Alex Bateman
- Molecular Biology top 0.01%
- 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
- Endocrinology top 0.1%
- Plant Science top 0.02%
- Biotechnology top 0.05%
- Ecology top 0.05%
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- Enzyme Structure and Function 22
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- Advanced Proteomics Techniques and Applications 20
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- Peptidase Inhibition and Analysis 15
- Co-authors
- ROBERT FINNSean R. EddyJaina MistryErik L. L. SonnhammerJohn TateNeil D. RawlingsMarco PuntaA. John Barrett
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Alex Bateman
158 papers receiving 56.6k citations
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 30 | |
| 5 | 2024 | 49 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 23 | |
| 11 | 2022 | 30 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 2 | |
| 15 | Rfam 14: expanded coverage of metagenomic, viral and microRNA familiesbreakdown → | 2020 | 584 |
| 16 | 2019 | 14 | |
| 17 | The Pfam protein families database in 2019breakdown → | 2018 | 3202 |
| 18 | Rfam 13.0: shifting to a genome-centric resource for non-coding RNA familiesbreakdown → | 2017 | 639 |
| 19 | 2013 | 23 | |
| 20 | MEROPS: the database of proteolytic enzymes, their substrates and inhibitorsbreakdown → | 2011 | 1273 |
About Alex Bateman
Alex Bateman is a scholar working on Molecular Biology, Spectroscopy and Aging, 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 Peptidase Inhibition and Analysis (15 papers). The work is most often cited by research in Molecular Biology (40.4k citations), Endocrinology (2.0k citations) and Plant Science (13.7k 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.