M. Laskowski

14.5k total citations · 1 hit paper
251 papers, 10.8k citations indexed

About

M. Laskowski is a scholar working on Molecular Biology, Computational Theory and Mathematics and Geometry and Topology. According to data from OpenAlex, M. Laskowski has authored 251 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Molecular Biology, 38 papers in Computational Theory and Mathematics and 37 papers in Geometry and Topology. Recurrent topics in M. Laskowski's work include Advanced Topology and Set Theory (35 papers), Biochemical and Structural Characterization (32 papers) and Computability, Logic, AI Algorithms (25 papers). M. Laskowski is often cited by papers focused on Advanced Topology and Set Theory (35 papers), Biochemical and Structural Characterization (32 papers) and Computability, Logic, AI Algorithms (25 papers). M. Laskowski collaborates with scholars based in United States, Canada and Israel. M. Laskowski's co-authors include Ikuma Kato, Theodore T. Herskovits, Lawrence F. Kress, Beatrice Kassell, E. Sulkowski, Wojciech Ardelt, Feng Wu, William R. Finkenstadt, Tomasz Kurecki and David Kowalski and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

M. Laskowski

246 papers receiving 9.4k citations

Hit Papers

Protein Inhibitors of Proteinases 1980 2026 1995 2010 1980 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Laskowski United States 53 7.7k 1.4k 1.1k 1.1k 915 251 10.8k
Michael N.G. James Canada 63 8.8k 1.1× 1.5k 1.1× 1.1k 0.9× 683 0.6× 610 0.7× 229 12.7k
Peter M. Colman Australia 58 11.6k 1.5× 530 0.4× 1.8k 1.6× 789 0.7× 406 0.4× 136 17.2k
Jacob V. Maizel United States 54 9.7k 1.3× 426 0.3× 988 0.9× 3.6k 3.3× 1.4k 1.5× 171 15.4k
E. J. Dodson United Kingdom 4 9.6k 1.2× 914 0.7× 1.1k 1.0× 1.5k 1.4× 788 0.9× 5 13.3k
P. Kraulis Sweden 16 12.1k 1.6× 1.1k 0.8× 1.1k 0.9× 1.5k 1.4× 892 1.0× 18 16.1k
Harry Schachter Canada 59 9.8k 1.3× 1.5k 1.1× 549 0.5× 699 0.6× 530 0.6× 229 11.8k
Francesc Avilés Spain 52 7.1k 0.9× 559 0.4× 2.4k 2.2× 668 0.6× 416 0.5× 266 9.9k
Roy A. Jensen United States 62 8.8k 1.1× 559 0.4× 2.0k 1.8× 2.0k 1.8× 1.9k 2.0× 350 14.2k
Sandra W. Cowan Sweden 14 11.5k 1.5× 668 0.5× 1.1k 1.0× 2.1k 2.0× 646 0.7× 16 15.2k
Arthur M. Lesk United Kingdom 61 13.1k 1.7× 494 0.4× 749 0.7× 1.0k 0.9× 504 0.6× 192 17.1k

Countries citing papers authored by M. Laskowski

Since Specialization
Citations

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

Fields of papers citing papers by M. Laskowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Laskowski

