Alex Bateman
Impact in
- Molecular Biology top 0.01%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Endocrinology top 0.1%
Papers in
-
- Genomics and Phylogenetic Studies 58
- RNA and protein synthesis mechanisms 42
- Machine Learning in Bioinformatics 36
- Protein Structure and Dynamics 29
- RNA modifications and cancer 16
- Genetics 23
- Bacterial Genetics and Biotechnology 15
- Co-authors
- ROBERT FINN (35 shared papers)Sean R. Eddy (17 shared papers)Jaina Mistry (11 shared papers)Erik L. L. Sonnhammer (8 shared papers)John Tate (9 shared papers)Neil D. Rawlings (14 shared papers)Marco Punta (10 shared papers)A. John Barrett (7 shared papers)
- Journals
- Nucleic Acids Research (35 papers)Bioinformatics (13 papers)BMC Bioinformatics (11 papers)Current Protocols in Bioinformatics (8 papers)Trends in Biochemical Sciences (7 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Alex Bateman
158 papers receiving 56.6k citations
Alex Bateman's Hit Papers
Peers
Comparison fields: 5 of 203
- Molecular Biology 40.4k
- Endocrinology 2.0k
- Plant Science 13.7k
- Biotechnology 2.6k
- Ecology 7.4k
Countries citing papers authored by Alex Bateman
This map shows the geographic impact of Alex Bateman'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 Alex Bateman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Bateman more than expected).
Fields of papers citing papers by Alex Bateman
This network shows the impact of papers produced by Alex Bateman. 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 Alex Bateman. The network helps show where Alex Bateman may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Bateman, 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 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Pfam Protein Families Database Hit paper breakdown → | 2002 | 11959 |
| 2 | Pfam: the protein families database Hit paper breakdown → | 2013 | 4740 |
| 3 | The Pfam protein families database: towards a more sustainable future Hit paper breakdown → | 2015 | 4051 |
| 4 | Pfam: The protein families database in 2021 Hit paper breakdown → | 2020 | 3780 |
| 5 | The Pfam protein families database in 2019 Hit paper breakdown → | 2018 | 3202 |
| 6 | The Pfam protein families database Hit paper breakdown → | 2011 | 3003 |
| 7 | The Pfam protein families database Hit paper breakdown → | 2003 | 2584 |
| 8 | The Pfam protein families database Hit paper breakdown → | 2009 | 2368 |
| 9 | The Pfam protein families database Hit paper breakdown → | 2007 | 1580 |
| 10 | MEROPS: the database of proteolytic enzymes, their substrates and inhibitors Hit paper breakdown → | 2011 | 1273 |
| 11 | The MEROPS database of proteolytic enzymes, their substrates and inhibitors in 2017 and a comparison with peptidases in the PANTHER database Hit paper breakdown → | 2017 | 1161 |
| 12 | Challenges in homology search: HMMER3 and convergent evolution of coiled-coil regions Hit paper breakdown → | 2013 | 1095 |
| 13 | The Pfam Protein Families Database Hit paper breakdown → | 2000 | 1077 |
| 14 | Rfam 12.0: updates to the RNA families database Hit paper breakdown → | 2014 | 805 |
| 15 | Rfam: updates to the RNA families database Hit paper breakdown → | 2008 | 733 |
| 16 | MEROPS: the peptidase database Hit paper breakdown → | 2009 | 731 |
| 17 | MEROPS: the database of proteolytic enzymes, their substrates and inhibitors Hit paper breakdown → | 2013 | 716 |
| 18 | HMMER web server: 2015 update Hit paper breakdown → | 2015 | 696 |
| 19 | Rfam 13.0: shifting to a genome-centric resource for non-coding RNA families Hit paper breakdown → | 2017 | 639 |
| 20 | Rfam 11.0: 10 years of RNA families Hit paper breakdown → | 2012 | 615 |
About Alex Bateman
Alex Bateman is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Spectroscopy and Oncology, having authored 158 papers that have together received 57.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (58 papers), RNA and protein synthesis mechanisms (42 papers), Machine Learning in Bioinformatics (36 papers), Protein Structure and Dynamics (29 papers), Enzyme Structure and Function (22 papers), Advanced Proteomics Techniques and Applications (20 papers), RNA modifications and cancer (16 papers) and Bacterial Genetics and Biotechnology (15 papers). The work is most often cited by research in Molecular Biology (40.4k citations), Endocrinology (2.0k citations), Plant Science (13.7k citations), Biotechnology (2.6k citations) and Ecology (7.4k citations). Alex Bateman has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include ROBERT FINN, Sean R. Eddy, Jaina Mistry, Erik L. L. Sonnhammer, John Tate, Neil D. Rawlings, Marco Punta, A. John Barrett, Ruth Y. Eberhardt and Gustavo A Salazar. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, BMC Bioinformatics, Current Protocols in Bioinformatics and Trends in Biochemical Sciences.
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.