Michael R. Gryk

2.0k total citations · 1 hit paper
49 papers, 1.3k citations indexed

About

Michael R. Gryk is a scholar working on Molecular Biology, Information Systems and Management and Information Systems. According to data from OpenAlex, Michael R. Gryk has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 14 papers in Information Systems and Management and 11 papers in Information Systems. Recurrent topics in Michael R. Gryk's work include Protein Structure and Dynamics (18 papers), Scientific Computing and Data Management (14 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Michael R. Gryk is often cited by papers focused on Protein Structure and Dynamics (18 papers), Scientific Computing and Data Management (14 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Michael R. Gryk collaborates with scholars based in United States, Japan and Canada. Michael R. Gryk's co-authors include Mark W. Maciejewski, Jeffrey C. Hoch, Hamid R. Eghbalnia, Gregory P. Mullen, Assen Marintchev, Eldon L. Ulrich, Pedro Romero, Adam D. Schuyler, Miron Livny and Ion I. Moraru and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Michael R. Gryk

45 papers receiving 1.3k citations

Hit Papers

NMRbox: A Resource for Biomolecular NMR Computation 2017 2026 2020 2023 2017 100 200 300
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. NMRbox: A Resource for Biomolecular NMR Computation
    2017 322 citations Mark W. Maciejewski, Adam D. Schuyler et al. Biophysical Journal profile →

Peers

Michael R. Gryk
Zachary Miller United States
Jurgen F. Doreleijers Netherlands
Catherine Zwahlen Switzerland
Andras Boeszoermenyi United States
Mark W. Maciejewski United States
Yuanpeng J. Huang United States
Naohiro Kobayashi Japan
Pablo Conesa Spain
René Staritzbichler Germany
Jacques Chomilier France
Zachary Miller United States
Michael R. Gryk
Citations per year, relative to Michael R. Gryk Michael R. Gryk (= 1×) peers Zachary Miller

Countries citing papers authored by Michael R. Gryk

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Gryk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Gryk. 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 Michael R. Gryk. The network helps show where Michael R. Gryk may publish in the future.

Co-authorship network of co-authors of Michael R. Gryk

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Gryk. A scholar is included among the top collaborators of Michael R. Gryk 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 Michael R. Gryk. Michael R. Gryk 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.
Love, David, Michael R. Gryk, & Adam D. Schuyler. (2025). Evaluating metrics of spectral quality in nonuniform sampling. PubMed. 23. 100187–100187. 1 indexed citations
2.
Gryk, Michael R., et al.. (2025). Usage of the term provenance in LIS literature: An Annual Review of Information Science and Technology (ARIST) paper. Journal of the Association for Information Science and Technology. 77(1). 92–107.
3.
Gryk, Michael R.. (2022). Human Readability of Data Files. Balisage series on markup technologies. 27.
4.
Baskaran, Kumaran, Hamid R. Eghbalnia, Michael R. Gryk, et al.. (2022). Merging NMR Data and Computation Facilitates Data-Centered Research. Frontiers in Molecular Biosciences. 8. 817175–817175. 5 indexed citations
5.
Gryk, Michael R.. (2021). Deconstructing the STAR File Format. Balisage series on markup technologies. 26. 4 indexed citations
6.
Gryk, Michael R., et al.. (2020). Embedding Analytics within the Curation of Scientific Workflows. SHILAP Revista de lepidopterología. 15(1). 8–8. 1 indexed citations
7.
Gryk, Michael R. & Bertram Ludäscher. (2018). Semantic Mediation to Improve Reproducibility for Biomolecular NMR Analysis. Lecture notes in computer science. 10766. 620–625.
8.
Maciejewski, Mark W., Adam D. Schuyler, Michael R. Gryk, et al.. (2017). NMRbox: A Resource for Biomolecular NMR Computation. Biophysical Journal. 112(8). 1529–1534. 322 indexed citations breakdown →
9.
Ellis, Heidi J. C., et al.. (2013). A Pipeline Software Architecture for NMR Spectrum Data Translation. Computing in Science & Engineering. 15(1). 76–83. 1 indexed citations
10.
Gryk, Michael R., Mark W. Maciejewski, Vishal Thapar, et al.. (2012). Secondary Structure, a Missing Component of Sequence-Based Minimotif Definitions. PLoS ONE. 7(12). e49957–e49957. 12 indexed citations
11.
Mi, Tiejuan, Sandeep Deverasetty, Michael R. Gryk, et al.. (2011). Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences. Nucleic Acids Research. 40(D1). D252–D260. 47 indexed citations
12.
Vyas, Jatin M., Michael R. Gryk, & Martin R. Schiller. (2009). VENN, a tool for titrating sequence conservation onto protein structures. Nucleic Acids Research. 37(18). e124–e124. 16 indexed citations
13.
Rajasekaran, Sanguthevar, Michael R. Gryk, Krishna Kadaveru, et al.. (2008). Minimotif miner 2nd release: a database and web system for motif search. Nucleic Acids Research. 37(Database). D185–D190. 52 indexed citations
14.
Mobli, Mehdi, Mark W. Maciejewski, Michael R. Gryk, & Jeffrey C. Hoch. (2007). Automatic maximum entropy spectral reconstruction in NMR. Journal of Biomolecular NMR. 39(2). 133–139. 43 indexed citations
15.
Ellis, Heidi J. C., et al.. (2004). Delineation and analysis of the conceptual data model implied by the “IUPAC Recommendations for Biochemical Nomenclature”. Protein Science. 13(9). 2559–2563. 6 indexed citations
16.
Gryk, Michael R., Assen Marintchev, Mark W. Maciejewski, et al.. (2002). Mapping of the Interaction Interface of DNA Polymerase β with XRCC1. Structure. 10(12). 1709–1720. 36 indexed citations
17.
Gryk, Michael R., Roger Abseher, Bernd Simon, Michaël Nilges, & Hartmut Oschkinat. (1998). Heteronuclear relaxation study of the PH domain of β-spectrin: restriction of loop motions upon binding inositol trisphosphate 1 1Edited by P. E. Wright. Journal of Molecular Biology. 280(5). 879–896. 30 indexed citations
18.
Gryk, Michael R. & Oleg Jardetzky. (1996). AV77 Hinge Mutation Stabilizes the Helix-Turn-Helix Domain of Repressor. Journal of Molecular Biology. 255(1). 204–214. 19 indexed citations
19.
Zheng, Zhongming, et al.. (1995). Investigation of Protein Amide-Proton Exchange by 1H Longitudinal Spin Relaxation. Journal of Magnetic Resonance Series B. 108(3). 220–234. 10 indexed citations
20.
Gryk, Michael R., et al.. (1995). Solution dynamics of the trp repressor: A study of amide proton exchange by T1 relaxation. Journal of Molecular Biology. 246(5). 618–627. 29 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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