Burkhardt Dahlmann

5.6k total citations
111 papers, 4.7k citations indexed

About

Burkhardt Dahlmann is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Burkhardt Dahlmann has authored 111 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 42 papers in Cell Biology and 41 papers in Oncology. Recurrent topics in Burkhardt Dahlmann's work include Ubiquitin and proteasome pathways (53 papers), Peptidase Inhibition and Analysis (40 papers) and Glycosylation and Glycoproteins Research (16 papers). Burkhardt Dahlmann is often cited by papers focused on Ubiquitin and proteasome pathways (53 papers), Peptidase Inhibition and Analysis (40 papers) and Glycosylation and Glycoproteins Research (16 papers). Burkhardt Dahlmann collaborates with scholars based in Germany, United States and United Kingdom. Burkhardt Dahlmann's co-authors include Lothar Kuehn, H. Reinauer, F. Köpp, Wolfgang Baumeister, M Rutschmann, Stephan Urs Sixt, R. Hegerl, Peter Zwickl, Klavs B. Hendil and Peter‐M. Kloetzel and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Burkhardt Dahlmann

110 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Burkhardt Dahlmann Germany 39 4.0k 1.4k 1.4k 704 615 111 4.7k
Arthur L. Haas United States 45 5.8k 1.5× 2.0k 1.4× 1.2k 0.8× 1.1k 1.5× 1.7k 2.7× 98 7.5k
Sibylle Mittnacht United Kingdom 33 3.1k 0.8× 3.2k 2.3× 824 0.6× 789 1.1× 690 1.1× 71 5.2k
Naomi Kitamura Japan 44 4.0k 1.0× 1.0k 0.7× 1.3k 0.9× 951 1.4× 586 1.0× 111 7.7k
Klavs B. Hendil Denmark 36 3.2k 0.8× 940 0.7× 1.4k 1.0× 820 1.2× 564 0.9× 57 4.0k
Rohan T. Baker Australia 33 4.3k 1.1× 1.4k 1.0× 1.1k 0.8× 608 0.9× 1.1k 1.7× 67 5.6k
John P. McGrath United States 22 4.5k 1.1× 2.3k 1.6× 681 0.5× 364 0.5× 501 0.8× 41 6.3k
Inger Helene Madshus Norway 34 2.8k 0.7× 845 0.6× 1.4k 1.0× 254 0.4× 729 1.2× 67 4.3k
Claudio Schneider Italy 43 4.4k 1.1× 1.2k 0.8× 826 0.6× 597 0.8× 1.4k 2.3× 79 6.4k
Mary Ann Sells United States 26 3.4k 0.8× 863 0.6× 1.4k 1.0× 1.4k 1.9× 635 1.0× 32 5.3k
Jenő Gyuris United States 23 4.0k 1.0× 1.7k 1.2× 836 0.6× 209 0.3× 462 0.8× 56 5.5k

Countries citing papers authored by Burkhardt Dahlmann

Since Specialization
Citations

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

Fields of papers citing papers by Burkhardt Dahlmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Burkhardt Dahlmann

