Daniel Buchan

9.4k total citations · 3 hit papers
24 papers, 3.5k citations indexed

About

Daniel Buchan is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Daniel Buchan has authored 24 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 5 papers in Materials Chemistry and 4 papers in Spectroscopy. Recurrent topics in Daniel Buchan's work include Machine Learning in Bioinformatics (13 papers), Genomics and Phylogenetic Studies (11 papers) and Protein Structure and Dynamics (8 papers). Daniel Buchan is often cited by papers focused on Machine Learning in Bioinformatics (13 papers), Genomics and Phylogenetic Studies (11 papers) and Protein Structure and Dynamics (8 papers). Daniel Buchan collaborates with scholars based in United Kingdom, Malaysia and United States. Daniel Buchan's co-authors include David T. Jones, Kevin Bryson, Federico Minneci, Domenico Cozzetto, Massimiliano Pontil, Christine Orengo, Anna Lobley, Janet M. Thornton, Frances M. G. Pearl and Juan A. G. Ranea and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Daniel Buchan

23 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Scalable web services for the PSIPRED Protein Analysis Workbench

2013 1.1k citations Daniel Buchan, Federico Minneci et al. Nucleic Acids Research profile →
The PSIPRED Protein Analysis Workbench: 20 years on

2019 957 citations Daniel Buchan, David T. Jones Nucleic Acids Research profile →
PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments

2011 550 citations David T. Jones, Daniel Buchan et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Buchan United Kingdom	16	2.8k	424	365	282	240	24	3.5k
Jaap Heringa Netherlands	33	2.9k 1.0×	417 1.0×	463 1.3×	226 0.8×	215 0.9×	103	3.7k
Kentaro Tomii Japan	27	2.9k 1.0×	368 0.9×	274 0.8×	508 1.8×	302 1.3×	77	3.9k
Catherine H. Schein United States	34	2.0k 0.7×	229 0.5×	479 1.3×	186 0.7×	261 1.1×	113	3.7k
Ezgi Karaca Türkiye	20	2.3k 0.8×	417 1.0×	247 0.7×	116 0.4×	133 0.6×	44	3.0k
Adrien S. J. Melquiond Netherlands	19	2.4k 0.9×	381 0.9×	226 0.6×	134 0.5×	125 0.5×	23	3.2k
Bartek Wilczyński Poland	14	3.5k 1.3×	224 0.5×	587 1.6×	547 1.9×	482 2.0×	36	4.5k
Enrique Querol Spain	32	2.5k 0.9×	503 1.2×	230 0.6×	299 1.1×	277 1.2×	155	3.7k
Yael Mandel‐Gutfreund Israel	30	2.8k 1.0×	318 0.8×	206 0.6×	197 0.7×	306 1.3×	70	3.4k
Marc Leibundgut Switzerland	33	4.1k 1.5×	404 1.0×	396 1.1×	174 0.6×	301 1.3×	46	4.9k
Mikaël Trellet Netherlands	16	2.2k 0.8×	264 0.6×	247 0.7×	121 0.4×	141 0.6×	20	3.1k

Countries citing papers authored by Daniel Buchan

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Buchan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Buchan

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Buchan. A scholar is included among the top collaborators of Daniel Buchan 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 Daniel Buchan. Daniel Buchan 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:

20 of 20 papers shown

Kandathil, Shaun M., Andy M. Lau, Daniel Buchan, & David T. Jones. (2025). Foldclass and Merizo-search: scalable structural similarity search for single- and multi-domain proteins using geometric learning. Bioinformatics. 41(5).

