Martin Pool

2.4k total citations · 1 hit paper
29 papers, 1.8k citations indexed

About

Martin Pool is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Martin Pool has authored 29 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 12 papers in Genetics and 9 papers in Cell Biology. Recurrent topics in Martin Pool's work include RNA and protein synthesis mechanisms (18 papers), Bacterial Genetics and Biotechnology (12 papers) and RNA modifications and cancer (8 papers). Martin Pool is often cited by papers focused on RNA and protein synthesis mechanisms (18 papers), Bacterial Genetics and Biotechnology (12 papers) and RNA modifications and cancer (8 papers). Martin Pool collaborates with scholars based in United Kingdom, Germany and United States. Martin Pool's co-authors include Irmgard Sinning, Mario Halić, Roland Beckmann, Thomas Becker, Yvonne Nyathi, Bernhard Dobberstein, Gabriella Forte, Colin J. Stirling, Barrie Wilkinson and C.M.T. Spahn and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Martin Pool

29 papers receiving 1.8k citations

Hit Papers

Structure of the signal recognition particle interacting ... 2004 2026 2011 2018 2004 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Pool United Kingdom 19 1.6k 557 377 207 206 29 1.8k
R.M. Voorhees United States 17 2.3k 1.4× 634 1.1× 340 0.9× 172 0.8× 134 0.7× 25 2.5k
Mario Halić Germany 23 1.9k 1.2× 438 0.8× 173 0.5× 150 0.7× 206 1.0× 36 2.2k
Jan P. Erzberger United States 21 3.1k 2.0× 704 1.3× 355 0.9× 144 0.7× 222 1.1× 26 3.5k
C. Dingwall United Kingdom 20 2.2k 1.4× 312 0.6× 247 0.7× 93 0.4× 126 0.6× 22 2.8k
Mariko Ariyoshi Japan 29 2.7k 1.7× 739 1.3× 244 0.6× 162 0.8× 208 1.0× 49 3.1k
Sichen Shao United States 27 2.7k 1.7× 369 0.7× 709 1.9× 270 1.3× 267 1.3× 46 3.3k
Gregory D. Davis United States 12 1.5k 0.9× 371 0.7× 182 0.5× 99 0.5× 92 0.4× 20 1.6k
Michael R. Slater United States 15 2.0k 1.3× 164 0.3× 233 0.6× 193 0.9× 141 0.7× 25 2.4k
Christian Speck United Kingdom 28 2.7k 1.7× 942 1.7× 355 0.9× 113 0.5× 195 0.9× 46 2.9k
Katsura Asano United States 33 2.9k 1.8× 318 0.6× 237 0.6× 109 0.5× 109 0.5× 62 3.1k

Countries citing papers authored by Martin Pool

Since Specialization
Citations

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

Fields of papers citing papers by Martin Pool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Pool. 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 Martin Pool. The network helps show where Martin Pool may publish in the future.

Co-authorship network of co-authors of Martin Pool

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Pool. A scholar is included among the top collaborators of Martin Pool 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 Martin Pool. Martin Pool 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.
Pool, Martin, et al.. (2024). Orchestrated centers for the production of proteins or “translation factories”. Wiley Interdisciplinary Reviews - RNA. 15(4). e1867–e1867. 3 indexed citations
2.
Taylor, Susan H., et al.. (2024). Sustainable SDS-PAGE and Western blotting: cutting plastic, not corners. The Biochemist. 47(1). 3–8. 1 indexed citations
3.
Mogul, Jeffrey C., et al.. (2020). Experiences with Modeling Network Topologies at Multiple Levels of Abstraction. Networked Systems Design and Implementation. 403–418. 7 indexed citations
4.
McKenna, Michael J., et al.. (2015). Mammalian SRP receptor switches the Sec61 translocase from Sec62 to SRP-dependent translocation. Nature Communications. 6(1). 10133–10133. 43 indexed citations
5.
Wild, Klemens, et al.. (2015). Structure and Switch Cycle of SRβ as Ancestral Eukaryotic GTPase Associated with Secretory Membranes. Structure. 23(10). 1838–1847. 9 indexed citations
6.
Nyathi, Yvonne, Barrie Wilkinson, & Martin Pool. (2013). Co-translational targeting and translocation of proteins to the endoplasmic reticulum. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1833(11). 2392–2402. 149 indexed citations
7.
Forte, Gabriella, Martin Pool, & Colin J. Stirling. (2011). N-Terminal Acetylation Inhibits Protein Targeting to the Endoplasmic Reticulum. PLoS Biology. 9(5). e1001073–e1001073. 152 indexed citations
8.
Cross, Benedict C. S., Craig McKibbin, Anna C. Callan, et al.. (2009). Eeyarestatin I inhibits Sec61-mediated protein translocation at the endoplasmic reticulum. Journal of Cell Science. 122(23). 4393–4400. 87 indexed citations
9.
Pool, Martin. (2009). A trans-membrane segment inside the ribosome exit tunnel triggers RAMP4 recruitment to the Sec61p translocase. The Journal of Cell Biology. 185(5). 889–902. 38 indexed citations
10.
Pool, Martin, et al.. (2008). Access to Ribosomal Protein Rpl25p by the Signal Recognition Particle Is Required for Efficient Cotranslational Translocation. Molecular Biology of the Cell. 19(7). 2876–2884. 15 indexed citations
11.
Halić, Mario, Michael Blau, Thomas Becker, et al.. (2006). Following the signal sequence from ribosomal tunnel exit to signal recognition particle. Nature. 444(7118). 507–511. 159 indexed citations
12.
Pool, Martin. (2005). Signal recognition particles in chloroplasts, bacteria, yeast and mammals (Review). Molecular Membrane Biology. 22(1-2). 3–15. 88 indexed citations
13.
Abell, Ben M., Martin Pool, Oliver Schlenker, Irmgard Sinning, & Stephen High. (2004). Signal recognition particle mediates post‐translational targeting in eukaryotes. The EMBO Journal. 23(14). 2755–2764. 107 indexed citations
14.
Halić, Mario, Thomas Becker, Martin Pool, et al.. (2004). Structure of the signal recognition particle interacting with the elongation-arrested ribosome. Nature. 427(6977). 808–814. 333 indexed citations breakdown →
15.
16.
Frey, Steffen, Martin Pool, & Matthias Seedorf. (2001). Scp160p, an RNA-binding, Polysome-associated Protein, Localizes to the Endoplasmic Reticulum of Saccharomyces cerevisiae in a Microtubule-dependent Manner. Journal of Biological Chemistry. 276(19). 15905–15912. 91 indexed citations
17.
Pool, Martin, et al.. (1999). Arabidopsis 22-Kilodalton Peroxisomal Membrane Protein. Nucleotide Sequence Analysis and Biochemical Characterization1. PLANT PHYSIOLOGY. 120(1). 309–320. 42 indexed citations
18.
Pool, Martin, Eduardo López‐Huertas, Jim‐Tong Horng, & Alison Baker. (1998). NADPH is a specific inhibitor of protein import into glyoxysomes. The Plant Journal. 15(1). 1–14. 15 indexed citations
19.
Pool, Martin, Eduardo López‐Huertas, & Alison Baker. (1998). Characterization of intermediates in the process of plant peroxisomal protein import. The EMBO Journal. 17(23). 6854–6862. 17 indexed citations
20.
Baker, Alison, et al.. (1996). PROTEIN TARGETING AND TRANSLOCATION; A COMPARATIVE SURVEY. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 71(4). 637–702. 7 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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