Ian Shadforth

1.1k citations
21 papers · 884 · h-index 8

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Metabolomics and Mass Spectrometry Studies
    • Photosynthetic Processes and Mechanisms

Papers in

    • Advanced Proteomics Techniques and Applications 8
    • Mass Spectrometry Techniques and Applications 7
    • Machine Learning in Bioinformatics 2

Ian Shadforth

17 papers receiving 868 citations

Peers

Ian Shadforth
Comparison fields: 5 of 91
  • Spectroscopy 351
  • Molecular Biology 612
  • Plant Science 235
  • Cell Biology 95
  • Biochemistry 25
Replace Kai A. Reidegeld with:
Kai A. Reidegeld Germany
Harald Marx Germany
Petri Kouvonen Finland
Shane L. Hubler United States
Danny Asher Bitton United Kingdom
Pavel V. Shliaha United Kingdom
Jérôme Garin France
Xiaofeng Shi United States
Thomas Dalik Austria
Guy Oshiro United States
Ian Shadforth relative to Kai A. Reidegeld Germany Kai A. Reidegeld's profile →
Citations per field
00.5×1.5×2×2.3×
Kai A. Reidegeld · 1×
Citations per year

Countries citing papers authored by Ian Shadforth

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ian Shadforth Line = papers co-authored together Ian Shadforth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006450
2 2005241
3 200548
4 200634
5 200728
6 201828
7 200522
8 202410
9 20225
10 20244
11 20053
12 20062
13
Building bioinformatics solutions with Perl, R and MySQL
20092
14 20232
15 20061
16 20241
17 20241
18 20251
19 20241
20 20140

About Ian Shadforth

Ian Shadforth is a scholar working on Spectroscopy, Molecular Biology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 21 papers that have together received 884 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (7 papers), Hemodynamic Monitoring and Therapy (4 papers), Cardiac Imaging and Diagnostics (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), Cardiovascular Function and Risk Factors (2 papers), Machine Learning in Bioinformatics (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Spectroscopy (351 citations), Molecular Biology (612 citations), Plant Science (235 citations), Cell Biology (95 citations) and Biochemistry (25 citations). Ian Shadforth has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Conrad Bessant, Kathryn Susan Lilley, Tom P. J. Dunkley, Paul Dupree, John Runions, Sally L. Hanton, Svenja Hester, Julian Leether Griffin, Rod B. Watson and Federica Brandizzí. Their work appears in journals such as PROTEOMICS, Frontiers in Cardiovascular Medicine, ERJ Open Research, Journal of Proteome Research and Journal of Visualized Experiments.

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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