Neil Thomas

1.6k total citations
9 papers, 157 citations indexed

About

Neil Thomas is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Neil Thomas has authored 9 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Neil Thomas's work include Protein Structure and Dynamics (2 papers), RNA regulation and disease (2 papers) and RNA and protein synthesis mechanisms (2 papers). Neil Thomas is often cited by papers focused on Protein Structure and Dynamics (2 papers), RNA regulation and disease (2 papers) and RNA and protein synthesis mechanisms (2 papers). Neil Thomas collaborates with scholars based in United Kingdom, United States and China. Neil Thomas's co-authors include P. A. Jacobs, Nicholas R. Dennis, Rowena S. James, Andrew J. Sharp, Brian Coppin, Yun S. Song, Sergey Ovchinnikov, Nicholas Bhattacharya, Roshan Rao and Justas Dauparas and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

Neil Thomas

9 papers receiving 147 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neil Thomas United Kingdom	6	79	79	20	9	9	9	157
Yasmin Bylstra Singapore	7	96 1.2×	44 0.6×	75 3.8×	9 1.0×		18	181
Sandra Rojo France	4	147 1.9×	155 2.0×	11 0.6×	8 0.9×	10 1.1×	6	200
Margit Heiske France	8	122 1.5×	50 0.6×	11 0.6×	3 0.3×		14	215
Samantha L.P. Schilit United States	6	89 1.1×	64 0.8×	18 0.9×	19 2.1×		13	151
Denilce R. Sumita Brazil	5	121 1.5×	111 1.4×	9 0.5×	32 3.6×	3 0.3×	13	171
Manfred N. Hochmeister Switzerland	7	129 1.6×	155 2.0×	65 3.3×	5 0.6×	2 0.2×	9	295
Laurence Stouvenel France	7	49 0.6×	40 0.5×	16 0.8×	13 1.4×	2 0.2×	9	176
Yajie Zhao United Kingdom	6	80 1.0×	53 0.7×	35 1.8×	6 0.7×	2 0.2×	13	140
Yirong Shi China	7	134 1.7×	69 0.9×	32 1.6×	4 0.4×	3 0.3×	10	206
Sarah M. Brotman United States	5	41 0.5×	68 0.9×	23 1.1×	11 1.2×	1 0.1×	6	105

Countries citing papers authored by Neil Thomas

Since Specialization

Citations

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

Fields of papers citing papers by Neil Thomas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Thomas

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Thomas, Neil, David Belanger, Chenling Xu, et al.. (2025). Engineering highly active nuclease enzymes with machine learning and high-throughput screening. Cell Systems. 16(3). 101236–101236. 6 indexed citations

2.

Yu, Jing, Ana Lisa Taylor Tavares, Woolf T. Walker, et al.. (2023). Use of genome sequencing to hunt for cryptic second-hit variants: analysis of 31 cases recruited to the 100 000 Genomes Project. Journal of Medical Genetics. 60(12). 1235–1244. 4 indexed citations

3.

Fan, Shaohua, Jeffrey P. Spence, Yuanqing Feng, et al.. (2023). Whole-genome sequencing reveals a complex African population demographic history and signatures of local adaptation. Cell. 186(5). 923–939.e14. 44 indexed citations

4.

Bhattacharya, Nicholas, Roshan Rao, Justas Dauparas, et al.. (2022). End-to-end learning of multiple sequence alignments with differentiable Smith–Waterman. Bioinformatics. 39(1). 21 indexed citations

5.

McInnes, Gregory, Julia E. H. Brown, Neil Thomas, et al.. (2022). Functional genomics of OCTN2 variants informs protein-specific variant effect predictor for Carnitine Transporter Deficiency. Proceedings of the National Academy of Sciences. 119(46). e2210247119–e2210247119. 12 indexed citations

6.

Bhattacharya, Nicholas, Neil Thomas, Roshan Rao, et al.. (2021). Interpreting Potts and Transformer Protein Models Through the Lens of Simplified Attention. PubMed. 27. 34–45. 15 indexed citations

7.

Oates, Emily C., Sandra Coppens, Madhura Bakshi, et al.. (2018). CONGENITAL MYOPATHIES: NEMALINE AND TITINOPATHIES. Neuromuscular Disorders. 28. S104–S104. 1 indexed citations

8.

James, Rowena S., Brian Coppin, Nicholas R. Dennis, et al.. (1998). A study of females with deletions of the short arm of the X chromosome. Human Genetics. 102(5). 507–516. 50 indexed citations

9.

Dewar, Jane, Amanda Wheatley, Jane Wilkinson, et al.. (1997). Association of the Gln 27 β2-Adrenoceptor Polymorphism and IgE Variability in Asthmatic Families. CHEST Journal. 111(6). 78S–79S. 4 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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