Martin A. Smith

10.8k total citations · 4 hit papers
103 papers, 7.0k citations indexed

About

Martin A. Smith is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Martin A. Smith has authored 103 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 30 papers in Cellular and Molecular Neuroscience and 12 papers in Cancer Research. Recurrent topics in Martin A. Smith's work include Neuroscience and Neuropharmacology Research (18 papers), Ion channel regulation and function (15 papers) and RNA Research and Splicing (13 papers). Martin A. Smith is often cited by papers focused on Neuroscience and Neuropharmacology Research (18 papers), Ion channel regulation and function (15 papers) and RNA Research and Splicing (13 papers). Martin A. Smith collaborates with scholars based in United States, Australia and Canada. Martin A. Smith's co-authors include John S. Mattick, Lutz G.W. Hilgenberg, Diane K. O’Dowd, Marcel E. Dinger, Joanna Crawford, Eva Maria Novoa, Tim R. Mercer, Nicole Schönrock, U.J. McMahan and Bruce G. Wallace and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Martin A. Smith

102 papers receiving 6.9k citations

Hit Papers

The Human Mitochondrial Transcriptome 2011 2026 2016 2021 2011 2016 2017 2019 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
Martin A. Smith United States 41 4.9k 1.7k 1.4k 427 413 103 7.0k
Stefano Gustincich Italy 44 4.9k 1.0× 1.4k 0.9× 1.4k 1.0× 442 1.0× 564 1.4× 132 6.9k
Xian Adiconis United States 30 5.5k 1.1× 1.6k 0.9× 663 0.5× 230 0.5× 609 1.5× 43 7.5k
Harukazu Suzuki Japan 47 7.2k 1.5× 1.8k 1.1× 1.9k 1.4× 548 1.3× 520 1.3× 149 9.4k
Stefanie M. Hauck Germany 48 4.4k 0.9× 1.1k 0.7× 634 0.4× 459 1.1× 410 1.0× 271 7.8k
Carrolee Barlow United States 45 5.3k 1.1× 1.3k 0.8× 767 0.5× 619 1.4× 1.2k 2.9× 93 8.1k
Laurent Nguyen Belgium 53 4.4k 0.9× 813 0.5× 2.2k 1.6× 1.1k 2.6× 773 1.9× 168 8.8k
Christopher J. Kemp United States 50 5.3k 1.1× 1.4k 0.9× 632 0.4× 589 1.4× 779 1.9× 166 9.7k
Arne Klungland Norway 52 11.1k 2.3× 3.1k 1.9× 843 0.6× 271 0.6× 925 2.2× 140 12.5k
Bernhard Radlwimmer Germany 52 4.8k 1.0× 1.8k 1.1× 639 0.5× 457 1.1× 1.1k 2.8× 97 8.7k
Mei Liu China 34 2.4k 0.5× 835 0.5× 681 0.5× 753 1.8× 302 0.7× 202 4.6k

