Maxim Rossmann

1.3k total citations
19 papers, 953 citations indexed

About

Maxim Rossmann is a scholar working on Molecular Biology, Organic Chemistry and Cell Biology. According to data from OpenAlex, Maxim Rossmann has authored 19 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Organic Chemistry and 4 papers in Cell Biology. Recurrent topics in Maxim Rossmann's work include Click Chemistry and Applications (4 papers), Chemical Synthesis and Analysis (4 papers) and Microtubule and mitosis dynamics (4 papers). Maxim Rossmann is often cited by papers focused on Click Chemistry and Applications (4 papers), Chemical Synthesis and Analysis (4 papers) and Microtubule and mitosis dynamics (4 papers). Maxim Rossmann collaborates with scholars based in United Kingdom, United States and Singapore. Maxim Rossmann's co-authors include Marko Hyvönen, David R. Spring, Ingo H. Greger, Ashok R. Venkitaraman, Yu Heng Lau, Madhav Sukumaran, Peterson de Andrade, Chandra Verma, Gerhard W. Fischer and Grahame J. McKenzie and has published in prestigious journals such as Science, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Maxim Rossmann

19 papers receiving 945 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxim Rossmann United Kingdom 15 732 245 230 112 101 19 953
Mark R. Spaller United States 22 909 1.2× 264 1.1× 323 1.4× 218 1.9× 58 0.6× 43 1.4k
Brendan Kelly Ireland 16 591 0.8× 182 0.7× 211 0.9× 53 0.5× 82 0.8× 25 875
Greg J. Reinhart United States 17 878 1.2× 207 0.8× 330 1.4× 80 0.7× 93 0.9× 29 1.3k
John Janetzko United States 13 940 1.3× 405 1.7× 208 0.9× 49 0.4× 76 0.8× 19 1.1k
Sascha Hoogendoorn Netherlands 15 474 0.6× 243 1.0× 90 0.4× 96 0.9× 76 0.8× 32 796
Janina Baraniak Poland 19 979 1.3× 332 1.4× 157 0.7× 81 0.7× 29 0.3× 56 1.4k
Aleksandra Baranczak United States 12 525 0.7× 300 1.2× 67 0.3× 78 0.7× 46 0.5× 18 774
Nathalie George Switzerland 7 545 0.7× 212 0.9× 123 0.5× 133 1.2× 208 2.1× 8 777
Shixin Ye France 16 859 1.2× 167 0.7× 342 1.5× 47 0.4× 132 1.3× 36 1.1k
Kwei‐Lan Tsao United States 14 368 0.5× 220 0.9× 120 0.5× 79 0.7× 60 0.6× 22 644

Countries citing papers authored by Maxim Rossmann

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Rossmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Rossmann

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Rossmann. A scholar is included among the top collaborators of Maxim Rossmann 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 Maxim Rossmann. Maxim Rossmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Sharma, Rita, Robert Mahen, Maxim Rossmann, et al.. (2019). A cryptic hydrophobic pocket in the polo-box domain of the polo-like kinase PLK1 regulates substrate recognition and mitotic chromosome segregation. Scientific Reports. 9(1). 15930–15930. 19 indexed citations
2.
Iegre, Jessica, P. Brear, Claudia De Fusco, et al.. (2018). Second-generation CK2α inhibitors targeting the αD pocket. Chemical Science. 9(11). 3041–3049. 33 indexed citations
3.
Cole, Daniel J., M. Janecek, Maxim Rossmann, et al.. (2017). Computationally-guided optimization of small-molecule inhibitors of the Aurora A kinase–TPX2 protein–protein interaction. Chemical Communications. 53(67). 9372–9375. 12 indexed citations
4.
Rossmann, Maxim, et al.. (2017). Development of a multipurpose scaffold for the display of peptide loops. Protein Engineering Design and Selection. 30(6). 419–430. 11 indexed citations
5.
Rossmann, Maxim, et al.. (2016). Distinguishing Malignant from Benign Prostate Tumors using Br, Fe, Rb, Sr, and Zn Content in Prostatic Tissue. 1(1). 4 indexed citations
6.
Wu, Yuteng, Yu Heng Lau, Maxim Rossmann, et al.. (2016). Development of a Multifunctional Benzophenone Linker for Peptide Stapling and Photoaffinity Labelling. ChemBioChem. 17(8). 689–692. 26 indexed citations
7.
Janecek, M., Maxim Rossmann, Pooja Sharma, et al.. (2016). Allosteric modulation of AURKA kinase activity by a small-molecule inhibitor of its protein-protein interaction with TPX2. Scientific Reports. 6(1). 28528–28528. 65 indexed citations
8.
Zaichick, Vladimir, Sofia Zaichick, & Maxim Rossmann. (2016). Intracellular calcium excess as one of the main factors in the etiology of prostate cancer. SHILAP Revista de lepidopterología. 3(4). 635–647. 29 indexed citations
9.
Elegheert, Jonathan, Wataru Kakegawa, Natalie F. Shanks, et al.. (2016). Structural basis for integration of GluD receptors within synaptic organizer complexes. Science. 353(6296). 295–299. 109 indexed citations
11.
Lau, Yu Heng, Yuteng Wu, Maxim Rossmann, et al.. (2015). Double Strain‐Promoted Macrocyclization for the Rapid Selection of Cell‐Active Stapled Peptides. Angewandte Chemie International Edition. 54(51). 15410–15413. 106 indexed citations
12.
Fischer, Gerhard W., Maxim Rossmann, & Marko Hyvönen. (2015). Alternative modulation of protein–protein interactions by small molecules. Current Opinion in Biotechnology. 35. 78–85. 64 indexed citations
13.
Lau, Yu Heng, Yuteng Wu, Maxim Rossmann, et al.. (2015). Double Strain‐Promoted Macrocyclization for the Rapid Selection of Cell‐Active Stapled Peptides. Angewandte Chemie. 127(51). 15630–15633. 25 indexed citations
14.
Lau, Yu Heng, Peterson de Andrade, Maxim Rossmann, et al.. (2014). Functionalised staple linkages for modulating the cellular activity of stapled peptides. Chemical Science. 5(5). 1804–1809. 170 indexed citations
15.
Sukumaran, Madhav, Maxim Rossmann, Indira H. Shrivastava, et al.. (2011). Dynamics and allosteric potential of the AMPA receptor N‐terminal domain. The EMBO Journal. 30(5). 972–982. 53 indexed citations
16.
Rossmann, Maxim, et al.. (2011). Structural Investigation of PsbO from Plant and Cyanobacterial Photosystem II. Journal of Molecular Biology. 407(1). 125–137. 16 indexed citations
17.
Rossmann, Maxim, Madhav Sukumaran, Andrew C. Penn, et al.. (2011). Subunit‐selective N‐terminal domain associations organize the formation of AMPA receptor heteromers. The EMBO Journal. 30(5). 959–971. 92 indexed citations
18.
Rossmann, Maxim, Robert Schultz‐Heienbrok, Joachim Behlke, et al.. (2008). Crystal Structures of Human Saposins C and D: Implications for Lipid Recognition and Membrane Interactions. Structure. 16(5). 809–817. 78 indexed citations
19.
Rossmann, Maxim, Maria Teresa Fiorillo, Fabiana Paladini, et al.. (2008). Citrullination-dependent Differential Presentation of a Self-peptide by HLA-B27 Subtypes. Journal of Biological Chemistry. 283(40). 27189–27199. 28 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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