ROBERT FINN
Impact in
- Molecular Biology top 0.02%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Gut microbiota and health
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Plant Science top 0.02%
- Plant Molecular Biology Research
Papers in
-
- Genomics and Phylogenetic Studies 63
- RNA and protein synthesis mechanisms 26
- Machine Learning in Bioinformatics 18
- Gut microbiota and health 17
- Protein Structure and Dynamics 10
- RNA modifications and cancer 9
- Co-authors
- Sean R. EddyAlex BatemanJody ClementsJaina MistryErik L. L. SonnhammerJohn TateSimon PotterMarco Punta
- Journals
- Nucleic Acids Research (33 papers)Bioinformatics (9 papers)BMC Bioinformatics (6 papers)Current Protocols in Bioinformatics (5 papers)GigaScience (5 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
ROBERT FINN
141 papers receiving 48.1k citations
Hit Papers
Peers
Comparison fields: 5 of 205
- Molecular Biology 33.4k
- Plant Science 12.7k
- Endocrinology 1.7k
- Ecology 7.4k
- Biotechnology 2.0k
Countries citing papers authored by ROBERT FINN
This map shows the geographic impact of ROBERT FINN'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 ROBERT FINN with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ROBERT FINN more than expected).
Fields of papers citing papers by ROBERT FINN
This network shows the impact of papers produced by ROBERT FINN. 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 ROBERT FINN. The network helps show where ROBERT FINN may publish in the future.
Co-authorship network
The 25 scholars most cited alongside ROBERT FINN, 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 30 | |
| 8 | 2023 | 40 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 17 | |
| 12 | 2021 | 104 | |
| 13 | 2021 | 77 | |
| 14 | A unified catalog of 204,938 reference genomes from the human gut microbiome Hit paper breakdown → | 2020 | 736 |
| 15 | 2020 | 51 | |
| 16 | Rfam 14: expanded coverage of metagenomic, viral and microRNA families Hit paper breakdown → | 2020 | 584 |
| 17 | 2019 | 243 | |
| 18 | Rfam 13.0: shifting to a genome-centric resource for non-coding RNA families Hit paper breakdown → | 2017 | 639 |
| 19 | 2017 | 43 | |
| 20 | 2013 | 23 |
About ROBERT FINN
ROBERT FINN is a scholar working on Molecular Biology, Structural Biology, Spectroscopy, Ecology and Information Systems and Management, having authored 151 papers that have together received 48.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (63 papers), RNA and protein synthesis mechanisms (26 papers), Microbial Community Ecology and Physiology (23 papers), Advanced Proteomics Techniques and Applications (22 papers), Machine Learning in Bioinformatics (18 papers), Gut microbiota and health (17 papers), Protein Structure and Dynamics (10 papers) and RNA modifications and cancer (9 papers). The work is most often cited by research in Molecular Biology (33.4k citations), Plant Science (12.7k citations), Endocrinology (1.7k citations), Ecology (7.4k citations) and Biotechnology (2.0k citations). ROBERT FINN has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Sean R. Eddy, Alex Bateman, Jody Clements, Jaina Mistry, Erik L. L. Sonnhammer, John Tate, Simon Potter, Marco Punta, 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 GigaScience.
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.