James L. Melville
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- Computational Drug Discovery Methods 9
- Electrochemistry top 5%
- Electrochemical Analysis and Applications 6
- Bioengineering top 10%
- Analytical Chemistry and Sensors 3
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- Protein Structure and Dynamics 3
- Metabolomics and Mass Spectrometry Studies 3
- Chemical Synthesis and Analysis 2
- Machine Learning in Bioinformatics 2
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- Electrohydrodynamics and Fluid Dynamics 2
- Co-authors
- Jonathan D. HirstEdmund BurkeMark MackeyRichard G. ComptonStephen D. PickettJeremy G. VinterJoanna L. HardcastleBarry Lygo
- Journals
- Journal of Chemical Information and Modeling (6 papers)The Journal of Physical Chemistry B (3 papers)Chemical Communications (1 paper)
- Partner nations
- United KingdomGermany
In The Last Decade
James L. Melville
23 papers receiving 750 citations
Peers
Comparison fields: 5 of 102
- Computational Theory and Mathematics 422
- Electrochemistry 89
- Bioengineering 43
- Molecular Biology 378
- Pharmacology 77
Countries citing papers authored by James L. Melville
This map shows the geographic impact of James L. Melville'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 James L. Melville with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James L. Melville more than expected).
Fields of papers citing papers by James L. Melville
This network shows the impact of papers produced by James L. Melville. 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 James L. Melville. The network helps show where James L. Melville may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James L. Melville, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction [R package uwot version 0.1.10] | 2020 | 8 |
| 2 | 2009 | 12 | |
| 3 | 2009 | 150 | |
| 4 | 2009 | 48 | |
| 5 | 2009 | 45 | |
| 6 | 2008 | 95 | |
| 7 | 2007 | 4 | |
| 8 | 2007 | 26 | |
| 9 | 2007 | 109 | |
| 10 | 2006 | 23 | |
| 11 | 2006 | 10 | |
| 12 | 2005 | 43 | |
| 13 | 2005 | 1 | |
| 14 | 2004 | 20 | |
| 15 | 2002 | 18 | |
| 16 | 2002 | 13 | |
| 17 | 2002 | 23 | |
| 18 | 2001 | 4 | |
| 19 | 2001 | 11 | |
| 20 | 2000 | 29 |
About James L. Melville
James L. Melville is a scholar working on Electrochemistry, Computational Theory and Mathematics, Bioengineering, Filtration and Separation and Molecular Biology, having authored 23 papers that have together received 775 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Electrochemical Analysis and Applications (6 papers), Protein Structure and Dynamics (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Analytical Chemistry and Sensors (3 papers), Chemical Synthesis and Analysis (2 papers), Machine Learning in Bioinformatics (2 papers) and Electrohydrodynamics and Fluid Dynamics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (422 citations), Electrochemistry (89 citations), Bioengineering (43 citations), Molecular Biology (378 citations) and Pharmacology (77 citations). James L. Melville has collaborated with scholars based in United Kingdom and Germany. Frequent co-authors include Jonathan D. Hirst, Edmund Burke, Mark Mackey, Richard G. Compton, Stephen D. Pickett, Jeremy G. Vinter, Joanna L. Hardcastle, Barry Lygo, Patrick R. Unwin and Barry A. Coles. Their work appears in journals such as Journal of Chemical Information and Modeling, The Journal of Physical Chemistry B, Chemical Communications, Tetrahedron Letters and Journal of Electroanalytical Chemistry.
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.