Friedrich-Alexander-Universität Erlangen-Nürnberg

3.0M citations
99.8k papers ·

Impact in

Papers in

Friedrich-Alexander-Universität Erlangen-Nürnberg

88.6k papers receiving 2.7M citations

Peers

Friedrich-Alexander-Universität Erlangen-Nürnberg
Comparison fields: 5 of 252
  • Materials Chemistry 370.8k
  • Immunology 146.0k
  • Renewable Energy, Sustainability and the Environment 107.4k
  • Biomedical Engineering 274.7k
  • Radiology, Nuclear Medicine and Imaging 125.0k
Replace Technical University of Munich with:
Technical University of Munich Germany
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Friedrich-Alexander-Universität Erlangen-Nürnberg relative to Technical University of Munich Germany Technical University of Munich's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing scholars working at Friedrich-Alexander-Universität Erlangen-Nürnberg

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Friedrich-Alexander-Universität Erlangen-Nürnberg. 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 papers produced at Friedrich-Alexander-Universität Erlangen-Nürnberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Friedrich-Alexander-Universität Erlangen-Nürnberg more than expected).

Fields of papers published by authors at Friedrich-Alexander-Universität Erlangen-Nürnberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Friedrich-Alexander-Universität Erlangen-Nürnberg at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Friedrich-Alexander-Universität Erlangen-Nürnberg at the time of their publication.

About Friedrich-Alexander-Universität Erlangen-Nürnberg

In recent decades, authors affiliated with Friedrich-Alexander-Universität Erlangen-Nürnberg have published 99.8k papers, which have received a total of 3.0M indexed citations . Scholars at this organization have produced 4.5k papers in Computational Mechanics, 6.6k papers in Atomic and Molecular Physics, and Optics, 9.8k papers in Materials Chemistry, 4.3k papers in Radiology, Nuclear Medicine and Imaging and 11.7k papers in Electrical and Electronic Engineering on the topics of Advanced Chemical Physics Studies (1.4k papers), Bone Tissue Engineering Materials (1.1k papers), Semiconductor materials and devices (1.1k papers), Organometallic Complex Synthesis and Catalysis (990 papers), Medical Imaging Techniques and Applications (907 papers), Molecular Junctions and Nanostructures (872 papers), Graphene research and applications (836 papers) and Immune Cell Function and Interaction (833 papers). Their work is cited by papers focused on Materials Chemistry (370.8k citations), Immunology (146.0k citations), Renewable Energy, Sustainability and the Environment (107.4k citations), Biomedical Engineering (274.7k citations) and Radiology, Nuclear Medicine and Imaging (125.0k citations). Authors at Friedrich-Alexander-Universität Erlangen-Nürnberg collaborate with scholars in Germany, United States and United Kingdom and have published in prestigious journals including Scientific Reports, Chemistry - A European Journal, PLoS ONE, Angewandte Chemie International Edition and Physical Review Letters. Some of Friedrich-Alexander-Universität Erlangen-Nürnberg's most productive authors include Patrik Schmuki, Aldo R. Boccaccini, Georg Schett, Paul von Ragué Schleyer, Andreas Hirsch, Markus F. Neurath, Timothy Clark, Christian Bogdan, Christoph J. Brabec and Robert Schober.

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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