Lynn Ten Eyck

1.2k total citations · 1 hit paper
6 papers, 968 citations indexed

About

Lynn Ten Eyck is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Lynn Ten Eyck has authored 6 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Materials Chemistry and 2 papers in Computational Theory and Mathematics. Recurrent topics in Lynn Ten Eyck's work include Enzyme Structure and Function (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Protein Structure and Dynamics (2 papers). Lynn Ten Eyck is often cited by papers focused on Enzyme Structure and Function (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Protein Structure and Dynamics (2 papers). Lynn Ten Eyck collaborates with scholars based in United States, United Kingdom and France. Lynn Ten Eyck's co-authors include Kim Henrick, Sándor Vajda, Shoshana J. Wodak, Michael J.E. Sternberg, Joël Janin, Ilya A. Vakser, John Moult, Susan S. Taylor, Kyle Durick and Wolfgang R. Dostmann and has published in prestigious journals such as Science, The FASEB Journal and Pharmacology & Therapeutics.

In The Last Decade

Lynn Ten Eyck

6 papers receiving 951 citations

Hit Papers

CAPRI: A Critical Assessment of PRedicted Interactions 2003 2026 2010 2018 2003 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. CAPRI: A Critical Assessment of PRedicted Interactions
    2003 531 citations Joël Janin, Kim Henrick et al. Proteins Structure Function and Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lynn Ten Eyck United States 6 868 262 235 112 65 6 968
Narendra Narayana United States 16 701 0.8× 207 0.8× 80 0.3× 60 0.5× 51 0.8× 23 888
Ivana Mihalek United States 17 1.1k 1.2× 167 0.6× 126 0.5× 85 0.8× 139 2.1× 34 1.2k
Christina Schindler Germany 15 676 0.8× 149 0.6× 167 0.7× 146 1.3× 22 0.3× 25 822
Mohammad T. Mazhab‐Jafari Canada 16 942 1.1× 132 0.5× 90 0.4× 150 1.3× 71 1.1× 32 1.1k
Elzbieta Radzio‐Andzelm United States 12 1.3k 1.5× 310 1.2× 98 0.4× 249 2.2× 43 0.7× 13 1.5k
Simon Mitternacht Sweden 13 534 0.6× 139 0.5× 160 0.7× 35 0.3× 125 1.9× 17 627
Cecilia Y. Cheng United States 7 624 0.7× 122 0.5× 56 0.2× 85 0.8× 51 0.8× 11 728
Christophe Fromont United Kingdom 12 661 0.8× 85 0.3× 197 0.8× 244 2.2× 69 1.1× 17 1.0k
Jeffrey W. Orr United States 8 928 1.1× 88 0.3× 45 0.2× 145 1.3× 49 0.8× 8 1.1k
Hafumi Nishi Japan 12 864 1.0× 152 0.6× 56 0.2× 117 1.0× 32 0.5× 25 1.1k

Countries citing papers authored by Lynn Ten Eyck

Since Specialization
Citations

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

Fields of papers citing papers by Lynn Ten Eyck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lynn Ten Eyck. 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 Lynn Ten Eyck. The network helps show where Lynn Ten Eyck may publish in the future.

Co-authorship network of co-authors of Lynn Ten Eyck

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

All Works

6 of 6 papers shown
1.
Eyck, Lynn Ten, et al.. (2005). Progress in computation and amide hydrogen exchange for prediction of protein–protein complexes. Proteins Structure Function and Bioinformatics. 60(2). 302–307. 9 indexed citations
2.
Janin, Joël, Kim Henrick, John Moult, et al.. (2003). CAPRI: A Critical Assessment of PRedicted Interactions. Proteins Structure Function and Bioinformatics. 52(1). 2–9. 531 indexed citations breakdown →
3.
Taylor, Susan S., Elzbieta Radzio‐Andzelm, M. D. Madhusudan, et al.. (1999). Catalytic Subunit of Cyclic AMP-Dependent Protein Kinase. Pharmacology & Therapeutics. 82(2-3). 133–141. 40 indexed citations
4.
Bruin, Robertus A.M. de, et al.. (1998). Prediction‐based threading of the hMSH2 DNA mismatch repair protein. The FASEB Journal. 12(9). 653–663. 5 indexed citations
5.
Su, Yi‐Hsien, Wolfgang R. Dostmann, Friedrich W. Herberg, et al.. (1995). Regulatory Subunit Of Protein Kinase A: Structure of Deletion Mutant with cAMP Binding Domains. Science. 269(5225). 807–813. 327 indexed citations
6.
Perutz, M. F., Lynn Ten Eyck, John V. Kilmartin, et al.. (1971). Haemoglobin Hiroshima and the Mechanism of the Alkaline Bohr Effect. Nature New Biology. 232(31). 147–149. 56 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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2026