This figure shows the co-authorship network connecting the top 25 collaborators of M. Laskowski. A scholar is included among the top collaborators of M. Laskowski 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 M. Laskowski. M. Laskowski 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.
Laskowski, M. & Christopher Shaw. (2016). Definable choice for a class of weakly o-minimal theories. Archive for Mathematical Logic. 55(5-6). 735–748. 1 indexed citations
2.
Laskowski, M., et al.. (2015). Model companion of ordered theories with an automorphism. Transactions of the American Mathematical Society. 367(10). 6877–6902. 2 indexed citations
3.
Laskowski, M., et al.. (2013). The Schröder-Bernstein property for 𝑎-saturated models. Proceedings of the American Mathematical Society. 142(3). 1013–1023. 2 indexed citations
4.
Qasim, Mohammad, Lixia Wang, Stephen Lu, et al.. (2013). Additivity‐based design of the strongest possible turkey ovomucoid third domain inhibitors for porcine pancreatic elastase (PPE) andStreptomyces griseusprotease B (SGPB). FEBS Letters. 587(18). 3021–3026. 1 indexed citations
5.
Laskowski, M., et al.. (2012). On rational limits of Shelah–Spencer graphs. Journal of Symbolic Logic. 77(2). 580–592. 1 indexed citations
6.
Qasim, Mohammad, Jikui Song, John L. Markley, & M. Laskowski. (2010). Cleavage of peptide bonds bearing ionizable amino acids at P1 by serine proteases with hydrophobic S1 pocket. Biochemical and Biophysical Research Communications. 400(4). 507–510. 3 indexed citations
7.
Qasim, Mohammad, et al.. (2007). Structural Insights into the Non-additivity Effects in the Sequence-to-Reactivity Algorithm for Serine Peptidases and their Inhibitors. Journal of Molecular Biology. 367(2). 527–546. 10 indexed citations
8.
Laskowski, M., et al.. (2005). The Role of Scaffolding in Standard Mechanism Serine Proteinase Inhibitors. Protein and Peptide Letters. 12(5). 465–471. 10 indexed citations
9.
Maynes, Jason T., M.M. Cherney, M.A. Qasim, M. Laskowski, & Michael N.G. James. (2005). Structure of the subtilisin Carlsberg–OMTKY3 complex reveals two different ovomucoid conformations. Acta Crystallographica Section D Biological Crystallography. 61(5). 580–588. 20 indexed citations
10.
Suzuki, Noriko, M. Laskowski, & Yuan C. Lee. (2005). Tracing the history of Galα1–4Gal on glycoproteins in modern birds. Biochimica et Biophysica Acta (BBA) - General Subjects. 1760(4). 538–546. 18 indexed citations
11.
Yi, Zhengping, et al.. (2004). Analysis of sequence–reactivity space for protein–protein interactions. Proteins Structure Function and Bioinformatics. 58(3). 661–671. 8 indexed citations
12.
Laskowski, M. & Anand Pillay. (2004). Uncountable categoricity for gross models. Proceedings of the American Mathematical Society. 132(9). 2733–2742. 1 indexed citations
13.
Гончаров, С. С., et al.. (2003). Trivial, strongly minimal theories are model complete after naming constants. Proceedings of the American Mathematical Society. 131(12). 3901–3912. 13 indexed citations
14.
Laskowski, M., M.A. Qasim, & Zhengping Yi. (2003). Additivity-based prediction of equilibrium constants for some protein–protein associations. Current Opinion in Structural Biology. 13(1). 130–139. 19 indexed citations
16.
Ardelt, Wojciech & M. Laskowski. (1991). Effect of single amino acid replacements on the thermodynamics of the reactive site peptide bond hydrolysis in ovomucoid third domain. Journal of Molecular Biology. 220(4). 1041–1053. 44 indexed citations
17.
Laskowski, M., Izydor Apostoł, Wojciech Ardelt, et al.. (1990). Amino acid sequences of ovomucoid third domain from 25 additional species of birds. Journal of Protein Chemistry. 9(6). 715–725. 34 indexed citations
18.
Laskowski, M.. (1982). Nucleases: Historical Perspectives. Cold Spring Harbor Monograph Archive. 14. 1–21. 5 indexed citations
19.
Laskowski, M.. (1980). [35] Purification and properties of venom phosphodiesterase. Methods in enzymology on CD-ROM/Methods in enzymology. 65(1). 276–284. 27 indexed citations
20.
Laskowski, M.. (1980). [34] Purification and properties of the mung bean nuclease. Methods in enzymology on CD-ROM/Methods in enzymology. 65(1). 263–276. 44 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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