ROBERT FINN

97.5k total citations · 25 hit papers
151 papers, 48.5k citations indexed

About

ROBERT FINN is a scholar working on Molecular Biology, Ecology and Spectroscopy. According to data from OpenAlex, ROBERT FINN has authored 151 papers receiving a total of 48.5k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Molecular Biology, 31 papers in Ecology and 22 papers in Spectroscopy. Recurrent topics in ROBERT FINN's work include Genomics and Phylogenetic Studies (63 papers), RNA and protein synthesis mechanisms (26 papers) and Microbial Community Ecology and Physiology (23 papers). ROBERT FINN is often cited by papers focused on Genomics and Phylogenetic Studies (63 papers), RNA and protein synthesis mechanisms (26 papers) and Microbial Community Ecology and Physiology (23 papers). ROBERT FINN collaborates with scholars based in United Kingdom, United States and Germany. ROBERT FINN's 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 and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

ROBERT FINN

141 papers receiving 48.1k citations

Hit Papers

Pfam: the protein families database 2005 2026 2012 2019 2013 2011 2015 2020 2018 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
ROBERT FINN United Kingdom 57 33.4k 12.7k 7.4k 5.3k 2.3k 151 48.5k
Alex Bateman United Kingdom 69 40.4k 1.2× 13.7k 1.1× 7.4k 1.0× 6.8k 1.3× 2.0k 0.9× 158 57.2k
Erik L. L. Sonnhammer Sweden 51 30.6k 0.9× 10.3k 0.8× 5.6k 0.8× 5.3k 1.0× 1.9k 0.8× 153 44.6k
Björn Usadel Germany 62 30.3k 0.9× 21.6k 1.7× 8.6k 1.2× 7.5k 1.4× 3.0k 1.3× 187 58.7k
Hamish McWilliam United Kingdom 15 25.5k 0.8× 10.7k 0.8× 6.7k 0.9× 6.1k 1.2× 3.2k 1.4× 18 46.3k
Andreas Wilm Singapore 21 21.0k 0.6× 8.3k 0.7× 5.4k 0.7× 5.0k 0.9× 3.0k 1.3× 29 37.5k
Rodrigo López United Kingdom 32 32.5k 1.0× 13.2k 1.0× 7.9k 1.1× 7.3k 1.4× 3.9k 1.7× 68 57.4k
Joel T. Dudley United States 54 16.8k 0.5× 8.4k 0.7× 5.7k 0.8× 5.9k 1.1× 2.9k 1.3× 196 43.0k
Pavel A. Pevzner United States 78 29.3k 0.9× 9.2k 0.7× 9.9k 1.3× 6.1k 1.2× 3.1k 1.4× 255 45.5k
Sean R. Eddy United States 80 54.3k 1.6× 18.3k 1.4× 13.1k 1.8× 9.1k 1.7× 2.6k 1.1× 127 75.9k
Ivica Letunić Germany 37 20.0k 0.6× 8.7k 0.7× 6.5k 0.9× 3.5k 0.7× 2.5k 1.1× 48 34.9k

