Christian Sauer

3.0k citations
77 papers · 2.5k · h-index 21

Impact in

Papers in

Christian Sauer

73 papers receiving 2.4k citations

Peers

Christian Sauer
Comparison fields: 5 of 141
  • Ophthalmology 265
  • Health Information Management 127
  • Cellular and Molecular Neuroscience 333
  • Molecular Biology 1.2k
  • Oncology 312
Replace Jason Hipp with:
Jason Hipp United States
Panagiotis I. Sergouniotis United Kingdom
David F. Steiner United States
Lola Blackwell Chambless United States
Leo A. Kim United States
Roger James United Kingdom
Tudor Groza Australia
Rosa E. Blanco Spain
Atsushi Kanai Japan
Nicolas Jay France
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Citations per field
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Citations per year

Countries citing papers authored by Christian Sauer

Since Specialization
Citations

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

Fields of papers citing papers by Christian Sauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998426
2 1997409
3 2009257
4 2001184
5 1999123
6 1997121
7 201085
8 200273
9 201063
10 201759
11 200557
12 200551
13 201048
14 200539
15 200137
16 199931
17 201231
18 200228
19 199725
20 201425

About Christian Sauer

Christian Sauer is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Oncology, Ophthalmology and Information Systems, having authored 77 papers that have together received 2.5k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (13 papers), Semantic Web and Ontologies (11 papers), Retinal Development and Disorders (8 papers), Retinal Diseases and Treatments (4 papers), Advanced Software Engineering Methodologies (4 papers), Myasthenia Gravis and Thymoma (4 papers), Prostate Cancer Treatment and Research (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Ophthalmology (265 citations), Health Information Management (127 citations), Cellular and Molecular Neuroscience (333 citations), Molecular Biology (1.2k citations) and Oncology (312 citations). Christian Sauer has collaborated with scholars based in Germany, United Kingdom and Finland. Frequent co-authors include Bernhard H. F. Weber, Birgit Lorenz, Andrea Gehrig, Andreas Marquardt, Bernhard Jurklies, Alice Gibson, Cecil C. Ewing, Gray Southon, C. N. G. Dampney and Robert S. Molday. Their work appears in journals such as Histopathology, American Journal Of Pathology, Nature Genetics, Minerals Engineering and European Journal of Human Genetics.

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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