Norbert Ulbrich

1.5k total citations
88 papers, 1.2k citations indexed

About

Norbert Ulbrich is a scholar working on Statistics, Probability and Uncertainty, Molecular Biology and Civil and Structural Engineering. According to data from OpenAlex, Norbert Ulbrich has authored 88 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics, Probability and Uncertainty, 25 papers in Molecular Biology and 22 papers in Civil and Structural Engineering. Recurrent topics in Norbert Ulbrich's work include Structural Health Monitoring Techniques (21 papers), Probabilistic and Robust Engineering Design (21 papers) and Aerospace and Aviation Technology (16 papers). Norbert Ulbrich is often cited by papers focused on Structural Health Monitoring Techniques (21 papers), Probabilistic and Robust Engineering Design (21 papers) and Aerospace and Aviation Technology (16 papers). Norbert Ulbrich collaborates with scholars based in United States, Germany and China. Norbert Ulbrich's co-authors include Volker A. Erdmann, H Kolkenbrock, Roland K. Hartmann, Dagmar Orgel, Horst Will, Holger Y. Toschka, Bernd Alois Zimmermann, N Mitchison, Juliane K. Franz and Axel Prüß and has published in prestigious journals such as Nucleic Acids Research, FEBS Letters and Annals of the New York Academy of Sciences.

In The Last Decade

Norbert Ulbrich

81 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Norbert Ulbrich United States 19 458 293 199 169 126 88 1.2k
Christian Frey Germany 22 354 0.8× 65 0.2× 462 2.3× 132 0.8× 8 0.1× 106 2.0k
Yang Dai China 27 892 1.9× 557 1.9× 168 0.8× 176 1.0× 21 0.2× 149 2.1k
Carlos J. Suarez United States 25 800 1.7× 405 1.4× 284 1.4× 695 4.1× 26 0.2× 93 2.4k
Yoshiyuki Kanazawa Japan 17 300 0.7× 28 0.1× 217 1.1× 73 0.4× 146 1.2× 31 1.5k
Yoshitaka Wada Japan 17 357 0.8× 74 0.3× 32 0.2× 190 1.1× 25 0.2× 113 1.2k
Katsuo Suzuki Japan 26 761 1.7× 142 0.5× 115 0.6× 285 1.7× 11 0.1× 83 1.7k
Peng Lan China 20 750 1.6× 179 0.6× 78 0.4× 331 2.0× 57 0.5× 87 1.7k
Kisa Matsushima Japan 13 119 0.3× 32 0.1× 293 1.5× 122 0.7× 26 0.2× 62 1.1k
Yao Yu China 23 581 1.3× 81 0.3× 39 0.2× 119 0.7× 42 0.3× 84 1.7k
Yitang Wang United States 16 471 1.0× 57 0.2× 125 0.6× 100 0.6× 9 0.1× 31 1.1k

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-authorship network of co-authors of Norbert Ulbrich

