Michael J. Howard

1.1k total citations
18 papers, 833 citations indexed

About

Michael J. Howard is a scholar working on Molecular Biology, Genetics and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Michael J. Howard has authored 18 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Michael J. Howard's work include RNA modifications and cancer (7 papers), DNA Repair Mechanisms (6 papers) and RNA and protein synthesis mechanisms (6 papers). Michael J. Howard is often cited by papers focused on RNA modifications and cancer (7 papers), DNA Repair Mechanisms (6 papers) and RNA and protein synthesis mechanisms (6 papers). Michael J. Howard collaborates with scholars based in United States and United Kingdom. Michael J. Howard's co-authors include John P. Hausknecht, Charlie O. Trevor, Carol A. Fierke, Samuel H. Wilson, Markos Koutmos, Yesenia Rodriguez, Xin Liu, C. Hanski, John K. Sheehan and David J. Thornton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Michael J. Howard

18 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Howard United States 13 389 291 76 63 58 18 833
Cecilia Bjursell Sweden 16 288 0.7× 92 0.3× 77 1.0× 60 1.0× 25 0.4× 39 673
Anil Menon United States 9 117 0.3× 146 0.5× 257 3.4× 64 1.0× 30 0.5× 24 809
Yvonne Garbers Germany 13 64 0.2× 152 0.5× 74 1.0× 24 0.4× 128 2.2× 24 564
Guiquan Li China 16 95 0.2× 412 1.4× 200 2.6× 12 0.2× 200 3.4× 39 945
Damian Oliver Australia 12 116 0.3× 49 0.2× 116 1.5× 17 0.3× 18 0.3× 39 479
Anjali Bansal India 13 134 0.3× 130 0.4× 57 0.8× 5 0.1× 20 0.3× 31 501
Claudia Groß Netherlands 12 212 0.5× 234 0.8× 512 6.7× 14 0.2× 247 4.3× 24 976
John Buchanan Tanzania 16 169 0.4× 26 0.1× 119 1.6× 32 0.5× 14 0.2× 62 755
Margaret Shaw United States 9 265 0.7× 48 0.2× 119 1.6× 37 0.6× 26 0.4× 35 503
Barbara A. Lee United States 12 537 1.4× 35 0.1× 84 1.1× 34 0.5× 48 0.8× 50 1.0k

Countries citing papers authored by Michael J. Howard

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Howard

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

All Works

18 of 18 papers shown
1.
Howard, Michael J., Julie K. Horton, Ming‐Lang Zhao, & Samuel H. Wilson. (2020). Lysines in the lyase active site of DNA polymerase β destabilize nonspecific DNA binding, facilitating searching and DNA gap recognition. Journal of Biological Chemistry. 295(34). 12181–12187. 12 indexed citations
2.
Howard, Michael J., et al.. (2019). DNA polymerase β nucleotide-stabilized template misalignment fidelity depends on local sequence context. Journal of Biological Chemistry. 295(2). 529–538. 5 indexed citations
3.
Howard, Michael J., et al.. (2019). Molecular basis for the faithful replication of 5-methylcytosine and its oxidized forms by DNA polymerase β. Journal of Biological Chemistry. 294(18). 7194–7201. 13 indexed citations
4.
Howard, Michael J. & Samuel H. Wilson. (2018). DNA scanning by base excision repair enzymes and implications for pathway coordination. DNA repair. 71. 101–107. 31 indexed citations
5.
Rodriguez, Yesenia, Michael J. Howard, M.J. Cuneo, Rajendra Prasad, & Samuel H. Wilson. (2017). Unencumbered Pol β lyase activity in nucleosome core particles. Nucleic Acids Research. 45(15). 8901–8915. 20 indexed citations
6.
Howard, Michael J., Yesenia Rodriguez, & Samuel H. Wilson. (2017). DNA polymerase β uses its lyase domain in a processive search for DNA damage. Nucleic Acids Research. 45(7). gkx047–gkx047. 25 indexed citations
7.
Howard, Michael J. & Samuel H. Wilson. (2017). Processive searching ability varies among members of the gap-filling DNA polymerase X family. Journal of Biological Chemistry. 292(42). 17473–17481. 9 indexed citations
8.
Chen, Yu, et al.. (2016). The Diversity of Ribonuclease P: Protein and RNA Catalysts with Analogous Biological Functions. Biomolecules. 6(2). 27–27. 49 indexed citations
9.
Howard, Michael J., et al.. (2016). Differential substrate recognition by isozymes of plant protein-only Ribonuclease P. RNA. 22(5). 782–792. 24 indexed citations
10.
11.
Howard, Michael J., et al.. (2015). Mechanistic Studies Reveal Similar Catalytic Strategies for Phosphodiester Bond Hydrolysis by Protein-only and RNA-dependent Ribonuclease P. Journal of Biological Chemistry. 290(21). 13454–13464. 30 indexed citations
12.
Howard, Michael J., et al.. (2013). RNase P enzymes. RNA Biology. 10(6). 909–914. 27 indexed citations
13.
Howard, Michael J., et al.. (2012). Mitochondrial ribonuclease P structure provides insight into the evolution of catalytic strategies for precursor-tRNA 5′ processing. Proceedings of the National Academy of Sciences. 109(40). 16149–16154. 94 indexed citations
14.
Mulrooney, Scott B., Michael J. Howard, & Robert P. Hausinger. (2011). The Escherichia coli alkylation response protein AidB is a redox partner of flavodoxin and binds RNA and acyl carrier protein. Archives of Biochemistry and Biophysics. 513(2). 81–86. 4 indexed citations
15.
Hausknecht, John P., Charlie O. Trevor, & Michael J. Howard. (2009). Unit-level voluntary turnover rates and customer service quality: Implications of group cohesiveness, newcomer concentration, and size.. Journal of Applied Psychology. 94(4). 1068–1075. 160 indexed citations
16.
Hausknecht, John P., et al.. (2009). Targeted employee retention: Performance‐based and job‐related differences in reported reasons for staying. Human Resource Management. 48(2). 269–288. 255 indexed citations
17.
Trevor, Charlie O., John P. Hausknecht, & Michael J. Howard. (2007). Why High and Low Performers Leave and What They Find Elsewhere: Job Performance Effects on Employment Transitions. eCommons (Cornell University). 7 indexed citations
18.
Thornton, David J., et al.. (1994). Identification of Two Major Populations of Mucins in Respiratory Secretions. American Journal of Respiratory and Critical Care Medicine. 150(3). 823–832. 43 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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