Ulla‐Maja Bailey
Impact in
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- Advanced Proteomics Techniques and Applications
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- Glycosylation and Glycoproteins Research
- Fungal and yeast genetics research
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
Papers in
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- Advanced Proteomics Techniques and Applications 3
- Analytical Chemistry and Chromatography 1
- Co-authors
- Benjamin L. SchulzM. Fairuz B. JamaluddinYing XuShafi MahmudAndreas HofmannRobin B. GasserNeil D. YoungPaul Taylor
- Journals
- Journal of Chromatography B (2 papers)Biochemical and Biophysical Research Communications (2 papers)FEBS Journal (1 paper)PROTEOMICS (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- AustraliaUnited KingdomGermany
In The Last Decade
Ulla‐Maja Bailey
16 papers receiving 242 citations
Peers
Comparison fields: 5 of 57
- Spectroscopy 56
- Molecular Biology 177
- Biotechnology 17
- Parasitology 10
- Immunology 32
Countries citing papers authored by Ulla‐Maja Bailey
This map shows the geographic impact of Ulla‐Maja Bailey'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 Ulla‐Maja Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulla‐Maja Bailey more than expected).
Fields of papers citing papers by Ulla‐Maja Bailey
This network shows the impact of papers produced by Ulla‐Maja Bailey. 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 Ulla‐Maja Bailey. The network helps show where Ulla‐Maja Bailey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ulla‐Maja Bailey, 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 | 2020 | 3 | |
| 2 | 2016 | 6 | |
| 3 | 2015 | 11 | |
| 4 | 2015 | 13 | |
| 5 | 2015 | 66 | |
| 6 | 2014 | 3 | |
| 7 | 2014 | 8 | |
| 8 | 2014 | 11 | |
| 9 | 2014 | 33 | |
| 10 | 2014 | 1 | |
| 11 | 2013 | 12 | |
| 12 | 2013 | 4 | |
| 13 | 2013 | 13 | |
| 14 | 2012 | 1 | |
| 15 | 2012 | 41 | |
| 16 | 2011 | 19 |
About Ulla‐Maja Bailey
Ulla‐Maja Bailey is a scholar working on Spectroscopy, Periodontics, Molecular Biology, Endocrinology and Immunology, having authored 16 papers that have together received 245 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Galectins and Cancer Biology (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Carbohydrate Chemistry and Synthesis (2 papers), Machine Learning in Bioinformatics (2 papers), Ubiquitin and proteasome pathways (2 papers), Bacteriophages and microbial interactions (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Spectroscopy (56 citations), Molecular Biology (177 citations), Biotechnology (17 citations), Parasitology (10 citations) and Immunology (32 citations). Ulla‐Maja Bailey has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Benjamin L. Schulz, M. Fairuz B. Jamaluddin, Ying Xu, Shafi Mahmud, Andreas Hofmann, Robin B. Gasser, Neil D. Young, Paul Taylor, Kate L. Fox and Michael P. Jennings. Their work appears in journals such as Journal of Chromatography B, Biochemical and Biophysical Research Communications, FEBS Journal, PROTEOMICS and Journal of Proteome 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.