This figure shows the co-authorship network connecting the top 25 collaborators of Norbert Ulbrich. A scholar is included among the top collaborators of Norbert Ulbrich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Norbert Ulbrich. Norbert Ulbrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Ulbrich, Norbert, et al.. (2023). Comparison of Two Load Prediction Methods for Strain-Gage Balances. AIAA SCITECH 2023 Forum.
3.
Stuhlmüller, Bruno, Elke Kunisch, Juliane K. Franz, et al.. (2003). Detection of Oncofetal H19 RNA in Rheumatoid Arthritis Synovial Tissue. American Journal Of Pathology. 163(3). 901–911. 106 indexed citations
4.
Zimmermann, Bernd Alois, et al.. (2002). Effects of lipopolysaccharide extracted from Prevotella intermedia on bone formation and on the release of osteolytic mediators by fetal mouse osteoblasts in vitro. Archives of Oral Biology. 47(12). 859–866. 44 indexed citations
5.
Hu, Ronggui, Bao‐Zhong Wang, Wenfeng Chen, et al.. (2002). Structural studies of an eukaryotic cambialistic superoxide dismutase purified from the mature seeds of camphor tree. Archives of Biochemistry and Biophysics. 404(2). 218–226. 15 indexed citations
6.
Xu, Yong‐Zhen, et al.. (1998). Purification of α-Sarcin and an Antifungal Protein fromAspergillus giganteusby Blue Sepharose CL-6B Affinity Chromatography. Protein Expression and Purification. 14(2). 295–301. 12 indexed citations
7.
Orgel, Dagmar, et al.. (1998). The Cleavage of Pro-Urokinase Type Plasminogen Activator by Stromelysin-1. Clinical Chemistry and Laboratory Medicine (CCLM). 36(9). 697–702. 14 indexed citations
8.
Shono, Tadahisa, Kunihiko Tatsumi, Norbert Ulbrich, et al.. (1998). A new synthetic matrix metalloproteinase inhibitor modulates both angiogenesis and urokinase type plasminogen activator activity. Angiogenesis. 2(4). 319–329. 8 indexed citations
9.
Kolkenbrock, H, et al.. (1997). Activation of Progelatinase A and Progelatinase A/TIMP-2 Complex by Membrane Type 2-Matrix Metalloproteinase. Biological Chemistry. 378(2). 71–6. 47 indexed citations
10.
Kolkenbrock, H, et al.. (1991). The complex between a tissue inhibitor of metalloproteinases (TIMP‐2) and 72‐kDa progelatinase is a metalloproteinase inhibitor. European Journal of Biochemistry. 198(3). 775–781. 93 indexed citations
11.
12.
Hahn, Ulrich, et al.. (1990). Expression of the chemically synthesized coding region for the cytotoxin α‐sarcin in Escherichia coli using a secretion cloning vector. European Journal of Biochemistry. 192(1). 127–131. 12 indexed citations
13.
Wnendt, Stephan, et al.. (1990). Isolation and physical properties of the DNA‐directed RNA polymerase from Thermus thermophilus HB8. European Journal of Biochemistry. 191(2). 467–472. 15 indexed citations
14.
Barciszewska, Mirosława Z., et al.. (1990). New model of tertiary structure of plant 5S rRNA is confirmed by digestions with α‐sarcin. FEBS Letters. 269(1). 83–85. 8 indexed citations
15.
Nakaya, Kazuyasu, et al.. (1990). Amino acid sequence and disulfide bridges of an antifungal protein isolated from Aspergillus giganteus. European Journal of Biochemistry. 193(1). 31–38. 57 indexed citations
16.
Ulbrich, Norbert, et al.. (1989). Structural analysis of prokaryotic and eukaryotic 5S rRNAs by RNase H. Biochimie. 71(11-12). 1185–1191. 3 indexed citations
17.
Toschka, Holger Y., et al.. (1988). Complete nucleotide sequence of a 16S ribosomal RNA gene fromPseudomonas aeruginosa. Nucleic Acids Research. 16(5). 2348–2348. 34 indexed citations
18.
Toschka, Holger Y., Peter Höpfl, Wolfgang Ludwig, et al.. (1987). Complete nucleotide sequence of a 23S ribosomal RNA gene from Pseudomonas aeruginosa. Nucleic Acids Research. 15(17). 7182–7182. 26 indexed citations
19.
Hartmann, Roland K., Norbert Ulbrich, & Volker A. Erdmann. (1987). An unusual rRNA operon constellation: in Thermus thermophilus HB8 the 23S/5S rRNA operon is a separate entity from the 16S rRNA operon. Biochimie. 69(10). 1097–1104. 46 indexed citations
20.
Hartmann, Roland K., et al.. (1985). Expression of plasmid encoded Escherichia coli 5 S ribosomal ribonucleic acid in Pseudomonas putida. FEBS Letters. 188(2). 295–301. 6 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Christian Frey Breakdown of academic impact, for papers by Yang Dai Breakdown of academic impact, for papers by Carlos J. Suarez Breakdown of academic impact, for papers by Yoshiyuki Kanazawa Breakdown of academic impact, for papers by Yoshitaka Wada Breakdown of academic impact, for papers by Katsuo Suzuki Breakdown of academic impact, for papers by Peng Lan Breakdown of academic impact, for papers by Kisa Matsushima Breakdown of academic impact, for papers by Yao Yu Breakdown of academic impact, for papers by Yitang Wang
Rankless by CCL
2026