Douglas B. Kell
Impact in
- Molecular Biology top 0.05%
- Metabolomics and Mass Spectrometry Studies
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Biophysics top 0.05%
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 82
- Metabolomics and Mass Spectrometry Studies 71
- Lipid Membrane Structure and Behavior 33
- Bioinformatics and Genomic Networks 26
- Gene Regulatory Network Analysis 24
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- Microfluidic and Bio-sensing Technologies 36
- Co-authors
- Etheresia Pretorius (70 shared papers)Royston Goodacre (64 shared papers)David Broadhurst (33 shared papers)Arseny S. Kaprelyants (25 shared papers)Warwick B. Dunn (37 shared papers)Stephen G. Oliver (27 shared papers)Hazel M. Davey (17 shared papers)Joshua Knowles (21 shared papers)
- Journals
- Trends in biotechnology (16 papers)Metabolomics (15 papers)Bioinformatics (14 papers)Analytical Chemistry (12 papers)Biochemical Society Transactions (12 papers)
- Partner nations
- United KingdomDenmarkSouth Africa
In The Last Decade
Douglas B. Kell
554 papers receiving 39.6k citations
Douglas B. Kell's Hit Papers
Peers
Comparison fields: 5 of 227
- Molecular Biology 21.0k
- Biophysics 1.6k
- Analytical Chemistry 2.5k
- Spectroscopy 3.3k
- Endocrinology 908
Countries citing papers authored by Douglas B. Kell
This map shows the geographic impact of Douglas B. Kell'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 Douglas B. Kell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas B. Kell more than expected).
Fields of papers citing papers by Douglas B. Kell
This network shows the impact of papers produced by Douglas B. Kell. 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 Douglas B. Kell. The network helps show where Douglas B. Kell may publish in the future.
Co-authors
The 25 scholars most cited alongside Douglas B. Kell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 565 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry Hit paper breakdown → | 2011 | 2381 |
| 2 | Oscillations in NF-κB Signaling Control the Dynamics of Gene Expression Hit paper breakdown → | 2004 | 964 |
| 3 | Metabolomics by numbers: acquiring and understanding global metabolite data Hit paper breakdown → | 2004 | 912 |
| 4 | A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations Hit paper breakdown → | 2001 | 770 |
| 5 | The passive electrical properties of biological systems: their significance in physiology, biophysics and biotechnology Hit paper breakdown → | 1987 | 640 |
| 6 | Computational cluster validation in post-genomic data analysis Hit paper breakdown → | 2005 | 628 |
| 7 | Statistical strategies for avoiding false discoveries in metabolomics and related experiments Hit paper breakdown → | 2006 | 617 |
| 8 | Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses Hit paper breakdown → | 1996 | 609 |
| 9 | Development of a Robust and Repeatable UPLC−MS Method for the Long-Term Metabolomic Study of Human Serum Hit paper breakdown → | 2009 | 561 |
| 10 | Non-linear optimization of biochemical pathways: applications to metabolic engineering and parameter estimation. Hit paper breakdown → | 1998 | 529 |
| 11 | Serum ferritin is an important inflammatory disease marker, as it is mainly a leakage product from damaged cells Hit paper breakdown → | 2014 | 472 |
| 12 | 1998 | 458 | |
| 13 | 2009 | 446 | |
| 14 | Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases Hit paper breakdown → | 2009 | 446 |
| 15 | 2003 | 417 | |
| 16 | 1988 | 399 | |
| 17 | 2004 | 395 | |
| 18 | 2003 | 374 | |
| 19 | 2004 | 372 | |
| 20 | 1989 | 363 |
About Douglas B. Kell
Douglas B. Kell is a scholar working on Molecular Biology, Biomedical Engineering, Analytical Chemistry, Spectroscopy and Genetics, having authored 565 papers that have together received 41.0k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (82 papers), Metabolomics and Mass Spectrometry Studies (71 papers), Spectroscopy and Chemometric Analyses (46 papers), Microfluidic and Bio-sensing Technologies (36 papers), Lipid Membrane Structure and Behavior (33 papers), Bioinformatics and Genomic Networks (26 papers), Gene Regulatory Network Analysis (24 papers) and Computational Drug Discovery Methods (22 papers). The work is most often cited by research in Molecular Biology (21.0k citations), Biophysics (1.6k citations), Analytical Chemistry (2.5k citations), Spectroscopy (3.3k citations) and Endocrinology (908 citations). Douglas B. Kell has collaborated with scholars based in United Kingdom, Denmark and South Africa. Frequent co-authors include Etheresia Pretorius, Royston Goodacre, David Broadhurst, Arseny S. Kaprelyants, Warwick B. Dunn, Stephen G. Oliver, Hazel M. Davey, Joshua Knowles, Jem J. Rowland and Pedro Mendes. Their work appears in journals such as Trends in biotechnology, Metabolomics, Bioinformatics, Analytical Chemistry and Biochemical Society Transactions.
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.