Vicente Arnau

1.7k citations
37 papers · 1.0k indexed · 1 hit paper · h-index 12

Vicente Arnau

34 papers receiving 1.0k citations

Hit Papers

Reactome pathway analysis: a high-performance in-memory a...5332017202620202023100200300400500

Peers

Vicente Arnau
Comparison fields: 5 of 122
  • Molecular Biology 564
  • Immunology 147
  • Computational Theory and Mathematics 94
  • Ophthalmology 52
  • Cancer Research 82
Replace Pablo Marín-García with:
Pablo Marín-García Spain
Wolfgang M. Schmidt Austria
Xueping Yu China
Konstantinos Sidiropoulos United Kingdom
Guilherme Viteri United Kingdom
Yashwanth Subbannayya India
Dmitri Kazmin United States
Oussema Souiai Tunisia
Xiaofeng Li China
Tobias Schmidt Germany
Vicente Arnau relative to Pablo Marín-García Spain Pablo Marín-García's profile →
Citations per field
00.5×2.7×
Pablo Marín-García · 1×
Citations per year

Countries citing papers authored by Vicente Arnau

Since Specialization
Citations

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

Fields of papers citing papers by Vicente Arnau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Vicente Arnau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vicente Arnau Line = papers co-authored together Vicente Arnau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20233
3 20239
4 20232
5 202310
6 20235
7 20222
8 202211
9 202134
10 202137
11 202034
12 20171
13
Reactome pathway analysis: a high-performance in-memory approachbreakdown →
2017533
14 20168
15 20086
16 20065
17 200629
18 2004141
19 199729
20 199635

About Vicente Arnau

Vicente Arnau is a scholar working on Hardware and Architecture, Molecular Biology and Reproductive Medicine, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), RNA and protein synthesis mechanisms (10 papers), Algorithms and Data Compression (4 papers), Machine Learning in Bioinformatics (3 papers), Fractal and DNA sequence analysis (3 papers), Gut microbiota and health (3 papers), Genomics and Chromatin Dynamics (3 papers) and Microbial Community Ecology and Physiology (3 papers). The work is most often cited by research in Molecular Biology (564 citations), Immunology (147 citations) and Computational Theory and Mathematics (94 citations). Vicente Arnau has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Ignacio Marı́n, Peter D’Eustachio, Henning Hermjakob, Pablo Marín-García, Konstantinos Sidiropoulos, Guilherme Viteri, Lincoln Stein, Antonio Fabregat, Wladimiro Dı́az-Villanueva and Miguel Gallach. Their work appears in journals such as Bioinformatics, PLoS ONE and Journal of Molecular Biology.

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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