Ian Walsh
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- Spectroscopy top 5%
Papers in
-
- Glycosylation and Glycoproteins Research 17
- Protein Structure and Dynamics 17
- Viral Infectious Diseases and Gene Expression in Insects 12
- Protein purification and stability 7
- Genomics and Phylogenetic Studies 5
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- Monoclonal and Polyclonal Antibodies Research 11
- Co-authors
- Silvio C. E. Tosatto (18 shared papers)Tomás Di Domenico (11 shared papers)Alberto J. M. Martín (12 shared papers)Antonio Trovato (1 shared paper)Flavio Seno (1 shared paper)Gianluca Pollastri (9 shared papers)Alessandro Vullo (6 shared papers)Carlo Ferrari (4 shared papers)
In The Last Decade
Ian Walsh
54 papers receiving 2.5k citations
Ian Walsh's Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 2.1k
- Spectroscopy 196
- Materials Chemistry 438
- Aging 16
- Cell Biology 137
Countries citing papers authored by Ian Walsh
This map shows the geographic impact of Ian Walsh'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 Walsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Walsh more than expected).
Fields of papers citing papers by Ian Walsh
This network shows the impact of papers produced by Ian Walsh. 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 Walsh. The network helps show where Ian Walsh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Walsh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ESpritz: accurate and fast prediction of protein disorder Hit paper breakdown → | 2011 | 410 |
| 2 | 2014 | 361 | |
| 3 | 2014 | 155 | |
| 4 | 2014 | 129 | |
| 5 | 2012 | 119 | |
| 6 | 2011 | 110 | |
| 7 | 2014 | 98 | |
| 8 | 2006 | 76 | |
| 9 | 2011 | 70 | |
| 10 | 2012 | 69 | |
| 11 | 2018 | 68 | |
| 12 | 2018 | 67 | |
| 13 | 2006 | 65 | |
| 14 | 2013 | 55 | |
| 15 | 2022 | 50 | |
| 16 | 2017 | 48 | |
| 17 | 2015 | 48 | |
| 18 | 2009 | 35 | |
| 19 | 2010 | 34 | |
| 20 | 2014 | 33 |
About Ian Walsh
Ian Walsh is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Materials Chemistry and Organic Chemistry, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (17 papers), Protein Structure and Dynamics (17 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Protein purification and stability (7 papers), Enzyme Structure and Function (5 papers), Genomics and Phylogenetic Studies (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Spectroscopy (196 citations), Materials Chemistry (438 citations), Aging (16 citations) and Cell Biology (137 citations). Ian Walsh has collaborated with scholars based in Singapore, Italy and Ireland. Frequent co-authors include Silvio C. E. Tosatto, Tomás Di Domenico, Alberto J. M. Martín, Antonio Trovato, Flavio Seno, Gianluca Pollastri, Alessandro Vullo, Carlo Ferrari, Manuel Giollo and Giovanni Minervini. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Nucleic Acids Research, Biotechnology Journal 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.