Jonathan K. Lassila

1.4k total citations
15 papers, 1.1k citations indexed

About

Jonathan K. Lassila is a scholar working on Molecular Biology, Materials Chemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jonathan K. Lassila has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Materials Chemistry and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jonathan K. Lassila's work include Enzyme Structure and Function (8 papers), Protein Structure and Dynamics (7 papers) and Enzyme Catalysis and Immobilization (4 papers). Jonathan K. Lassila is often cited by papers focused on Enzyme Structure and Function (8 papers), Protein Structure and Dynamics (7 papers) and Enzyme Catalysis and Immobilization (4 papers). Jonathan K. Lassila collaborates with scholars based in United States, Switzerland and Russia. Jonathan K. Lassila's co-authors include Daniel Herschlag, Jesse G. Zalatan, Stephen L. Mayo, David Baker, Heidi K. Privett, Benjamin D. Allen, James N. Kinney, Susan L. Bernstein, Cheryl A. Kerfeld and Seth D. Axen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annual Review of Biochemistry and Journal of Molecular Biology.

In The Last Decade

Jonathan K. Lassila

15 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
Jonathan K. Lassila United States 14 910 360 164 105 81 15 1.1k
Pradeep S. Pallan United States 28 1.8k 2.0× 122 0.3× 164 1.0× 87 0.8× 110 1.4× 70 2.1k
Dariusz Martynowski Poland 12 489 0.5× 179 0.5× 161 1.0× 21 0.2× 83 1.0× 27 1.0k
M. Chiadmi France 14 844 0.9× 290 0.8× 103 0.6× 16 0.2× 35 0.4× 20 1.0k
Laura Riccardi Italy 20 581 0.6× 301 0.8× 118 0.7× 15 0.1× 20 0.2× 30 876
Leif Nørskov‐Lauritsen Denmark 12 443 0.5× 70 0.2× 177 1.1× 70 0.7× 58 0.7× 19 744
Martin Norin Sweden 12 855 0.9× 63 0.2× 92 0.6× 108 1.0× 78 1.0× 29 1.0k
Anna Giartosio Italy 17 810 0.9× 250 0.7× 86 0.5× 14 0.1× 30 0.4× 35 1.1k
Roberto A. Chica Canada 20 1.2k 1.3× 334 0.9× 124 0.8× 8 0.1× 69 0.9× 42 1.5k
Gaspar Pinto Czechia 16 727 0.8× 171 0.5× 113 0.7× 12 0.1× 38 0.5× 25 953
Alexandre Barrozo Sweden 15 335 0.4× 152 0.4× 93 0.6× 20 0.2× 29 0.4× 23 721

Countries citing papers authored by Jonathan K. Lassila

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan K. Lassila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan K. Lassila. 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 Jonathan K. Lassila. The network helps show where Jonathan K. Lassila may publish in the future.

Co-authorship network of co-authors of Jonathan K. Lassila

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

All Works

15 of 15 papers shown
1.
Lassila, Jonathan K., Susan L. Bernstein, James N. Kinney, Seth D. Axen, & Cheryl A. Kerfeld. (2014). Assembly of Robust Bacterial Microcompartment Shells Using Building Blocks from an Organelle of Unknown Function. Journal of Molecular Biology. 426(11). 2217–2228. 94 indexed citations
2.
Schwans, Jason P., Fanny Sunden, Jonathan K. Lassila, et al.. (2013). Use of anion–aromatic interactions to position the general base in the ketosteroid isomerase active site. Proceedings of the National Academy of Sciences. 110(28). 11308–11313. 54 indexed citations
3.
Althoff, Eric A., Ling Wang, Lin Jiang, et al.. (2012). Robust design and optimization of retroaldol enzymes. Protein Science. 21(5). 717–726. 137 indexed citations
4.
Lassila, Jonathan K., Timothy D. Fenn, Keith O. Hodgson, et al.. (2011). High-Resolution Analysis of Zn2+ Coordination in the Alkaline Phosphatase Superfamily by EXAFS and X-ray Crystallography. Journal of Molecular Biology. 415(1). 102–117. 54 indexed citations
5.
Wang, Ling, Eric A. Althoff, Jill M. Bolduc, et al.. (2011). Structural Analyses of Covalent Enzyme–Substrate Analog Complexes Reveal Strengths and Limitations of De Novo Enzyme Design. Journal of Molecular Biology. 415(3). 615–625. 53 indexed citations
6.
Lassila, Jonathan K., Jesse G. Zalatan, & Daniel Herschlag. (2011). Biological Phosphoryl-Transfer Reactions: Understanding Mechanism and Catalysis. Annual Review of Biochemistry. 80(1). 669–702. 317 indexed citations
7.
Lassila, Jonathan K., David Baker, & Daniel Herschlag. (2010). Origins of catalysis by computationally designed retroaldolase enzymes. Proceedings of the National Academy of Sciences. 107(11). 4937–4942. 87 indexed citations
8.
Lassila, Jonathan K.. (2010). Conformational diversity and computational enzyme design. Current Opinion in Chemical Biology. 14(5). 676–682. 26 indexed citations
9.
Lassila, Jonathan K. & Daniel Herschlag. (2008). Promiscuous Sulfatase Activity and Thio-Effects in a Phosphodiesterase of the Alkaline Phosphatase Superfamily. Biochemistry. 47(48). 12853–12859. 47 indexed citations
10.
O’Brien, Patrick, Jonathan K. Lassila, Timothy D. Fenn, Jesse G. Zalatan, & Daniel Herschlag. (2008). Arginine Coordination in Enzymatic Phosphoryl Transfer: Evaluation of the Effect of Arg166 Mutations in Escherichia coli Alkaline Phosphatase. Biochemistry. 47(29). 7663–7672. 48 indexed citations
11.
Lassila, Jonathan K., et al.. (2007). Full-sequence Computational Design and Solution Structure of a Thermostable Protein Variant. Journal of Molecular Biology. 372(1). 1–6. 57 indexed citations
12.
Lassila, Jonathan K., Jennifer R. Keeffe, Peter Kast, & Stephen L. Mayo. (2007). Exhaustive Mutagenesis of Six Secondary Active-Site Residues in Escherichia coli Chorismate Mutase Shows the Importance of Hydrophobic Side Chains and a Helix N-Capping Position for Stability and Catalysis. Biochemistry. 46(23). 6883–6891. 28 indexed citations
13.
Lassila, Jonathan K., Heidi K. Privett, Benjamin D. Allen, & Stephen L. Mayo. (2006). Combinatorial methods for small-molecule placement in computational enzyme design. Proceedings of the National Academy of Sciences. 103(45). 16710–16715. 91 indexed citations
14.
Lassila, Jonathan K., et al.. (2005). Dioxane contributes to the altered conformation and oligomerization state of a designed engrailed homeodomain variant. Protein Science. 14(4). 1115–1119. 11 indexed citations
15.
Lassila, Jonathan K., Jennifer R. Keeffe, Peter Oelschlaeger, & Stephen L. Mayo. (2005). Computationally designed variants of Escherichia coli chorismate mutase show altered catalytic activity. Protein Engineering Design and Selection. 18(4). 161–163. 31 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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