Tom Michoel

4.0k total citations · 1 hit paper
68 papers, 2.2k citations indexed

About

Tom Michoel is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Tom Michoel has authored 68 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 13 papers in Genetics and 8 papers in Immunology. Recurrent topics in Tom Michoel's work include Bioinformatics and Genomic Networks (23 papers), Gene expression and cancer classification (16 papers) and Gene Regulatory Network Analysis (11 papers). Tom Michoel is often cited by papers focused on Bioinformatics and Genomic Networks (23 papers), Gene expression and cancer classification (16 papers) and Gene Regulatory Network Analysis (11 papers). Tom Michoel collaborates with scholars based in United Kingdom, Belgium and Germany. Tom Michoel's co-authors include Tom C. Freeman, Mark P. Stevens, Kim Summers, J. Kenneth Baillie, Sara Clohisey, Kathleen Grabert, Michail H. Karavolos, Barry W. McColl, Anagha Joshi and Yves Van de Peer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Tom Michoel

67 papers receiving 2.1k 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.

Microglial brain region−dependent diversity and selective regional sensitivities to aging

2016 871 citations Tom Michoel et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom Michoel United Kingdom	21	939	771	462	232	182	68	2.2k
Alexander Skupin Luxembourg	28	1.7k 1.8×	455 0.6×	349 0.8×	278 1.2×	140 0.8×	85	3.0k
Shahin Mohammadi United States	13	1.3k 1.4×	793 1.0×	266 0.6×	557 2.4×	94 0.5×	20	2.2k
Jeremy A. Miller United States	23	1.6k 1.8×	774 1.0×	415 0.9×	564 2.4×	381 2.1×	46	2.9k
José Dávila-Velderrain United States	20	1.5k 1.6×	1.0k 1.3×	341 0.7×	731 3.2×	156 0.9×	40	2.8k
Ying‐Wooi Wan United States	23	982 1.0×	306 0.4×	204 0.4×	281 1.2×	358 2.0×	51	1.8k
Lluís Ramió‐Torrentà Spain	26	512 0.5×	415 0.5×	109 0.2×	112 0.5×	150 0.8×	92	2.8k
Ding-fang Bu China	13	1.0k 1.1×	206 0.3×	194 0.4×	279 1.2×	202 1.1×	42	2.2k
Stefan Bonn Germany	27	1.9k 2.0×	220 0.3×	141 0.3×	209 0.9×	339 1.9×	74	2.6k
Zhandong Liu United States	37	2.6k 2.8×	639 0.8×	424 0.9×	669 2.9×	702 3.9×	121	4.7k

Countries citing papers authored by Tom Michoel

Since Specialization

Citations

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

Fields of papers citing papers by Tom Michoel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Michoel

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

All Works

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20 of 20 papers shown

Savazzi, Stefano, et al.. (2024). Angle-Agnostic Radio Frequency Sensing Integrated Into 5G-NR. IEEE Sensors Journal. 24(21). 36099–36114. 1 indexed citations

Michoel, Tom, et al.. (2024). Integration of graph neural networks and genome-scale metabolic models for predicting gene essentiality. npj Systems Biology and Applications. 10(1). 24–24. 13 indexed citations

Wang, Lingfei, Andrew Crawford, Ruth Morgan, et al.. (2023). Plasma cortisol-linked gene networks in hepatic and adipose tissues implicate corticosteroid-binding globulin in modulating tissue glucocorticoid action and cardiovascular risk. Frontiers in Endocrinology. 14. 1186252–1186252. 3 indexed citations

Michoel, Tom, et al.. (2021). Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders. G3 Genes Genomes Genetics. 12(2). 2 indexed citations

Giarraputo, Alessia, Marny Fedrigo, Francesco Tona, et al.. (2021). Gene Network Analysis of Cardiac Allograft Vasculopathy in Heart Transplantation through Messanger RNA Expression Profile. The Journal of Heart and Lung Transplantation. 40(4). S236–S237. 1 indexed citations

Michoel, Tom, et al.. (2020). Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast. arXiv (Cornell University). 1 indexed citations

Jayaraman, S., Claire Harris, Edith Paxton, et al.. (2019). Application of long read sequencing to determine expressed antigen diversity in Trypanosoma brucei infections. PLoS neglected tropical diseases. 13(4). e0007262–e0007262. 20 indexed citations

Wang, Lingfei & Tom Michoel. (2017). Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data. PLoS Computational Biology. 13(8). e1005703–e1005703. 17 indexed citations

Audenaert, Pieter, et al.. (2016). An Algorithm to Automatically Generate the Combinatorial Orbit Counting Equations. PLoS ONE. 11(1). e0147078–e0147078. 8 indexed citations

10.

Talukdar, Husain A., Hassan Foroughi Asl, Rajeev Jain, et al.. (2016). Cross-Tissue Regulatory Gene Networks in Coronary Artery Disease. Cell Systems. 2(3). 196–208. 96 indexed citations

11.

Bonnet, Éric, Laurence Calzone, & Tom Michoel. (2015). Integrative Multi-omics Module Network Inference with Lemon-Tree. PLoS Computational Biology. 11(2). e1003983–e1003983. 78 indexed citations

12.

Laan, Sander W. van der, Hassan Foroughi Asl, Pleunie van den Borne, et al.. (2015). Variants in ALOX5, ALOX5AP and LTA4H are not associated with atherosclerotic plaque phenotypes: The Athero-Express Genomics Study. Atherosclerosis. 239(2). 528–538. 16 indexed citations

13.

Rönsch, Kerstin, Sylvia Timme, Hana Andrlová, et al.. (2014). Silencing of the EPHB3 tumor-suppressor gene in human colorectal cancer through decommissioning of a transcriptional enhancer. Proceedings of the National Academy of Sciences. 111(13). 4886–4891. 30 indexed citations

14.

Joshi, Anagha, et al.. (2012). Post‐transcriptional regulatory networks play a key role in noise reduction that is conserved from micro‐organisms to mammals. FEBS Journal. 279(18). 3501–3512. 15 indexed citations

15.

Audenaert, Pieter, Thomas Van Parys, Mario Pickavet, et al.. (2011). CyClus3D: a Cytoscape plugin for clustering network motifs in integrated networks. Bioinformatics. 27(11). 1587–1588. 12 indexed citations

16.

Joshi, Anagha, Thomas Van Parys, Yves Van de Peer, & Tom Michoel. (2010). Characterizing regulatory path motifs in integrated networks using perturbational data. Genome Biology. 11(3). R32–R32. 10 indexed citations

17.

Joshi, Anagha, Riet De Smet, Kathleen Marchal, Yves Van de Peer, & Tom Michoel. (2009). Module networks revisited: computational assessment and prioritization of model predictions. Bioinformatics. 25(4). 490–496. 64 indexed citations

18.

Vermeirssen, Vanessa, et al.. (2009). Transcription regulatory networks in Caenorhabditis elegans inferred through reverse-engineering of gene expression profiles constitute biological hypotheses for metazoan development. Molecular BioSystems. 5(12). 1817–1830. 19 indexed citations

19.

Michoel, Tom, Riet De Smet, Anagha Joshi, Yves Van de Peer, & Kathleen Marchal. (2009). Comparative analysis of module-based versus direct methods for reverse-engineering transcriptional regulatory networks. BMC Systems Biology. 3(1). 49–49. 52 indexed citations

20.

Michoel, Tom & Bruno Nachtergaele. (2003). The large-spin asymptotics of the ferromagnetic XXZ chain. eScholarship (California Digital Library). 3 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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