Tom Smith

3.9k total citations · 1 hit paper
30 papers, 2.0k citations indexed

About

Tom Smith is a scholar working on Molecular Biology, General Health Professions and Spectroscopy. According to data from OpenAlex, Tom Smith has authored 30 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in General Health Professions and 3 papers in Spectroscopy. Recurrent topics in Tom Smith's work include RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (5 papers) and RNA Research and Splicing (5 papers). Tom Smith is often cited by papers focused on RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (5 papers) and RNA Research and Splicing (5 papers). Tom Smith collaborates with scholars based in United Kingdom, United States and Germany. Tom Smith's co-authors include Ian Sudbery, Andreas Heger, Kathryn S. Lilley, Anne E. Willis, Rayner M. L. Queiroz, Mariavittoria Pizzinga, Robert F. Harvey, Veronica Dezi, Laraib Malik and Rob Patro and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Tom Smith

28 papers receiving 2.0k citations

Hit Papers

UMI-tools: modeling sequencing errors in Unique Molecular... 2017 2026 2020 2023 2017 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Smith United Kingdom 12 1.5k 352 184 137 130 30 2.0k
Liana F. Lareau United States 12 3.0k 2.0× 422 1.2× 147 0.8× 198 1.4× 178 1.4× 15 3.2k
Tari Parmely United States 14 1.4k 0.9× 183 0.5× 236 1.3× 183 1.3× 127 1.0× 20 2.0k
Jean‐François Lucier Canada 19 1.6k 1.0× 218 0.6× 84 0.5× 94 0.7× 336 2.6× 34 2.0k
Rubén Nogales‐Cadenas Spain 17 1.1k 0.7× 399 1.1× 187 1.0× 214 1.6× 97 0.7× 20 1.6k
John LaCava United States 21 2.2k 1.5× 194 0.6× 156 0.8× 109 0.8× 481 3.7× 49 2.5k
Sumio Sugano Japan 15 1.3k 0.9× 147 0.4× 193 1.0× 300 2.2× 133 1.0× 25 1.7k
Oliver Frings Sweden 14 981 0.6× 155 0.4× 163 0.9× 153 1.1× 124 1.0× 20 1.4k
Tatyana Goldberg Germany 15 1.1k 0.7× 102 0.3× 209 1.1× 186 1.4× 150 1.2× 22 1.7k
Sandro J. de Souza Brazil 29 2.2k 1.5× 374 1.1× 239 1.3× 358 2.6× 275 2.1× 118 2.9k
Keiichi Homma Japan 25 1.0k 0.7× 230 0.7× 85 0.5× 100 0.7× 120 0.9× 70 1.8k

Countries citing papers authored by Tom Smith

Since Specialization
Citations

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

Fields of papers citing papers by Tom Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Smith. A scholar is included among the top collaborators of Tom 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 Tom Smith. Tom 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
1.
Smith, Tom, Shagun Krishna, Rui Guan, et al.. (2025). Industrial and agricultural chemicals exhibit antimicrobial activity against human gut bacteria in vitro. Nature Microbiology. 10(12). 3107–3121.
2.
Villanueva, Eneko, Tom Smith, Mariavittoria Pizzinga, et al.. (2023). System-wide analysis of RNA and protein subcellular localization dynamics. Nature Methods. 21(1). 60–71. 29 indexed citations
3.
Smith, Tom. (2023). Margin Variance Analysis for Informing Customer Engagement Strategy. 1. 1 indexed citations
4.
Kafkia, Eleni, Amparo Andrés‐Pons, Kerstin Ganter, et al.. (2022). Operation of a TCA cycle subnetwork in the mammalian nucleus. Science Advances. 8(35). eabq5206–eabq5206. 48 indexed citations
5.
Smith, Tom, Eneko Villanueva, Rayner M. L. Queiroz, et al.. (2020). Organic phase separation opens up new opportunities to interrogate the RNA-binding proteome. Current Opinion in Chemical Biology. 54. 70–75. 22 indexed citations
6.
Alter, George, H. V. Jagadish, Carl Lagoze, et al.. (2020). Provenance metadata for statistical data: An introduction to Structured Data Transformation Language (SDTL). SHILAP Revista de lepidopterología. 44(4). 2 indexed citations
7.
Villanueva, Eneko, Tom Smith, Rayner M. L. Queiroz, et al.. (2020). Efficient recovery of the RNA-bound proteome and protein-bound transcriptome using phase separation (OOPS). Nature Protocols. 15(8). 2568–2588. 16 indexed citations
8.
Srivastava, Avi, Laraib Malik, Tom Smith, Ian Sudbery, & Rob Patro. (2019). Alevin efficiently estimates accurate gene abundances from dscRNA-seq data. Genome biology. 20(1). 65–65. 140 indexed citations
9.
Queiroz, Rayner M. L., Tom Smith, Eneko Villanueva, et al.. (2019). Comprehensive identification of RNA–protein interactions in any organism using orthogonal organic phase separation (OOPS). Nature Biotechnology. 37(2). 169–178. 236 indexed citations
10.
Geladaki, Aikaterini, Nina Kočevar Britovšek, Lisa M. Breckels, et al.. (2019). Combining LOPIT with differential ultracentrifugation for high-resolution spatial proteomics. Nature Communications. 10(1). 331–331. 133 indexed citations
11.
Cartier, Jessy, Tom Smith, John P. Thomson, et al.. (2018). Investigation into the role of the germline epigenome in the transmission of glucocorticoid-programmed effects across generations. Genome biology. 19(1). 50–50. 18 indexed citations
12.
Smith, Tom, Andreas Heger, & Ian Sudbery. (2017). UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy. Genome Research. 27(3). 491–499. 1166 indexed citations breakdown →
13.
Stamatopoulos, Basile, Adele Timbs, Tom Smith, et al.. (2016). Targeted deep sequencing reveals clinically relevant subclonal IgHV rearrangements in chronic lymphocytic leukemia. Leukemia. 31(4). 837–845. 37 indexed citations
14.
15.
Kuznetsov, F. A., Yuri F. Makogon, George J. Moridis, et al.. (2007). A Hydrate Database: Vital to the Technical Community. Data Science Journal. 6. GH1–GH5. 6 indexed citations
16.
Smith, Tom, et al.. (2005). Trials of labour: Can simulation make a difference to obstetric anaesthetic training?. Current Anaesthesia and Critical Care. 16(5). 289–296. 5 indexed citations
17.
Smith, Tom & Stephen Davies. (2004). Managing University Clinical Partnership. Higher Education Management. 16(2). 63–71. 4 indexed citations
18.
Smith, Tom. (2004). Culture and incentives conducive to quality and safety in health care. BMJ Quality & Safety. 13(4). 317–320. 1 indexed citations
19.
Smith, Tom. (2003). Towards a more responsive health system?. BMJ Quality & Safety. 12(2). 156–158. 1 indexed citations
20.
Smith, Tom. (1978). The Surgical Treatment of Endometriosis. Clinics in Obstetrics and Gynaecology. 5(3). 557–570. 3 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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