Michael A. Kennedy

8.3k total citations · 2 hit papers
196 papers, 5.5k citations indexed

About

Michael A. Kennedy is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Michael A. Kennedy has authored 196 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Molecular Biology, 47 papers in Materials Chemistry and 24 papers in Spectroscopy. Recurrent topics in Michael A. Kennedy's work include Enzyme Structure and Function (42 papers), Protein Structure and Dynamics (35 papers) and RNA and protein synthesis mechanisms (33 papers). Michael A. Kennedy is often cited by papers focused on Enzyme Structure and Function (42 papers), Protein Structure and Dynamics (35 papers) and RNA and protein synthesis mechanisms (33 papers). Michael A. Kennedy collaborates with scholars based in United States, Canada and China. Michael A. Kennedy's co-authors include James H. Prestegard, Joel R. Tolman, John M. Flanagan, Theresa A. Ramelot, John Cort, Shuisong Ni, G.T. Montelione, Paul D. Ellis, Garry W. Buchko and Lindsey E. Romick‐Rosendale and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Michael A. Kennedy

193 papers receiving 5.4k citations

Hit Papers

Nuclear magnetic dipole interactions in field-oriented pr... 1995 2026 2005 2015 1995 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael A. Kennedy United States 35 3.4k 939 927 665 598 196 5.5k
Jennifer L. Martin Australia 48 5.4k 1.6× 1.1k 1.2× 384 0.4× 493 0.7× 423 0.7× 157 8.1k
Scott A. Lesley United States 39 5.2k 1.5× 868 0.9× 321 0.3× 488 0.7× 476 0.8× 115 7.0k
Robert E. London United States 50 5.5k 1.6× 1.0k 1.1× 1.3k 1.4× 342 0.5× 282 0.5× 275 9.5k
Thomas Peters Germany 43 4.4k 1.3× 477 0.5× 581 0.6× 584 0.9× 468 0.8× 161 7.4k
Brian Bothner United States 43 3.2k 0.9× 452 0.5× 673 0.7× 595 0.9× 473 0.8× 184 6.3k
Michael G. Prisant United States 13 5.2k 1.5× 1.3k 1.4× 397 0.4× 639 1.0× 462 0.8× 25 7.6k
Julie A. Leary United States 50 4.2k 1.3× 510 0.5× 2.7k 2.9× 760 1.1× 786 1.3× 162 7.4k
Marco Tonelli United States 37 4.2k 1.2× 657 0.7× 560 0.6× 301 0.5× 356 0.6× 143 5.9k
John S. Klassen Canada 47 3.3k 1.0× 489 0.5× 2.6k 2.8× 483 0.7× 266 0.4× 214 6.8k
Tobias Fuhrer Switzerland 37 4.5k 1.3× 545 0.6× 381 0.4× 391 0.6× 402 0.7× 53 7.1k

Countries citing papers authored by Michael A. Kennedy

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Kennedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael A. Kennedy

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Kennedy. A scholar is included among the top collaborators of Michael A. Kennedy 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 A. Kennedy. Michael A. Kennedy 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.
2.
Tejero, Roberto, Yuanpeng J. Huang, Theresa A. Ramelot, et al.. (2023). Blind Assessment of Monomeric AlphaFold2 Protein Structure Models with Experimental NMR Data. SSRN Electronic Journal. 1 indexed citations
3.
Xu, Shenyuan, Yang Liu, Pengwei Huang, et al.. (2021). Structural basis of P[II] rotavirus evolution and host ranges under selection of histo-blood group antigens. Proceedings of the National Academy of Sciences. 118(36). 11 indexed citations
4.
Bastin, Donald, S. Khan, Joshua Montroy, et al.. (2021). Safety and efficacy of autologous whole cell vaccines in hematologic malignancies: A systematic review and meta‐analysis. Hematological Oncology. 39(4). 448–464. 8 indexed citations
5.
Kennedy, Michael A., et al.. (2021). Current Understanding of the Structure and Function of Pentapeptide Repeat Proteins. Biomolecules. 11(5). 638–638. 11 indexed citations
6.
Kennedy, Michael A., et al.. (2021). Introduction of a new scheme for classifying β‐turns in protein structures. Proteins Structure Function and Bioinformatics. 90(1). 110–122. 7 indexed citations
7.
Xu, Shenyuan & Michael A. Kennedy. (2020). Structural dynamics of pentapeptide repeat proteins. Proteins Structure Function and Bioinformatics. 88(11). 1493–1512. 6 indexed citations
8.
Ng, Juliana, et al.. (2020). A Method of Assessment of Human Natural Killer Cell Phenotype and Function in Whole Blood. Frontiers in Immunology. 11. 963–963. 2 indexed citations
9.
Kennedy, Michael A., et al.. (2019). RANCM: a new ranking scheme for assigning confidence levels to metabolite assignments in NMR-based metabolomics studies. Metabolomics. 15(1). 5–5. 8 indexed citations
10.
Wang, Zi, Yao Nie, Henghao Xu, et al.. (2018). Solution structure of SHIP2 SH2 domain and its interaction with a phosphotyrosine peptide from c-MET. Archives of Biochemistry and Biophysics. 656. 31–37. 9 indexed citations
12.
Alkayyal, Almohanad A., Lee‐Hwa Tai, Michael A. Kennedy, et al.. (2017). NK-Cell Recruitment Is Necessary for Eradication of Peritoneal Carcinomatosis with an IL12-Expressing Maraba Virus Cellular Vaccine. Cancer Immunology Research. 5(3). 211–221. 59 indexed citations
14.
Elnatan, Daniel, Miguel Betegon, Yanxin Liu, et al.. (2017). Symmetry broken and rebroken during the ATP hydrolysis cycle of the mitochondrial Hsp90 TRAP1. eLife. 6. 61 indexed citations
15.
Liu, Yang, Shenyuan Xu, Ming Xia, et al.. (2017). Structural basis of glycan specificity of P[19] VP8*: Implications for rotavirus zoonosis and evolution. PLoS Pathogens. 13(11). e1006707–e1006707. 37 indexed citations
16.
Raman, Srivatsan, Oliver F. Lange, P. Rossi, et al.. (2010). NMR Structure Determination for Larger Proteins Using Backbone-Only Data. Science. 327(5968). 1014–1018. 201 indexed citations
17.
Wu, Bin, Adelinda Yee, Yuanpeng J. Huang, et al.. (2008). The solution structure of ribosomal protein S17E from Methanobacterium thermoautotrophicum: A structural homolog of the FF domain. Protein Science. 17(3). 583–588. 3 indexed citations
18.
Aramini, James M., Yuanpeng J. Huang, G.V.T. Swapna, et al.. (2007). Solution NMR structure of Escherichia coli ytfP expands the structural coverage of the UPF0131 protein domain family. Proteins Structure Function and Bioinformatics. 68(3). 789–795. 4 indexed citations
19.
Savchenko, Alexei, Nevan J. Krogan, John Cort, et al.. (2005). The Shwachman-Bodian-Diamond Syndrome Protein Family Is Involved in RNA Metabolism. Journal of Biological Chemistry. 280(19). 19213–19220. 84 indexed citations
20.
Bracken, J. J. & Michael A. Kennedy. (1967). Notes On Some Irish Estuarine And Inshore Fishes (With records of the distribution of shads by Eileen Twomey, M.Sc ). Journal of the National Medical Association. 48(1). 48–55. 16 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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