Daniel Crowther

1.3k total citations
27 papers, 1000 citations indexed

About

Daniel Crowther is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Daniel Crowther has authored 27 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 7 papers in Spectroscopy and 2 papers in Computational Theory and Mathematics. Recurrent topics in Daniel Crowther's work include Bioinformatics and Genomic Networks (9 papers), Advanced Proteomics Techniques and Applications (6 papers) and Mass Spectrometry Techniques and Applications (5 papers). Daniel Crowther is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Advanced Proteomics Techniques and Applications (6 papers) and Mass Spectrometry Techniques and Applications (5 papers). Daniel Crowther collaborates with scholars based in United Kingdom, Germany and United States. Daniel Crowther's co-authors include Paul A. Wilson, Stéphane Commans, Scott D. Gardner, Ian Shadforth, Conrad Bessant, Susan C. Connor, Brian C. Sweatman, Wen Wu, John N. Haselden and Clifford J. Woolf and has published in prestigious journals such as Bioinformatics, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Daniel Crowther

26 papers receiving 985 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Crowther United Kingdom 15 600 191 164 156 149 27 1000
Bernard P. Kok United States 15 681 1.1× 186 1.0× 41 0.3× 56 0.4× 110 0.7× 23 1.1k
Lucy Martine France 24 700 1.2× 120 0.6× 74 0.5× 20 0.1× 48 0.3× 55 1.4k
Santosh Lamichhane Finland 23 825 1.4× 286 1.5× 82 0.5× 14 0.1× 80 0.5× 52 1.4k
James G. Burchfield Australia 24 1.1k 1.9× 523 2.7× 87 0.5× 13 0.1× 193 1.3× 51 1.7k
Tae-Il Jeon United States 9 442 0.7× 85 0.4× 11 0.1× 157 1.0× 174 1.2× 9 993
Paul E. Wolkowicz United States 17 456 0.8× 138 0.7× 19 0.1× 38 0.2× 43 0.3× 49 816
Subbiah Ramasamy India 16 595 1.0× 150 0.8× 10 0.1× 129 0.8× 92 0.6× 39 1.0k
Dev K. Singh United States 16 458 0.8× 76 0.4× 22 0.1× 30 0.2× 26 0.2× 25 855
Maria Lisa Garavaglia Italy 17 370 0.6× 111 0.6× 16 0.1× 37 0.2× 44 0.3× 36 827
Alan Bohrer United States 28 1.2k 2.0× 365 1.9× 246 1.5× 12 0.1× 98 0.7× 40 2.2k

