Norbert Ulbrich

1.5k citations
88 papers · 1.2k · h-index 19

Impact in

Papers in

Norbert Ulbrich

81 papers receiving 1.1k citations

Peers

Norbert Ulbrich
Comparison fields: 5 of 108
  • Cancer Research 293
  • Statistics, Probability and Uncertainty 111
  • Hematology 109
  • Immunology 199
  • Biotechnology 78
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Haining Huang China
Grace Lin United States
Carlos J. Suarez United States
Katsuo Suzuki Japan
Yang Dai China
Cristina Pellegrini Italy
Christian Frey Germany
Kisa Matsushima Japan
T. Zeiler Germany
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Citations per year

Countries citing papers authored by Norbert Ulbrich

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Ulbrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996121
2 2003106
3 199193
4 199057
5 199747
6 198746
7 200244
8 199138
9 198834
10 199930
11 199828
12 198726
13 200522
14 200921
15 198721
16 198620
17 199719
18 199419
19 200619
20 200618

About Norbert Ulbrich

Norbert Ulbrich is a scholar working on Statistics, Probability and Uncertainty, Molecular Biology, Civil and Structural Engineering, Aerospace Engineering and Statistical and Nonlinear Physics, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (21 papers), Structural Health Monitoring Techniques (21 papers), Scientific Research and Discoveries (16 papers), Aerospace and Aviation Technology (16 papers), RNA and protein synthesis mechanisms (15 papers), Bacterial Genetics and Biotechnology (9 papers), Scientific Measurement and Uncertainty Evaluation (8 papers) and Protease and Inhibitor Mechanisms (8 papers). The work is most often cited by research in Cancer Research (293 citations), Statistics, Probability and Uncertainty (111 citations), Hematology (109 citations), Immunology (199 citations) and Biotechnology (78 citations). Norbert Ulbrich has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Volker A. Erdmann, H Kolkenbrock, Roland K. Hartmann, Dagmar Orgel, Horst Will, Holger Y. Toschka, Bernd Alois Zimmermann, N Mitchison, Bruno Stuhlmüller and Gerd R Burmester. Their work appears in journals such as European Journal of Biochemistry, Nucleic Acids Research, FEBS Letters, Biological Chemistry and Clinical Chemistry and Laboratory Medicine (CCLM).

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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