Erik Ferlanti

1.1k total citations
16 papers, 667 citations indexed

About

Erik Ferlanti is a scholar working on Molecular Biology, Information Systems and Management and Computer Networks and Communications. According to data from OpenAlex, Erik Ferlanti has authored 16 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Information Systems and Management and 4 papers in Computer Networks and Communications. Recurrent topics in Erik Ferlanti's work include Scientific Computing and Data Management (7 papers), Genomics and Phylogenetic Studies (4 papers) and Research Data Management Practices (3 papers). Erik Ferlanti is often cited by papers focused on Scientific Computing and Data Management (7 papers), Genomics and Phylogenetic Studies (4 papers) and Research Data Management Practices (3 papers). Erik Ferlanti collaborates with scholars based in United States, United Kingdom and Switzerland. Erik Ferlanti's co-authors include Vivek Krishnakumar, Jason Miller, Chris Town, Jamie Waese, Asher Pasha, Lawrence A. Kelley, Geoffrey Fucile, Hans Yu, Wolfgang Stuerzlinger and Ruian Shi and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The Plant Cell.

In The Last Decade

Erik Ferlanti

14 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik Ferlanti United States 8 441 327 82 55 29 16 667
M. Hammond United Kingdom 9 548 1.2× 154 0.5× 18 0.2× 123 2.2× 36 1.2× 10 682
Emmanuel Mongin United Kingdom 9 529 1.2× 128 0.4× 17 0.2× 141 2.6× 22 0.8× 10 897
Peter Hönigschmid Germany 8 435 1.0× 77 0.2× 19 0.2× 83 1.5× 9 0.3× 9 650
Todd Minning United States 14 612 1.4× 44 0.1× 92 1.1× 35 0.6× 163 5.6× 18 1.2k
C. Lachaize Switzerland 4 540 1.2× 89 0.3× 48 0.6× 64 1.2× 21 0.7× 4 699
W. C. Barker United States 12 529 1.2× 79 0.2× 42 0.5× 97 1.8× 8 0.3× 20 700
Tobias Hamp Germany 8 585 1.3× 93 0.3× 26 0.3× 83 1.5× 9 0.3× 10 776
Tie Koide Brazil 17 555 1.3× 179 0.5× 26 0.3× 168 3.1× 21 0.7× 38 825
Olivier Langella France 13 537 1.2× 287 0.9× 141 1.7× 68 1.2× 3 0.1× 21 761
William Baker United States 4 614 1.4× 87 0.3× 38 0.5× 87 1.6× 8 0.3× 11 826

Countries citing papers authored by Erik Ferlanti

Since Specialization
Citations

This map shows the geographic impact of Erik Ferlanti'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 Erik Ferlanti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Ferlanti more than expected).

Fields of papers citing papers by Erik Ferlanti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik Ferlanti. 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 Erik Ferlanti. The network helps show where Erik Ferlanti may publish in the future.

Co-authorship network of co-authors of Erik Ferlanti

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Ferlanti. A scholar is included among the top collaborators of Erik Ferlanti 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 Erik Ferlanti. Erik Ferlanti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Ferlanti, Erik, Lorenzo Concia, Joshua A. Urrutia, et al.. (2025). A Model for Teaching Machine Learning, Deep Learning, and Research Computing to Domain Scientists on HPC Resources. 401–408.
2.
3.
Ferlanti, Erik, et al.. (2023). Scalable and Reproducible Virtual Screening through an API-Integrated Workflow. Practice and Experience in Advanced Research Computing. 196–199. 3 indexed citations
4.
5.
Ferlanti, Erik, et al.. (2022). Containerizing Visualization Software: Experiences and Best Practices. Practice and Experience in Advanced Research Computing. 1–8. 5 indexed citations
6.
Stubbs, Joe, Gregory J. Zynda, Erik Ferlanti, et al.. (2020). Integrating Jupyter into Research Computing Ecosystems. Practice and Experience in Advanced Research Computing. 91–98. 7 indexed citations
7.
Waese, Jamie, Asher Pasha, Hans Yu, et al.. (2017). ePlant: Visualizing and Exploring Multiple Levels of Data for Hypothesis Generation in Plant Biology. The Plant Cell. 29(8). 1806–1821. 272 indexed citations
8.
Krishnakumar, Vivek, Sergio Contrino, Chia‐Yi Cheng, et al.. (2016). ThaleMine: A Warehouse for Arabidopsis Data Integration and Discovery. Plant and Cell Physiology. 58(1). pcw200–pcw200. 30 indexed citations
9.
Hanlon, Matthew, Matthew Vaughn, Stephen Mock, et al.. (2015). Araport: an application platform for data discovery. Concurrency and Computation Practice and Experience. 27(16). 4412–4422. 7 indexed citations
10.
Krishnakumar, Vivek, Matthew Hanlon, Sergio Contrino, et al.. (2014). Araport: the Arabidopsis Information Portal. Nucleic Acids Research. 43(D1). D1003–D1009. 151 indexed citations
11.
Hanlon, Matthew, Matthew Vaughn, Stephen Mock, et al.. (2014). The Arabidopsis Information Portal: An Application Platform for Data Discovery. 24. 38–41. 1 indexed citations
12.
Gilchrist, Carol A., Ibne Karim M. Ali, Mamun Kabir, et al.. (2012). A Multilocus Sequence Typing System (MLST) reveals a high level of diversity and a genetic component to Entamoeba histolytica virulence. BMC Microbiology. 12(1). 151–151. 28 indexed citations
13.
Braisted, John, Christine Vogel, Edward M. Marcotte, et al.. (2008). The APEX Quantitative Proteomics Tool: Generating protein quantitation estimates from LC-MS/MS proteomics results. BMC Bioinformatics. 9(1). 529–529. 129 indexed citations
14.
Ferlanti, Erik, Joseph F. Ryan, Izabela Makałowska, & Andreas D. Baxevanis. (1999). WebBLAST 2.0: an integrated solution for organizing and analyzing sequence data.. Bioinformatics. 15(5). 422–423. 7 indexed citations
15.
Makałowska, Izabela, Erik Ferlanti, A. D. Baxevanis, & David Landsman. (1999). Histone Sequence Database: sequences, structures, post-translational modifications and genetic loci. Nucleic Acids Research. 27(1). 323–324. 8 indexed citations
16.
Banerjee‐Basu, Sharmila, Erik Ferlanti, Joseph F. Ryan, & A. D. Baxevanis. (1999). The Homeodomain Resource: sequences, structures and genomic information. Nucleic Acids Research. 27(1). 336–337. 15 indexed citations

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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