Matthew Willetts
- Molecular Biology
- Spectroscopy top 10%
- Physiology
- Biomedical Engineering
- Public Health, Environmental and Occupational Health
- Co-authors
- Louis J. M. AslettAiden DohertyNikolai SlavovHarrison SpechtVadim DemichevR. Gray HuffmanAndrew LeducGeorg Wallmann
- Topics
- Big Data and Business Intelligence (10 papers)Competitive and Knowledge Intelligence (5 papers)Advanced Biosensing Techniques and Applications (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Matthew Willetts
13 papers receiving 338 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 126
- Spectroscopy 105
- Physiology 77
- Biomedical Engineering 41
- Public Health, Environmental and Occupational Health 40
Countries citing papers authored by Matthew Willetts
This map shows the geographic impact of Matthew Willetts'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 Matthew Willetts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Willetts more than expected).
Fields of papers citing papers by Matthew Willetts
This network shows the impact of papers produced by Matthew Willetts. 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 Matthew Willetts. The network helps show where Matthew Willetts may publish in the future.
Co-authorship network of co-authors of Matthew Willetts
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Willetts. A scholar is included among the top collaborators of Matthew Willetts 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 Matthew Willetts. Matthew Willetts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | Increasing the throughput of sensitive proteomics by plexDIAbreakdown → | 138 |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 11 | |
| 14 | Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels. | 2 |
| 15 | 156 |
About Matthew Willetts
Matthew Willetts is a scholar working on Management Information Systems, Strategy and Management and Management Science and Operations Research, having authored 15 papers that have together received 339 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (10 papers), Competitive and Knowledge Intelligence (5 papers) and Advanced Biosensing Techniques and Applications (2 papers). The work is most often cited by research in Spectroscopy (105 citations), Management Information Systems (30 citations) and Biophysics (18 citations). Matthew Willetts has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Louis J. M. Aslett, Aiden Doherty, Nikolai Slavov, Harrison Specht, Vadim Demichev, R. Gray Huffman, Andrew Leduc, Georg Wallmann, Saad Khan and Jason Derks. Their work appears in journals such as Nature Biotechnology, Analytical Chemistry and Scientific Reports.
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.