nie China
Koji Takumi Japan
Megumi Jinguji Japan
Yu‐Hsiang Juan Taiwan
Jared D. Christensen United States
Marie Nicod Lalonde Switzerland
Mohammed M. Chowdhury United Kingdom
Imke Schatka relative to Francesco Dondi Italy Francesco Dondi's profile →
Citations per field
00.5×10×20×32.5×
Francesco Dondi · 1×
Citations per year

Countries citing papers authored by Imke Schatka

Since Specialization
Citations

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

Fields of papers citing papers by Imke Schatka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Imke Schatka, 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 Imke Schatka Line = papers co-authored together Imke Schatka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013107
2 201484
3 201870
4 201669
5 201842
6 202342
7 201941
8 201239
9 201336
10 201736
11 201828
12 202324
13 201522
14 202120
15 201719
16 202218
17 202117
18 202117
19 201615
20 201915

About Imke Schatka

Imke Schatka is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Neurology, having authored 50 papers that have together received 900 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (7 papers), Knee injuries and reconstruction techniques (5 papers), Total Knee Arthroplasty Outcomes (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Medical Imaging Techniques and Applications (4 papers), Neuroblastoma Research and Treatments (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Sarcoidosis and Beryllium Toxicity Research (3 papers). The work is most often cited by research in Health Informatics (31 citations), Radiology, Nuclear Medicine and Imaging (248 citations), Epidemiology (201 citations), Neurology (87 citations) and Surgery (231 citations). Imke Schatka has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Frank Michael Bengel, Clemens Gwinner, Julian M.M. Rogasch, Holger Amthauer, Christian Furth, Tobias Jung, Andreas Weiler, Tim Wollenweber, Thula Cannon Walter-Rittel and Christoph Wetz. Their work appears in journals such as Nuklearmedizin - NuclearMedicine, European Journal of Nuclear Medicine and Molecular Imaging, Cancers, Journal of Nuclear Medicine and EJNMMI Research.

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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