Ian Shadforth
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- Photosynthetic Processes and Mechanisms
Papers in
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- Machine Learning in Bioinformatics 2
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- Advanced Proteomics Techniques and Applications 7
- Mass Spectrometry Techniques and Applications 6
- Co-authors
- Conrad Bessant (9 shared papers)Tom Dunkley (3 shared papers)Kathryn S. Lilley (3 shared papers)Sally L. Hanton (1 shared paper)Paul Dupree (1 shared paper)Julian L. Griffin (1 shared paper)Rod B. Watson (1 shared paper)Svenja Hester (1 shared paper)
- Journals
- PROTEOMICS (3 papers)Journal of the American College of Cardiology (1 paper)PLoS ONE (1 paper)Rapid Communications in Mass Spectrometry (1 paper)ERJ Open Research (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Ian Shadforth
14 papers receiving 798 citations
Peers
Comparison fields: 5 of 87
- Spectroscopy 322
- Molecular Biology 563
- Cell Biology 90
- Plant Science 210
- Health Informatics 5
Countries citing papers authored by Ian Shadforth
This map shows the geographic impact of Ian Shadforth'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 Ian Shadforth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Shadforth more than expected).
Fields of papers citing papers by Ian Shadforth
This network shows the impact of papers produced by Ian Shadforth. 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 Ian Shadforth. The network helps show where Ian Shadforth may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Shadforth, 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 | 2006 | 404 | |
| 2 | 2005 | 232 | |
| 3 | 2005 | 46 | |
| 4 | 2006 | 30 | |
| 5 | 2018 | 28 | |
| 6 | 2007 | 26 | |
| 7 | 2005 | 21 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 4 | |
| 10 | 2005 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2006 | 2 | |
| 13 | Building bioinformatics solutions with Perl, R and MySQL | 2009 | 2 |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About Ian Shadforth
Ian Shadforth is a scholar working on Molecular Biology, Spectroscopy, Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 809 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (6 papers), Hemodynamic Monitoring and Therapy (4 papers), Cardiovascular Function and Risk Factors (2 papers), Machine Learning in Bioinformatics (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Spectroscopy (322 citations), Molecular Biology (563 citations), Cell Biology (90 citations), Plant Science (210 citations) and Health Informatics (5 citations). Ian Shadforth has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Conrad Bessant, Tom Dunkley, Kathryn S. Lilley, Sally L. Hanton, Paul Dupree, Julian L. Griffin, Rod B. Watson, Svenja Hester, Federica Brandizzí and Chris Hawes. Their work appears in journals such as PROTEOMICS, Journal of the American College of Cardiology, PLoS ONE, Rapid Communications in Mass Spectrometry and ERJ Open Research.
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.