Desmond G. Higgins
- Molecular Biology top 0.01%
- Genomics and Phylogenetic Studies 58
- RNA and protein synthesis mechanisms 31
- Machine Learning in Bioinformatics 19
- RNA modifications and cancer 14
- Gene expression and cancer classification 13
- Glycosylation and Glycoproteins Research 11
- Protein Structure and Dynamics 8
- Endocrinology top 0.02%
- Plant Science top 0.01%
- Ecology top 0.01%
- Bacteriophages and microbial interactions 8
- Parasitology top 0.05%
- Co-authors
- Toby J. GibsonJulie ThompsonAndreas WilmHamish McWilliamRodrigo LópezFabian SieversPaul M. SharpCédric Notredame
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (10 papers)
- Partner nations
- IrelandUnited StatesGermany
In The Last Decade
Desmond G. Higgins
131 papers receiving 117.4k citations
Hit Papers
Peers
Comparison fields: 5 of 215
- Molecular Biology 67.4k
- Endocrinology 3.8k
- Plant Science 26.7k
- Ecology 17.6k
- Parasitology 4.2k
Countries citing papers authored by Desmond G. Higgins
This map shows the geographic impact of Desmond G. Higgins'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 Desmond G. Higgins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Desmond G. Higgins more than expected).
Fields of papers citing papers by Desmond G. Higgins
This network shows the impact of papers produced by Desmond G. Higgins. 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 Desmond G. Higgins. The network helps show where Desmond G. Higgins may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Desmond G. Higgins, 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 | 2023 | 8 | |
| 2 | 2019 | 16 | |
| 3 | Clustal Omega for making accurate alignments of many protein sequencesbreakdown → | 2017 | 1271 |
| 4 | 2015 | 24 | |
| 5 | 2014 | 20 | |
| 6 | 2014 | 94 | |
| 7 | 2013 | 71 | |
| 8 | 2012 | 71 | |
| 9 | 2008 | 71 | |
| 10 | 2008 | 55 | |
| 11 | Clustal W and Clustal X version 2.0breakdown → | 2007 | 23845 |
| 12 | 2007 | 95 | |
| 13 | 2003 | 40 | |
| 14 | 2002 | 189 | |
| 15 | Bioinformatics: Sequence, Structure, and Databanks: A Practical Approach | 2000 | 12 |
| 16 | 2000 | 4 | |
| 17 | 1999 | 2 | |
| 18 | CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choicebreakdown → | 1994 | 56835 |
| 19 | 1993 | 54 | |
| 20 | Four additions to the Irish spider (Araneae) fauna. | 1990 | 1 |
About Desmond G. Higgins
Desmond G. Higgins is a scholar working on Molecular Biology, Hepatology and Cancer Research, having authored 132 papers that have together received 120.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (58 papers), RNA and protein synthesis mechanisms (31 papers), Machine Learning in Bioinformatics (19 papers), RNA modifications and cancer (14 papers), Gene expression and cancer classification (13 papers), Glycosylation and Glycoproteins Research (11 papers), Protein Structure and Dynamics (8 papers) and Bacteriophages and microbial interactions (8 papers). The work is most often cited by research in Molecular Biology (67.4k citations), Endocrinology (3.8k citations) and Plant Science (26.7k citations). Desmond G. Higgins has collaborated with scholars based in Ireland, United States and Germany. Frequent co-authors include Toby J. Gibson, Julie Thompson, Andreas Wilm, Hamish McWilliam, Rodrigo López, Fabian Sievers, Paul M. Sharp, Cédric Notredame, Iain M. Wallace and Gordon Blackshields. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids 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.