Guilherme Viteri

10.0k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

Guilherme Viteri is a scholar working on Molecular Biology, Spectroscopy and Pharmacology. According to data from OpenAlex, Guilherme Viteri has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Spectroscopy and 1 paper in Pharmacology. Recurrent topics in Guilherme Viteri's work include Bioinformatics and Genomic Networks (7 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Advanced Proteomics Techniques and Applications (2 papers). Guilherme Viteri is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Advanced Proteomics Techniques and Applications (2 papers). Guilherme Viteri collaborates with scholars based in United Kingdom, Canada and United States. Guilherme Viteri's co-authors include Konstantinos Sidiropoulos, Antonio Fabregat, Henning Hermjakob, Lincoln Stein, Peter D’Eustachio, Pablo Marín-García, Vicente Arnau, Peipei Ping, Johannes Griss and Vy Nguyen and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and PLoS Computational Biology.

In The Last Decade

Guilherme Viteri

7 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Reactome pathway analysis: a high-performance in-memory approach

2017 533 citations Antonio Fabregat, Konstantinos Sidiropoulos et al. BMC Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guilherme Viteri United Kingdom	6	646	193	161	119	111	7	1.1k
Konstantinos Sidiropoulos United Kingdom	9	650 1.0×	194 1.0×	163 1.0×	135 1.1×	115 1.0×	23	1.2k
Mike Kucera Canada	4	737 1.1×	167 0.9×	224 1.4×	121 1.0×	162 1.5×	6	1.3k
Muyoung Lee South Korea	6	923 1.4×	210 1.1×	265 1.6×	132 1.1×	168 1.5×	10	1.4k
Călin Voichiţa United States	6	850 1.3×	145 0.8×	207 1.3×	80 0.7×	86 0.8×	11	1.3k
Dabin Jeong South Korea	6	876 1.4×	207 1.1×	277 1.7×	134 1.1×	172 1.5×	11	1.3k
Eunbeen Kim South Korea	3	836 1.3×	207 1.1×	262 1.6×	129 1.1×	165 1.5×	6	1.3k
Denis Torre United States	12	1.1k 1.6×	210 1.1×	270 1.7×	167 1.4×	134 1.2×	17	1.6k
Martin Frejno Germany	15	925 1.4×	99 0.5×	129 0.8×	133 1.1×	75 0.7×	17	1.3k
Simon Cockell United Kingdom	25	896 1.4×	125 0.6×	182 1.1×	168 1.4×	65 0.6×	62	1.5k

Countries citing papers authored by Guilherme Viteri

Since Specialization

Citations

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

Fields of papers citing papers by Guilherme Viteri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilherme Viteri

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

All Works

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7 of 7 papers shown

1.

Beavers, Deidre, Timothy Brunson, Nasim Sanati, et al.. (2023). Illuminate the Functions of Dark Proteins Using the Reactome‐IDG Web Portal. Current Protocols. 3(7). e845–e845. 1 indexed citations

2.

Griss, Johannes, Guilherme Viteri, Konstantinos Sidiropoulos, et al.. (2020). ReactomeGSA - Efficient Multi-Omics Comparative Pathway Analysis. Molecular & Cellular Proteomics. 19(12). 2115–2125. 183 indexed citations

3.

Viteri, Guilherme, Lisa Matthews, Thawfeek Varusai, et al.. (2019). Reactome and ORCID—fine-grained credit attribution for community curation. Database. 2019. 9 indexed citations

4.

Fabregat, Antonio, Guilherme Viteri, Konstantinos Sidiropoulos, et al.. (2018). Reactome graph database: Efficient access to complex pathway data. PLoS Computational Biology. 14(1). e1005968–e1005968. 169 indexed citations

5.

Fabregat, Antonio, Konstantinos Sidiropoulos, Guilherme Viteri, et al.. (2017). Reactome pathway analysis: a high-performance in-memory approach. BMC Bioinformatics. 18(1). 142–142. 533 indexed citations breakdown →

6.

Fabregat, Antonio, Konstantinos Sidiropoulos, Guilherme Viteri, et al.. (2017). Reactome diagram viewer: data structures and strategies to boost performance. Bioinformatics. 34(7). 1208–1214. 124 indexed citations

7.

Sidiropoulos, Konstantinos, Guilherme Viteri, Cristoffer Sevilla, et al.. (2017). Reactome enhanced pathway visualization. Bioinformatics. 33(21). 3461–3467. 115 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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