Countries citing papers authored by Martin A. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Martin A. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin A. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Martin A. Smith. A scholar is included among the top collaborators of Martin A. Smith 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 A. Smith. Martin A. Smith 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
2.
Benoit, Patrick, Chantal Soucy, Simon Gagnon, et al.. (2023). On-demand, hospital-based, severe acute respiratory coronavirus virus 2 (SARS-CoV-2) genomic epidemiology to support nosocomial outbreak investigations: A prospective molecular epidemiology study. SHILAP Revista de lepidopterología. 3(1). e45–e45. 2 indexed citations
3.
Carbonneau, Julie, Venice Du Pont, Jason K. Perry, et al.. (2022). In Vitro Selection of Remdesivir-Resistant SARS-CoV-2 Demonstrates High Barrier to Resistance. Antimicrobial Agents and Chemotherapy. 66(7). e0019822–e0019822. 25 indexed citations
4.
Paré, Bastien, et al.. (2022). iPSCs derived from esophageal atresia patients reveal SOX2 dysregulation at the anterior foregut stage. Disease Models & Mechanisms. 15(11). 3 indexed citations
5.
Leung, Preston, Kirston Barton, Martin A. Smith, et al.. (2021). Adaptation of Oxford Nanopore technology for hepatitis C whole genome sequencing and identification of within-host viral variants. BMC Genomics. 22(1). 148–148. 20 indexed citations
6.
Werner, Andreas, et al.. (2021). Widespread formation of double-stranded RNAs in testis. Genome Research. 31(7). 1174–1186. 8 indexed citations
7.
González‐Aguilera, Cristina, et al.. (2020). Repeat RNAs associate with replication forks and post-replicative DNA. RNA. 26(9). 1104–1117. 6 indexed citations
8.
Ferguson, James M. & Martin A. Smith. (2019). SquiggleKit: a toolkit for manipulating nanopore signal data. Bioinformatics. 35(24). 5372–5373. 14 indexed citations
9.
Deveson, Ira W., Bindu Swapna Madala, James Blackburn, et al.. (2019). Chiral DNA sequences as commutable controls for clinical genomics. Nature Communications. 10(1). 1342–1342. 14 indexed citations
10.
Shah, Syed Islamuddin, Martin A. Smith, Ian Parker, Ghanim Ullah, & Angelo Demuro. (2018). CellSpecks: A Software for Automated Detection and Analysis for Calcium Channels in Live Cells. Biophysical Journal. 114(3). 291a–291a. 1 indexed citations
11.
Smith, Martin A., et al.. (2017). The RNA modification landscape in human disease. RNA. 23(12). 1754–1769. 436 indexed citations breakdown →
12.
Smith, Martin A., Derek John Curtis, Jesper Bencke, & Julie Stebbins. (2013). Use of wand markers on the pelvis in three dimensional gait analysis. Gait & Posture. 38(4). 1070–1073. 3 indexed citations
13.
Khaitan, Divya, Marcel E. Dinger, Joseph Mazar, et al.. (2011). The Melanoma-Upregulated Long Noncoding RNA SPRY4-IT1 Modulates Apoptosis and Invasion. Cancer Research. 71(11). 3852–3862. 396 indexed citations
14.
Kurian, Manju A., Paul Gissen, Martin A. Smith, Simon Heales, & Peter T. Clayton. (2011). The monoamine neurotransmitter disorders: an expanding range of neurological syndromes. The Lancet Neurology. 10(8). 721–733. 248 indexed citations
15.
Mercer, Tim R., Shane Neph, Marcel E. Dinger, et al.. (2011). The Human Mitochondrial Transcriptome. Cell. 146(4). 645–658. 631 indexed citations breakdown →
16.
Hilgenberg, Lutz G.W., et al.. (2009). Agrin Regulation of α3 Sodium-Potassium ATPase Activity Modulates Cardiac Myocyte Contraction. Journal of Biological Chemistry. 284(25). 16956–16965. 22 indexed citations
17.
Smith, Martin A., et al.. (1997). Selective Regulation of Agrin mRNA Induction and Alternative Splicing in PC12 Cells by Ras-dependent Actions of Nerve Growth Factor. Journal of Biological Chemistry. 272(25). 15675–15681. 30 indexed citations
18.
Kato, Keiko, Diane K. O’Dowd, Scott E. Fraser, & Martin A. Smith. (1997). Heterogeneous Expression of Multiple Putative Patterning Genes by Single Cells from the Chick Hindbrain. Developmental Biology. 191(2). 259–269. 9 indexed citations
19.
Smith, Martin A., et al.. (1996). Agrin mRNA expression in the developing chick Edinger-Westphal nucleus. Visual Neuroscience. 13(2). 293–301. 3 indexed citations
20.
Greene, S A, Martin A. Smith, B Cartwright, & J D Baum. (1983). Comparison of human versus porcine insulin in treatment of diabetes in children.. BMJ. 287(6405). 1578–1579. 13 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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