This figure shows the co-authorship network connecting the top 25 collaborators of Burkhardt Dahlmann. A scholar is included among the top collaborators of Burkhardt Dahlmann 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 Burkhardt Dahlmann. Burkhardt Dahlmann 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.
Vosyka, Oliver, Shinji Takenaka, Alexander Kloß, et al.. (2015). Regulation of Immunoproteasome Function in the Lung. Scientific Reports. 5(1). 10230–10230. 49 indexed citations
2.
Sixt, Stephan Urs, Ulrich Costabel, Francesco Bonella, et al.. (2014). Alveolar and intraparenchymal proteasome in sarcoidosis. Respiratory Medicine. 108(10). 1534–1541. 6 indexed citations
3.
Kloß, Alexander, Sabrina Gohlke, Michele Mishto, et al.. (2013). Poly-Ub-Substrate-Degradative Activity of 26S Proteasome Is Not Impaired in the Aging Rat Brain. PLoS ONE. 8(5). e64042–e64042. 25 indexed citations
4.
Schmidt, Frank, Burkhardt Dahlmann, Christian Koehler, et al.. (2010). Quantitative proteome analysis of the 20S proteasome of apoptotic Jurkat T cells. Amino Acids. 41(2). 351–361. 16 indexed citations
5.
Sixt, Stephan Urs, Michael Adamzik, Jeremias Wohlschlaeger, et al.. (2009). Alveolar Extracellular 20S Proteasome in Patients with Acute Respiratory Distress Syndrome. American Journal of Respiratory and Critical Care Medicine. 179(12). 1098–1106. 36 indexed citations
6.
Dahlmann, Burkhardt. (2005). Proteasomes. Essays in Biochemistry. 41(1). 31–31. 19 indexed citations
7.
Kuehn, Lothar, et al.. (2003). Alteration of 20S proteasome-subtypes and proteasome activator PA28 in skeletal muscle of rat after induction of diabetes mellitus. The International Journal of Biochemistry & Cell Biology. 35(5). 740–748. 28 indexed citations
8.
Dahlmann, Burkhardt, Thomas Ruppert, Peter M. Kloetzel, & Lothar Kuehn. (2001). Subtypes of 20S proteasomes from skeletal muscle. Biochimie. 83(3-4). 295–299. 63 indexed citations
9.
Braun, Beate C., Michael H. Glickman, Regine Kraft, et al.. (1999). The base of the proteasome regulatory particle exhibits chaperone-like activity. Nature Cell Biology. 1(4). 221–226. 372 indexed citations
10.
Köpp, F., et al.. (1995). The human proteasome subunit HsN3 is located inthe inner rings of the complex dimer. Journal of Molecular Biology. 248(2). 264–272. 44 indexed citations
11.
Dahlmann, Burkhardt & Lothar Kuehn. (1995). The 20S/26S proteasomal pathway of protein degradation in muscle tissue. Molecular Biology Reports. 21(1). 57–62. 15 indexed citations
13.
Kuehn, Lothar, Burkhardt Dahlmann, & H. Reinauer. (1992). Evidence indicating that the multicatalytic proteinase of rabbit reticulocytes is not incorporated as a core enzyme into a 26 S proteinase complex. Archives of Biochemistry and Biophysics. 295(1). 55–60. 10 indexed citations
14.
Dahlmann, Burkhardt, et al.. (1992). Biochemical properties of the proteasome from Thermoplasma acidophilum. European Journal of Biochemistry. 208(3). 789–797. 65 indexed citations
15.
Dahlmann, Burkhardt, et al.. (1992). Localization of a sequence motif complementary to the nuclear localization signal in proteasomes from Thermoplasma acidophilum by immunoelectron microscopy. Journal of Structural Biology. 109(2). 168–175. 6 indexed citations
16.
Zwickl, Peter, F. Lottspeich, Burkhardt Dahlmann, & Wolfgang Baumeister. (1991). Cloning and sequencing of the gene encoding the large (α‐) subunit of the proteasome from Thermoplasma acidophilum. FEBS Letters. 278(2). 217–221. 68 indexed citations
17.
Fritz, Valerie, et al.. (1990). Extracellular matrix changes following blunt trauma to rat skeletal muscles. Experimental and Molecular Pathology. 52(1). 69–86. 18 indexed citations
18.
Dahlmann, Burkhardt, F. Köpp, Lothar Kuehn, et al.. (1989). The multicatalytic proteinase (prosome) is ubiquitous from eukaryotes to archaebacteria. FEBS Letters. 251(1-2). 125–131. 242 indexed citations
19.
Heath, R. L., et al.. (1987). Immunochemical characterisation of the myofibrillar proteinase from cultured rat myocytes as chymase.. PubMed. 14(4). 675–83. 1 indexed citations
20.
Rutschmann, M, Lothar Kuehn, Burkhardt Dahlmann, & H. Reinauer. (1982). High resolution gel chromatography of proteins. Analytical Biochemistry. 124(1). 134–138. 7 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.

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