Joe Wandy

1.5k total citations · 1 hit paper
18 papers, 962 citations indexed

About

Joe Wandy is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Joe Wandy has authored 18 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Spectroscopy and 3 papers in Biomedical Engineering. Recurrent topics in Joe Wandy's work include Metabolomics and Mass Spectrometry Studies (16 papers), Analytical Chemistry and Chromatography (6 papers) and Bioinformatics and Genomic Networks (5 papers). Joe Wandy is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (16 papers), Analytical Chemistry and Chromatography (6 papers) and Bioinformatics and Genomic Networks (5 papers). Joe Wandy collaborates with scholars based in United Kingdom, Netherlands and United States. Joe Wandy's co-authors include Simon Rogers, Justin J. J. van der Hooft, Michael P. Barrett, Karl Burgess, Rónán Daly, Madeleine Ernst, Marnix H. Medema, Pieter C. Dorrestein, Kyo Bin Kang and Louis‐Félix Nothias and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Analytical Chemistry.

In The Last Decade

Joe Wandy

18 papers receiving 958 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.

MolNetEnhancer: Enhanced Molecular Networks by Integrating Metabolome Mining and Annotation Tools

2019 277 citations Madeleine Ernst, Kyo Bin Kang et al. Metabolites profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joe Wandy United Kingdom	12	763	212	197	116	102	18	962
Raphael Reher Germany	13	749 1.0×	139 0.7×	280 1.4×	141 1.2×	165 1.6×	18	1.2k
Shankar Subramanian India	4	562 0.7×	150 0.7×	99 0.5×	182 1.6×	158 1.5×	5	1.0k
Huibin Shen Finland	7	920 1.2×	443 2.1×	107 0.5×	205 1.8×	98 1.0×	8	1.2k
Florent Olivon France	10	384 0.5×	74 0.3×	172 0.9×	69 0.6×	105 1.0×	18	593
Zijuan Lai United States	8	695 0.9×	262 1.2×	62 0.3×	45 0.4×	97 1.0×	14	996
Franziska Hufsky Germany	14	640 0.8×	368 1.7×	75 0.4×	92 0.8×	46 0.5×	23	830
Aries Aisporna United States	10	890 1.2×	408 1.9×	50 0.3×	115 1.0×	83 0.8×	12	1.2k
Ivan Protsyuk United States	7	393 0.5×	52 0.2×	107 0.5×	51 0.4×	61 0.6×	7	591
Emilien L. Jamin France	18	448 0.6×	116 0.5×	125 0.6×	23 0.2×	206 2.0×	46	1.0k
Wilbert H. M. Heijne Netherlands	15	721 0.9×	52 0.2×	176 0.9×	62 0.5×	159 1.6×	17	1.0k

Countries citing papers authored by Joe Wandy

Since Specialization

Citations

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

Fields of papers citing papers by Joe Wandy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Wandy

This figure shows the co-authorship network connecting the top 25 collaborators of Joe Wandy. A scholar is included among the top collaborators of Joe Wandy 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 Joe Wandy. Joe Wandy 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:

18 of 18 papers shown

Wandy, Joe, Stefan Weidt, Simon Rogers, et al.. (2023). TopNEXt: automatic DDA exclusion framework for multi-sample mass spectrometry experiments. Bioinformatics. 39(7). 2 indexed citations

Wandy, Joe, Simon Rogers, Stefan Weidt, et al.. (2023). Simulated-to-real benchmarking of acquisition methods in untargeted metabolomics. Frontiers in Molecular Biosciences. 10. 1130781–1130781. 6 indexed citations

Wandy, Joe, et al.. (2022). ViMMS 2.0: A framework to develop, test and optimisefragmentation strategies in LC-MS metabolomics. The Journal of Open Source Software. 7(71). 3990–3990. 3 indexed citations

McLuskey, Karen, Joe Wandy, Isabel M. Vincent, et al.. (2021). Ranking Metabolite Sets by Their Activity Levels. Metabolites. 11(2). 103–103. 16 indexed citations

Eldjárn, Grímur Hjörleifsson, Andrew Ramsay, Justin J. J. van der Hooft, et al.. (2021). Ranking microbial metabolomic and genomic links in the NPLinker framework using complementary scoring functions. PLoS Computational Biology. 17(5). e1008920–e1008920. 43 indexed citations

Wandy, Joe & Rónán Daly. (2021). GraphOmics: an interactive platform to explore and integrate multi-omics data. BMC Bioinformatics. 22(1). 603–603. 12 indexed citations

Davies, Vinny, Joe Wandy, Stefan Weidt, et al.. (2021). Rapid Development of Improved Data-Dependent Acquisition Strategies. Analytical Chemistry. 93(14). 5676–5683. 45 indexed citations

Niu, Mu, Joe Wandy, Rónán Daly, Simon Rogers, & Dirk Husmeier. (2020). R package for statistical inference in dynamical systems using kernel based gradient matching: KGode. Computational Statistics. 36(1). 715–747. 1 indexed citations

Wandy, Joe, Vinny Davies, Justin J. J. van der Hooft, et al.. (2019). In Silico Optimization of Mass Spectrometry Fragmentation Strategies in Metabolomics. Metabolites. 9(10). 219–219. 18 indexed citations

10.

Ernst, Madeleine, Kyo Bin Kang, Andrés Mauricio Caraballo‐Rodríguez, et al.. (2019). MolNetEnhancer: Enhanced Molecular Networks by Integrating Metabolome Mining and Annotation Tools. Metabolites. 9(7). 144–144. 277 indexed citations breakdown →

11.

Rogers, Simon, et al.. (2019). Deciphering complex metabolite mixtures by unsupervised and supervised substructure discovery and semi-automated annotation from MS/MS spectra. Faraday Discussions. 218(0). 284–302. 55 indexed citations

12.

Wandy, Joe, et al.. (2018). ShinyKGode: an interactive application for ODE parameter inference using gradient matching. Bioinformatics. 34(13). 2314–2315. 3 indexed citations

13.

Wandy, Joe, et al.. (2017). Ms2lda.org: web-based topic modelling for substructure discovery in mass spectrometry. Bioinformatics. 34(2). 317–318. 84 indexed citations

14.

Hooft, Justin J. J. van der, Joe Wandy, Sandosh Padmanabhan, et al.. (2017). Unsupervised Discovery and Comparison of Structural Families Across Multiple Samples in Untargeted Metabolomics. Analytical Chemistry. 89(14). 7569–7577. 46 indexed citations

15.

Gloaguen, Yoann, Fraser Morton, Rónán Daly, et al.. (2017). PiMP my metabolome: an integrated, web-based tool for LC-MS metabolomics data. Bioinformatics. 33(24). 4007–4009. 39 indexed citations

16.

Hooft, Justin J. J. van der, Joe Wandy, Michael P. Barrett, Karl Burgess, & Simon Rogers. (2016). Topic modeling for untargeted substructure exploration in metabolomics. Proceedings of the National Academy of Sciences. 113(48). 13738–13743. 254 indexed citations

17.

Wandy, Joe, Rónán Daly, Rainer Breitling, & Simon Rogers. (2015). Incorporating peak grouping information for alignment of multiple liquid chromatography-mass spectrometry datasets. Bioinformatics. 31(12). 1999–2006. 9 indexed citations

18.

Daly, Rónán, Simon Rogers, Joe Wandy, et al.. (2014). MetAssign: probabilistic annotation of metabolites from LC–MS data using a Bayesian clustering approach. Bioinformatics. 30(19). 2764–2771. 49 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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