Jerico Revote

1.4k total citations · 1 hit paper
20 papers, 963 citations indexed

About

Jerico Revote is a scholar working on Molecular Biology, Information Systems and Management and Oncology. According to data from OpenAlex, Jerico Revote has authored 20 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 3 papers in Information Systems and Management and 3 papers in Oncology. Recurrent topics in Jerico Revote's work include Machine Learning in Bioinformatics (6 papers), Genomics and Phylogenetic Studies (6 papers) and RNA and protein synthesis mechanisms (4 papers). Jerico Revote is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), Genomics and Phylogenetic Studies (6 papers) and RNA and protein synthesis mechanisms (4 papers). Jerico Revote collaborates with scholars based in Australia, China and United States. Jerico Revote's co-authors include Jiangning Song, Geoffrey I. Webb, André Leier, Tatiana T. Marquez‐Lago, Fuyi Li, Kuo‐Chen Chou, Tatsuya Akutsu, A. Ian Smith, Trevor Lithgow and Jian Li and has published in prestigious journals such as Bioinformatics, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Jerico Revote

19 papers receiving 951 citations

Hit Papers

align trajectories

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.

iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

2019 323 citations Zhen Chen, Pei Zhao et al. Briefings in Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jerico Revote Australia	13	827	95	71	57	37	20	963
Minh N. Nguyen Singapore	13	558 0.7×	68 0.7×	19 0.3×	29 0.5×	45 1.2×	31	712
Julie Nixon United States	7	949 1.1×	135 1.4×	58 0.8×	12 0.2×	41 1.1×	7	1.2k
Matthew Bashton United Kingdom	13	853 1.0×	105 1.1×	34 0.5×	14 0.2×	43 1.2×	26	1.1k
Ya-Wei Zhao China	7	621 0.8×	70 0.7×	123 1.7×	40 0.7×	9 0.2×	8	667
Arun S. Konagurthu Australia	10	700 0.8×	62 0.7×	18 0.3×	15 0.3×	37 1.0×	33	881
Nadav Brandes Israel	11	823 1.0×	102 1.1×	36 0.5×	41 0.7×	11 0.3×	17	1.1k
Mansoor Saqi United Kingdom	18	897 1.1×	45 0.5×	26 0.4×	28 0.5×	25 0.7×	56	1.3k
Yuhua Yao China	20	791 1.0×	43 0.5×	107 1.5×	12 0.2×	27 0.7×	65	982
Grigory Khimulya Russia	5	978 1.2×	129 1.4×	52 0.7×	31 0.5×	38 1.0×	5	1.1k

Countries citing papers authored by Jerico Revote

Since Specialization

Citations

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

Fields of papers citing papers by Jerico Revote

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerico Revote

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Revote, Jerico, Sri H. Ramarathinam, Pouya Faridi, et al.. (2023). Immunolyser: A web-based computational pipeline for analysing and mining immunopeptidomic data. Computational and Structural Biotechnology Journal. 21. 1678–1687. 6 indexed citations

Jones, Claerwen M., Jerico Revote, Patricia T. Illing, et al.. (2023). TCR_Explore: A novel webtool for T cell receptor repertoire analysis. Computational and Structural Biotechnology Journal. 21. 1272–1282. 5 indexed citations

Dang, Louis T., et al.. (2022). MonaGO: a novel gene ontology enrichment analysis visualisation system. BMC Bioinformatics. 23(1). 21 indexed citations

Chen, Jin-Xiang, Fuyi Li, Miao Wang, et al.. (2022). BigFiRSt: A Software Program Using Big Data Technique for Mining Simple Sequence Repeats From Large-Scale Sequencing Data. Frontiers in Big Data. 4. 727216–727216.

Li, Chen, Jerico Revote, Sri H. Ramarathinam, et al.. (2021). Resourcing, annotating, and analysing synthetic peptides of SARS‐CoV‐2 for immunopeptidomics and other immunological studies. PROTEOMICS. 21(17-18). e2100036–e2100036. 5 indexed citations

Revote, Jerico, Nicole A. Mifsud, Patricia T. Illing, et al.. (2021). ggVolcanoR: A Shiny app for customizable visualization of differential expression datasets. Computational and Structural Biotechnology Journal. 19. 5735–5740. 29 indexed citations

Ozols, Matiss, Alexander Eckersley, Christopher I. Platt, et al.. (2021). Predicting Proteolysis in Complex Proteomes Using Deep Learning. International Journal of Molecular Sciences. 22(6). 3071–3071. 17 indexed citations

Li, Fuyi, Tatiana T. Marquez‐Lago, André Leier, et al.. (2019). PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact. Briefings in Bioinformatics. 21(3). 1069–1079. 33 indexed citations

Chen, Zhen, Pei Zhao, Fuyi Li, et al.. (2019). iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data. Briefings in Bioinformatics. 21(3). 1047–1057. 323 indexed citations breakdown →

10.

Li, Fuyi, Jin-Xiang Chen, André Leier, et al.. (2019). DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites. Bioinformatics. 36(4). 1057–1065. 100 indexed citations

11.

Li, Fuyi, Yanan Wang, Chen Li, et al.. (2018). Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods. Briefings in Bioinformatics. 20(6). 2150–2166. 83 indexed citations

12.

An, Yi, Jiawei Wang, Chen Li, et al.. (2017). SecretEPDB: a comprehensive web-based resource for secreted effector proteins of the bacterial types III, IV and VI secretion systems. Scientific Reports. 7(1). 41031–41031. 39 indexed citations

13.

Li, Chen, Sri H. Ramarathinam, Jerico Revote, et al.. (2017). HIVed, a knowledgebase for differentially expressed human genes and proteins during HIV infection, replication and latency. Scientific Reports. 7(1). 45509–45509. 2 indexed citations

14.

Wang, Jiawei, Jerico Revote, André Leier, et al.. (2017). POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles. Bioinformatics. 33(17). 2756–2758. 158 indexed citations

15.

Li, Fuyi, Chen Li, Jerico Revote, et al.. (2016). GlycoMinestruct: a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features. Scientific Reports. 6(1). 34595–34595. 75 indexed citations

16.

Watson‐Haigh, Nathan S., Jerico Revote, Radosław Suchecki, et al.. (2016). Towards an open, collaborative, reusable framework for sharing hands-on bioinformatics training workshops. Briefings in Bioinformatics. 18(2). bbw013–bbw013. 4 indexed citations

17.

Song, Jiangning, Chen Li, Cheng Zheng, et al.. (2016). MetalExplorer, a Bioinformatics Tool for the Improved Prediction of Eight Types of Metal-Binding Sites Using a Random Forest Algorithm with Two- Step Feature Selection. Current Bioinformatics. 12(6). 19 indexed citations

18.

Revote, Jerico, et al.. (2016). Development of a cloud-based Bioinformatics Training Platform. Briefings in Bioinformatics. 18(3). bbw032–bbw032. 5 indexed citations

19.

Sharples, Wendy, Louis Moresi, M. A. Jadamec, & Jerico Revote. (2015). Styles of rifting and fault spacing in numerical models of crustal extension. Journal of Geophysical Research Solid Earth. 120(6). 4379–4404. 25 indexed citations

20.

Watson‐Haigh, Nathan S., Catherine A. Shang, Matthias Haimel, et al.. (2013). Next-generation sequencing: a challenge to meet the increasing demand for training workshops in Australia. Briefings in Bioinformatics. 14(5). 563–574. 14 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.

Explore authors with similar magnitude of impact