Countries citing papers authored by Daniel Crowther

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Crowther

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Crowther

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Crowther. A scholar is included among the top collaborators of Daniel Crowther 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 Crowther. Daniel Crowther 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.
Crowther, Daniel, et al.. (2023). A publication-wide association study (PWAS), historical language models to prioritise novel therapeutic drug targets. Scientific Reports. 13(1). 8366–8366. 4 indexed citations
2.
Crowther, Daniel, et al.. (2021). TrendyGenes, a computational pipeline for the detection of literature trends in academia and drug discovery. Scientific Reports. 11(1). 15747–15747. 6 indexed citations
3.
Morine, Melissa J., Ozan Kahramanoğulları, Suryaprakash Raichur, et al.. (2017). Mechanistic interplay between ceramide and insulin resistance. Scientific Reports. 7(1). 41231–41231. 42 indexed citations
4.
Mudaliar, Manikhandan, C. Roland Wolf, Gino Miele, et al.. (2012). Simultaneous Non-Negative Matrix Factorization for Multiple Large Scale Gene Expression Datasets in Toxicology. PLoS ONE. 7(12). e48238–e48238. 14 indexed citations
5.
Kennedy, Laura, J. W. Howie, Daniel Crowther, et al.. (2011). Global Array-Based Transcriptomics from Minimal Input RNA Utilising an Optimal RNA Isolation Process Combined with SPIA cDNA Probes. PLoS ONE. 6(3). e17625–e17625. 3 indexed citations
6.
Ratkevičius, Aivaras, Anu Joyson, Inger-Sofie Selmer, et al.. (2011). Serum Concentrations of Myostatin and Myostatin-Interacting Proteins Do Not Differ Between Young and Sarcopenic Elderly Men. The Journals of Gerontology Series A. 66A(6). 620–626. 84 indexed citations
7.
Vass, J. Keith, Desmond J. Higham, Manikhandan Mudaliar, Xuerong Mao, & Daniel Crowther. (2011). Discretization Provides a Conceptually Simple Tool to Build Expression Networks. PLoS ONE. 6(4). e18634–e18634. 7 indexed citations
8.
Afzal, Vackar, et al.. (2011). PChopper: high throughput peptide prediction for MRM/SRM transition design. BMC Bioinformatics. 12(1). 338–338. 2 indexed citations
9.
Afzal, Vackar, et al.. (2011). LimsPortal and BonsaiLIMS: development of a lab information management system for translational medicine. PubMed. 6(1). 9–9. 3 indexed citations
10.
Higham, Desmond J., et al.. (2010). NON-NEGATIVE MATRIX FACTORISATION FOR NETWORK REORDERING. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 33(33). 39–53.
11.
Wilson, Paul A., et al.. (2006). Characterization of the human patatin-like phospholipase family. Journal of Lipid Research. 47(9). 1940–1949. 229 indexed citations
12.
Shadforth, Ian, Daniel Crowther, & Conrad Bessant. (2005). Protein and peptide identification algorithms using MS for use in high‐throughput, automated pipelines. PROTEOMICS. 5(16). 4082–4095. 46 indexed citations
13.
Lewis, Alan P. & Daniel Crowther. (2005). DING proteins are fromPseudomonas. FEMS Microbiology Letters. 252(2). 215–222. 21 indexed citations
14.
Shadforth, Ian, Kieran Todd, Daniel Crowther, & Conrad Bessant. (2005). Determination of partial amino acid composition from tandem mass spectra for use in peptide identification strategies. PROTEOMICS. 5(7). 1787–1796. 3 indexed citations
15.
Shadforth, Ian, Tom Dunkley, Kathryn S. Lilley, Daniel Crowther, & Conrad Bessant. (2005). Confident protein identification using the average peptide score method coupled with search‐specific, ab initio thresholds. Rapid Communications in Mass Spectrometry. 19(22). 3363–3368. 21 indexed citations
16.
Connor, Susan C., Wen Wu, Brian C. Sweatman, et al.. (2004). Effects of feeding and body weight loss on the1H-NMR-based urine metabolic profiles of male Wistar Han Rats: Implications for biomarker discovery. Biomarkers. 9(2). 156–179. 89 indexed citations
17.
Crowther, Daniel. (2002). Applications of microarrays in the pharmaceutical industry. Current Opinion in Pharmacology. 2(5). 551–554. 14 indexed citations
18.
Facer, P., Christopher Plumpton, Chee Gee See, et al.. (2001). Identification and characterization of a novel human vanilloid receptor-like protein, VRL-2. Physiological Genomics. 4(3). 165–174. 190 indexed citations
19.
Kent, Nicholas A., Jimmy S. H. Tsang, Daniel Crowther, & Jane Mellor. (1994). Chromatin Structure Modulation in Saccharomyces cerevisiae by Centromere and Promoter Factor 1. Molecular and Cellular Biology. 14(8). 5229–5241. 12 indexed citations
20.
Kent, Nicholas A., J. Tsang, Daniel Crowther, & Jane Mellor. (1994). Chromatin structure modulation in Saccharomyces cerevisiae by centromere and promoter factor 1.. Molecular and Cellular Biology. 14(8). 5229–5241. 36 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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