Michael P. Spiller

543 total citations
9 papers, 429 citations indexed

About

Michael P. Spiller is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Michael P. Spiller has authored 9 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Michael P. Spiller's work include RNA modifications and cancer (4 papers), Mitochondrial Function and Pathology (3 papers) and RNA and protein synthesis mechanisms (3 papers). Michael P. Spiller is often cited by papers focused on RNA modifications and cancer (4 papers), Mitochondrial Function and Pathology (3 papers) and RNA and protein synthesis mechanisms (3 papers). Michael P. Spiller collaborates with scholars based in United Kingdom, New Zealand and United States. Michael P. Spiller's co-authors include Jean D. Beggs, Martin A.M. Reijns, Ross D. Alexander, Ravi Kambadur, Mark Thomas, Ferenc Jeanplong, Mridula Sharma, Julie Martyn, John J. Bass and Hui Lu and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Michael P. Spiller

9 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael P. Spiller United Kingdom	8	404	54	40	38	37	9	429
Tadeusz Marciniec Poland	7	524 1.3×	62 1.1×	90 2.3×	88 2.3×	27 0.7×	9	603
Hicham Mahboubi Canada	11	406 1.0×	112 2.1×	36 0.9×	12 0.3×	8 0.2×	14	498
Sébastien Courrier France	7	410 1.0×	73 1.4×	26 0.7×	23 0.6×	66 1.8×	10	436
Chiara Bonfanti Italy	8	206 0.5×	33 0.6×	35 0.9×	11 0.3×	31 0.8×	12	277
Tamieka Whyte United Kingdom	3	166 0.4×	54 1.0×	22 0.6×	9 0.2×	21 0.6×	4	199
Yoshihiko Kitoh Japan	6	393 1.0×	16 0.3×	40 1.0×	57 1.5×	68 1.8×	8	423
Damelys Calderon France	8	337 0.8×	23 0.4×	8 0.2×	35 0.9×	77 2.1×	11	394
Ivone Bruno United States	7	392 1.0×	23 0.4×	17 0.4×	20 0.5×	28 0.8×	11	453
Chiara Camillo United States	6	163 0.4×	82 1.5×	17 0.4×	11 0.3×	14 0.4×	16	295
Jennifer C. Harr United States	6	393 1.0×	49 0.9×	13 0.3×	13 0.3×	32 0.9×	8	457

Countries citing papers authored by Michael P. Spiller

Since Specialization

Citations

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

Fields of papers citing papers by Michael P. Spiller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael P. Spiller

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

All Works

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9 of 9 papers shown

Spiller, Michael P., Liang Guo, Qi Wang, Peter Tran, & Hui Lu. (2015). Mitochondrial Tim9 protects Tim10 from degradation by the protease Yme1. Bioscience Reports. 35(3). 14 indexed citations

Spiller, Michael P., et al.. (2014). The disease-associated mutation of the mitochondrial thiol oxidase Erv1 impairs cofactor binding during its catalytic reaction. Biochemical Journal. 464(3). 449–459. 18 indexed citations

Spiller, Michael P., et al.. (2013). Identification and characterization of mitochondrial Mia40 as an iron–sulfur protein. Biochemical Journal. 455(1). 27–35. 22 indexed citations

Spiller, Michael P. & Colin J. Stirling. (2011). Preferential Targeting of a Signal Recognition Particle-dependent Precursor to the Ssh1p Translocon in Yeast. Journal of Biological Chemistry. 286(25). 21953–21960. 14 indexed citations

Reijns, Martin A.M., Ross D. Alexander, Michael P. Spiller, & Jean D. Beggs. (2008). A role for Q/N-rich aggregation-prone regions in P-body localization. Journal of Cell Science. 121(15). 2463–2472. 171 indexed citations

Spiller, Michael P., Kum-Loong Boon, Martin A.M. Reijns, & Jean D. Beggs. (2007). The Lsm2-8 complex determines nuclear localization of the spliceosomal U6 snRNA. Nucleic Acids Research. 35(3). 923–929. 29 indexed citations

Spiller, Michael P., Martin A.M. Reijns, & Jean D. Beggs. (2007). Requirements for nuclear localization of the Lsm2-8p complex and competition between nuclear and cytoplasmic Lsm complexes. Journal of Cell Science. 120(24). 4310–4320. 24 indexed citations

Spiller, Michael P., Ravi Kambadur, Ferenc Jeanplong, et al.. (2002). The Myostatin Gene Is a Downstream Target Gene of Basic Helix-Loop-Helix Transcription Factor MyoD. Molecular and Cellular Biology. 22(20). 7066–7082. 136 indexed citations

Sharma, Mahesh C., Ferenc Jeanplong, Mark Thomas, et al.. (2000). Cloning and characterization of the bovine myostatin promoter. 60. 90–93. 1 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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