Stephan Schleder

42 papers receiving 514 citations

Peers

Stephan Schleder
Comparison fields: 5 of 59
  • Critical Care and Intensive Care Medicine 33
  • Genetics 198
  • Gastroenterology 27
  • Epidemiology 125
  • Hepatology 27
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Bilge Tunç Türkiye
Antony Higginson United Kingdom
Stéphanie Viennot France
Samuel Fernandes Portugal
Rachel Evans United Kingdom
Peter Darwin United States
Steffen Rickes Germany
Jorge Brito Portugal
Serkan Torun Türkiye
Daniel M. Goodenberger United States
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Countries citing papers authored by Stephan Schleder

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Schleder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200983
2 200967
3 201538
4
Identification of early complications following liver transplantation using contrast enhanced ultrasound (CEUS). First results.
201233
5 201127
6 201427
7 201824
8 201222
9 201121
10 201418
11 201217
12 201317
13 201712
14 201311
15 201711
16 201310
17 20138
18 20127
19 20225
20 20175

About Stephan Schleder

Stephan Schleder is a scholar working on Surgery, Genetics, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 46 papers that have together received 526 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (10 papers), MRI in cancer diagnosis (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Head and Neck Cancer Studies (2 papers), Aortic Disease and Treatment Approaches (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Radiology practices and education (2 papers) and Abdominal Trauma and Injuries (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (33 citations), Genetics (198 citations), Gastroenterology (27 citations), Epidemiology (125 citations) and Hepatology (27 citations). Stephan Schleder has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Christian Stroszczynski, A. Schreyer, Gerhard Rogler, Alexandra Wolf, Rocío López, Florian Rieder, Andrea Dirmeier, Frank Klebl, Nir Dotan and Florian Obermeier. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Tomography, Inflammatory Bowel Diseases, PLoS ONE and 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.

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