Countries citing papers authored by ROBERT FINN

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of ROBERT FINN

This figure shows the co-authorship network connecting the top 25 collaborators of ROBERT FINN. A scholar is included among the top collaborators of ROBERT FINN based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with ROBERT FINN. ROBERT FINN is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sánchez‐García, Laura, Daniel Carrizo, Heidi Taubner, et al.. (2025). Seasonal biogeochemical variations in a modern microbialite reef under early Earth-like conditions. Communications Earth & Environment. 6(1).
2.
FINN, ROBERT, et al.. (2025). CODARFE: Unlocking the prediction of continuous environmental variables based on microbiome. GigaScience. 14. 1 indexed citations
3.
Rasmussen, Jacob Agerbo, Laurène Alicia Lecaudey, Varsha Kale, et al.. (2024). A holo-omics analysis shows how sugar kelp can boost gut health in Atlantic salmon. Aquaculture. 597. 741913–741913. 1 indexed citations
4.
Sanchez, Santiago, et al.. (2024). Diversity and specificity of molecular functions in cyanobacterial symbionts. Scientific Reports. 14(1). 18658–18658. 4 indexed citations
5.
Li, Jiahui, et al.. (2024). Fungtion: A Server for Predicting and Visualizing Fungal Effector Proteins. Journal of Molecular Biology. 436(17). 168613–168613. 2 indexed citations
6.
Rangel-Piñeros, Guillermo, Alexandre Almeida, Martín Beracochea, et al.. (2023). VIRify: An integrated detection, annotation and taxonomic classification pipeline using virus-specific protein profile hidden Markov models. PLoS Computational Biology. 19(8). e1011422–e1011422. 17 indexed citations
7.
Gurbich, Tatiana A, Alexandre Almeida, Martín Beracochea, et al.. (2023). MGnify Genomes: A Resource for Biome-specific Microbial Genome Catalogues. Journal of Molecular Biology. 435(14). 168016–168016. 32 indexed citations
8.
Sim, Choon Kiat, Sara Saheb Kashaf, Apollo Stacy, et al.. (2022). A mouse model of occult intestinal colonization demonstrating antibiotic-induced outgrowth of carbapenem-resistant Enterobacteriaceae. Microbiome. 10(1). 43–43. 17 indexed citations
9.
Rogers, Alexander B., et al.. (2022). A machine learning framework for discovery and enrichment of metagenomics metadata from open access publications. GigaScience. 11. 5 indexed citations
10.
Chibani, Cynthia Maria, Alexander Mahnert, Guillaume Borrel, et al.. (2021). A catalogue of 1,167 genomes from the human gut archaeome. Nature Microbiology. 7(1). 48–61. 104 indexed citations
11.
Sweeney, Blake, David Hoksza, Eric P. Nawrocki, et al.. (2021). R2DT is a framework for predicting and visualising RNA secondary structure using templates. Nature Communications. 12(1). 3494–3494. 77 indexed citations
12.
Almeida, Alexandre, Stephen Nayfach, Miguel Boland, et al.. (2020). A unified catalog of 204,938 reference genomes from the human gut microbiome. Nature Biotechnology. 39(1). 105–114. 736 indexed citations breakdown →
13.
Kalvari, Ioanna, Eric P. Nawrocki, Nancy Ontiveros‐Palacios, et al.. (2020). Rfam 14: expanded coverage of metagenomic, viral and microRNA families. Nucleic Acids Research. 49(D1). D192–D200. 584 indexed citations breakdown →
14.
Gardner, Paul P., Xochitl C. Morgan, Jenny Draper, et al.. (2019). Identifying accurate metagenome and amplicon software via a meta-analysis of sequence to taxonomy benchmarking studies. PeerJ. 7. e6160–e6160. 26 indexed citations
15.
Milanese, Alessio, Daniel R. Mende, Lucas Paoli, et al.. (2019). Microbial abundance, activity and population genomic profiling with mOTUs2. Nature Communications. 10(1). 1014–1014. 243 indexed citations
16.
El-Gebali, Sara, Jaina Mistry, Alex Bateman, et al.. (2018). The Pfam protein families database in 2019. Nucleic Acids Research. 47(D1). D427–D432. 3202 indexed citations breakdown →
17.
Hoopen, Petra ten, ROBERT FINN, Lars Ailo Bongo, et al.. (2017). The metagenomic data life-cycle: standards and best practices. GigaScience. 6(8). 1–11. 43 indexed citations
18.
FINN, ROBERT, Penelope Coggill, Ruth Y. Eberhardt, et al.. (2015). The Pfam protein families database: towards a more sustainable future. Nucleic Acids Research. 44(D1). D279–D285. 4051 indexed citations breakdown →
19.
Mistry, Jaina, Penny Coggill, Ruth Y. Eberhardt, et al.. (2013). The challenge of increasing Pfam coverage of the human proteome. Database. 2013. bat023–bat023. 23 indexed citations
20.
FINN, ROBERT, Alex Bateman, Jody Clements, et al.. (2013). Pfam: the protein families database. Nucleic Acids Research. 42(D1). D222–D230. 4740 indexed citations breakdown →

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.

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