W. Straßburger

1.3k total citations
31 papers, 1.0k citations indexed

About

W. Straßburger is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Spectroscopy. According to data from OpenAlex, W. Straßburger has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Spectroscopy. Recurrent topics in W. Straßburger's work include Receptor Mechanisms and Signaling (6 papers), Protein Structure and Dynamics (5 papers) and Neuropeptides and Animal Physiology (5 papers). W. Straßburger is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Protein Structure and Dynamics (5 papers) and Neuropeptides and Animal Physiology (5 papers). W. Straßburger collaborates with scholars based in Germany, United Kingdom and United States. W. Straßburger's co-authors include Axel Wollmer, Rolf Terlinden, Helmut Buschmann, Péter Krüger, Thomas Christoph, I. D. Glover, Ian J. Tickle, Thomas Tzschentke, T.L. Blundell and Michael Haurand and has published in prestigious journals such as FEBS Letters, Biophysical Journal and Journal of Medicinal Chemistry.

In The Last Decade

W. Straßburger

31 papers receiving 959 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Straßburger Germany 18 493 280 274 165 152 31 1.0k
Rudolf Gottschlich Germany 13 437 0.9× 342 1.2× 238 0.9× 29 0.2× 69 0.5× 19 1.0k
K. Keller Germany 22 772 1.6× 103 0.4× 216 0.8× 92 0.6× 365 2.4× 52 1.3k
J. S. Morley United Kingdom 20 955 1.9× 947 3.4× 252 0.9× 77 0.5× 258 1.7× 57 1.7k
Agnieszka Sulima United States 19 286 0.6× 454 1.6× 133 0.5× 19 0.1× 17 0.1× 71 964
H. Donald Burns United States 18 420 0.9× 430 1.5× 66 0.2× 26 0.2× 56 0.4× 42 1.3k
Alexei Yeliseev United States 21 957 1.9× 271 1.0× 56 0.2× 43 0.3× 116 0.8× 51 1.2k
Michael E. Parsons United Kingdom 26 1.1k 2.2× 350 1.3× 423 1.5× 13 0.1× 361 2.4× 72 2.3k
Wenjiang Zhang Canada 14 368 0.7× 124 0.4× 127 0.5× 18 0.1× 28 0.2× 32 1.1k
J. C. EMMETT United Kingdom 13 551 1.1× 168 0.6× 176 0.6× 10 0.1× 116 0.8× 22 1.4k
Aimee L. Crombie United States 9 427 0.9× 350 1.3× 95 0.3× 26 0.2× 38 0.3× 9 796

Countries citing papers authored by W. Straßburger

Since Specialization
Citations

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

Fields of papers citing papers by W. Straßburger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Straßburger

This figure shows the co-authorship network connecting the top 25 collaborators of W. Straßburger. A scholar is included among the top collaborators of W. Straßburger 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 W. Straßburger. W. Straßburger 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.
Raffa, Robert B., Helmut Buschmann, Thomas Christoph, et al.. (2012). Mechanistic and functional differentiation of tapentadol and tramadol. Expert Opinion on Pharmacotherapy. 13(10). 1437–1449. 113 indexed citations
2.
Christoph, Thomas, et al.. (2007). Tramadol has a Better Potency Ratio Relative to Morphine in Neuropathic than in Nociceptive Pain Models. Drugs in R&D. 8(1). 51–57. 35 indexed citations
3.
Tzschentke, Thomas, Rolf Terlinden, H.‐H. Hennies, et al.. (2006). Tapentadol hydrochloride. Analgesic, Mu-opioid receptor agonist, noradrenaline reuptake inhibitor. Drugs of the Future. 31(12). 1053–1061. 99 indexed citations
4.
Vry, Jean De, Rolf Terlinden, H.‐H. Hennies, et al.. (2006). Tapentadol Hydrochloride. Drugs of the Future. 31(12). 1053–1053. 105 indexed citations
5.
Budd, Keith, Robert B. Raffa, Albert Dahan, et al.. (2005). Buprenorphine – The Unique Opioid Analgesic. 11 indexed citations
6.
Holzgrabe, Ulrike, Ulrich Kuhl, Wolfgang Brandt, et al.. (2002). Diazabicyclononanones, a potent class of kappa opioid analgesics. Il Farmaco. 57(7). 531–534. 8 indexed citations
7.
Wnendt, Stephan, et al.. (1997). A strong thrombin-inhibitory prourokinase derivative with sequence elements from hirudin and the human thrombin receptor. Protein Engineering Design and Selection. 10(2). 169–173. 2 indexed citations
8.
Jacoby, Edgar, Péter Krüger, Michael Engels, et al.. (1994). Modeling of G-Protein Coupled Receptors with Bacteriorhodopsin as a Template. A Novel Approach Based on Interaction Energy Differences. Journal of Receptor Research. 14(3-4). 167–186. 19 indexed citations
9.
Steffens, Gerd, et al.. (1992). High expression vectors for the production of recombinant single-chain urinary plasminogen activator from Escherichia coli. Applied Microbiology and Biotechnology. 36(5). 640–9. 8 indexed citations
10.
Grötzinger, Joachim, et al.. (1991). A model for the C5a receptor and for T its interaction with the ligand. Protein Engineering Design and Selection. 4(7). 767–771. 27 indexed citations
11.
Straßburger, W., et al.. (1988). Interaction of parvalbumin of pike II with calcium and terbium ions. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 952(1). 67–76. 14 indexed citations
12.
Flohé, Leopold, W. Straßburger, & Wolfgang A. Günzler. (1987). Selen in der enzymatischen Katalyse. Chemie in unserer Zeit. 21(2). 44–49. 6 indexed citations
13.
Steffens, Gerd, et al.. (1986). Primary Structure of Cu-Zn Superoxide Dismutase ofBrassica oleracea.Proves Homology with Corresponding Enzymes of Animals, Fungi and Prokaryotes. Biological Chemistry Hoppe-Seyler. 367(2). 1007–1016. 27 indexed citations
14.
Glover, I. D., David J. Barlow, Stephen P. Wood, et al.. (1984). Conformational studies on the pancreatic polypeptide hormone family. European Journal of Biochemistry. 142(2). 379–385. 138 indexed citations
15.
Straßburger, W., et al.. (1984). A solution equivalent of the 2Zn→4Zn transformation of insulin in the crystal. European Journal of Biochemistry. 142(1). 7–14. 38 indexed citations
16.
Leismann, Hans, H.‐D. SCHARF, W. Straßburger, & Axel Wollmer. (1983). Determination of subnanosecond fluorescence decays of chlorobenzene, tryptophan and the benzene-triethylamine exciplex using a nanosecond flashlamp. Journal of Photochemistry. 21(2). 275–280. 23 indexed citations
17.
Straßburger, W., Axel Wollmer, Jim E. Pitts, et al.. (1983). Adaptation of plasminogen activator sequences to known protease structures. FEBS Letters. 157(2). 219–223. 49 indexed citations
18.
Bajaj‐Elliott, Mona, T.L. Blundell, Stephen P. Wood, et al.. (1983). Dogfish insulin. European Journal of Biochemistry. 135(3). 535–542. 43 indexed citations
19.
Jaenicke, Rainer, et al.. (1980). Conformation of a synthetic 34‐residue polypeptide that interacts with nucleic acids. FEBS Letters. 114(1). 161–164. 11 indexed citations
20.
Straßburger, W., et al.. (1979). Calcium binding by troponin-C and homologs is correlated with the position and linear density of “β-turn forming” residues. Journal of Theoretical Biology. 76(3). 297–310. 22 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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