Buchan, Daniel, et al.. (2023). Improving cell type identification with Gaussian noise-augmented single-cell RNA-seq contrastive learning. Briefings in Functional Genomics. 23(4). 441–451. 2 indexed citations

Kothari, Radha, et al.. (2022). Locked Up and Locked Down: How the Covid-19 Pandemic has Impacted the Mental Health of Male Prisoners and Support Staff. SHILAP Revista de lepidopterología. 18(6). 1–1. 6 indexed citations

Buchan, Daniel & David T. Jones. (2019). Learning a functional grammar of protein domains using natural language word embedding techniques. Proteins Structure Function and Bioinformatics. 88(4). 616–624. 18 indexed citations

Buchan, Daniel & David T. Jones. (2019). The PSIPRED Protein Analysis Workbench: 20 years on. Nucleic Acids Research. 47(W1). W402–W407. 957 indexed citations breakdown →

Sillitoe, Ian, Antonina Andreeva, Tom L. Blundell, et al.. (2019). Genome3D: integrating a collaborative data pipeline to expand the depth and breadth of consensus protein structure annotation. Nucleic Acids Research. 48(D1). D314–D319. 7 indexed citations

Kościółek, Tomasz, Daniel Buchan, & David T. Jones. (2017). Predictions of Backbone Dynamics in Intrinsically Disordered Proteins Using De Novo Fragment-Based Protein Structure Predictions. Scientific Reports. 7(1). 6999–6999. 11 indexed citations

Buchan, Daniel & David T. Jones. (2017). EigenTHREADER: analogous protein fold recognition by efficient contact map threading. Bioinformatics. 33(17). 2684–2690. 41 indexed citations

Buchan, Daniel & David T. Jones. (2017). Improved protein contact predictions with the MetaPSICOV2 server in CASP12. Proteins Structure Function and Bioinformatics. 86(S1). 78–83. 44 indexed citations

10.

Cozzetto, Domenico, Daniel Buchan, Kevin Bryson, & David T. Jones. (2013). Protein function prediction by massive integration of evolutionary analyses and multiple data sources. BMC Bioinformatics. 14(S3). S1–S1. 71 indexed citations

11.

Buchan, Daniel, et al.. (2013). Scalable web services for the PSIPRED Protein Analysis Workbench. Nucleic Acids Research. 41(W1). W349–W357. 1088 indexed citations breakdown →

12.

Jones, David T., Daniel Buchan, Domenico Cozzetto, & Massimiliano Pontil. (2011). PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments. Bioinformatics. 28(2). 184–190. 550 indexed citations breakdown →

13.

Lise, Stefano, Daniel Buchan, Massimiliano Pontil, & David T. Jones. (2011). Predictions of Hot Spot Residues at Protein-Protein Interfaces Using Support Vector Machines. PLoS ONE. 6(2). e16774–e16774. 57 indexed citations

14.

Buchan, Daniel, et al.. (2010). Protein annotation and modelling servers at University College London. Nucleic Acids Research. 38(Web Server). W563–W568. 295 indexed citations

15.

Ranea, Juan A. G., Daniel Buchan, Janet M. Thornton, & Christine Orengo. (2004). Evolution of Protein Superfamilies and Bacterial Genome Size. Journal of Molecular Biology. 336(4). 871–887. 85 indexed citations

16.

Lee, David, et al.. (2003). A structural perspective on genome evolution. Current Opinion in Structural Biology. 13(3). 359–369. 18 indexed citations

17.

Buchan, Daniel. (2003). Gene3D: structural assignments for the biologist and bioinformaticist alike. Nucleic Acids Research. 31(1). 469–473. 21 indexed citations

18.

Buchan, Daniel, Adrian J. Shepherd, Frances M. G. Pearl, et al.. (2002). Gene3D: Structural Assignment for Whole Genes and Genomes Using the CATH Domain Structure Database. Genome Research. 12(3). 503–514. 52 indexed citations

19.

Pearl, Frances M. G., David Lee, James E. Bray, et al.. (2002). The CATH extended protein‐family database: Providing structural annotations for genome sequences. Protein Science. 11(2). 233–244. 41 indexed citations

20.

Orengo, Christine, James E. Bray, Daniel Buchan, et al.. (2002). The CATH protein family database: A resource for structural and functional annotation of genomes. PROTEOMICS. 2(1). 11–21. 69 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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