Michael Wilson

25.8k total citations · 5 hit papers
34 papers, 6.3k citations indexed

About

Michael Wilson is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Michael Wilson has authored 34 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Spectroscopy and 3 papers in Computational Theory and Mathematics. Recurrent topics in Michael Wilson's work include Metabolomics and Mass Spectrometry Studies (10 papers), Bioinformatics and Genomic Networks (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Michael Wilson is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (10 papers), Bioinformatics and Genomic Networks (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Michael Wilson collaborates with scholars based in Canada, United States and United Kingdom. Michael Wilson's co-authors include David S. Wishart, Craig Knox, David Broadhurst, Jianguo Xia, Yannick Djoumbou-Feunang, Zerihun T. Dame, Yifeng Liu, David Arndt, Allison Pon and An Chi Guo and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Michael Wilson

33 papers receiving 6.2k citations

Hit Papers

DrugBank 4.0: shedding new light on drug metabolism 2012 2026 2016 2021 2013 2013 2015 2012 2014 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Wilson Canada 20 4.4k 961 702 660 541 34 6.3k
Xun Li China 42 3.5k 0.8× 722 0.8× 336 0.5× 383 0.6× 433 0.8× 181 7.4k
Beom-Soo Han South Korea 20 3.5k 0.8× 880 0.9× 259 0.4× 451 0.7× 292 0.5× 50 5.6k
An Chi Guo Canada 21 5.2k 1.2× 2.2k 2.3× 499 0.7× 617 0.9× 457 0.8× 39 7.8k
William J. Welsh United States 46 3.0k 0.7× 1.5k 1.5× 366 0.5× 448 0.7× 734 1.4× 231 7.5k
Elmar Krieger Netherlands 34 7.1k 1.6× 934 1.0× 309 0.4× 410 0.6× 818 1.5× 45 11.6k
Menghang Xia United States 45 3.2k 0.7× 1.9k 1.9× 511 0.7× 287 0.4× 590 1.1× 231 7.6k
Faizan Ahmad India 52 6.7k 1.5× 870 0.9× 411 0.6× 300 0.5× 339 0.6× 346 10.2k
Johan Gottfries Sweden 34 2.5k 0.6× 857 0.9× 385 0.5× 638 1.0× 278 0.5× 87 4.8k
Peng Zhou China 45 3.9k 0.9× 921 1.0× 416 0.6× 280 0.4× 350 0.6× 315 6.6k
Ying Tan China 41 2.6k 0.6× 573 0.6× 990 1.4× 892 1.4× 197 0.4× 194 5.8k

Countries citing papers authored by Michael Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Wilson

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

All Works

20 of 20 papers shown
1.
Wilson, Michael, et al.. (2021). RunBioSimulations: an extensible web application that simulates a wide range of computational modeling frameworks, algorithms, and formats. Nucleic Acids Research. 49(W1). W597–W602. 7 indexed citations
2.
Sajed, Tanvir, Ana Marcu, Miguel Ángel Ramírez, et al.. (2015). ECMDB 2.0: A richer resource for understanding the biochemistry ofE. coli. Nucleic Acids Research. 44(D1). D495–D501. 109 indexed citations
3.
Pon, Allison, Timothy Jewison, Yilu Su, et al.. (2015). Pathways with PathWhiz. Nucleic Acids Research. 43(W1). W552–W559. 19 indexed citations
4.
Mariani, Jessica, Gianfilippo Coppola, Ping Zhang, et al.. (2015). FOXG1-Dependent Dysregulation of GABA/Glutamate Neuron Differentiation in Autism Spectrum Disorders. Cell. 162(2). 375–390. 767 indexed citations breakdown →
5.
Ravanbakhsh, Siamak, Philip L.‐F. Liu, Rupasri Mandal, et al.. (2015). Accurate, Fully-Automated NMR Spectral Profiling for Metabolomics. PLoS ONE. 10(5). e0124219–e0124219. 217 indexed citations
6.
Allen, Felicity, Allison Pon, Michael Wilson, Russell Greiner, & David S. Wishart. (2014). CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra. Nucleic Acids Research. 42(W1). W94–W99. 346 indexed citations breakdown →
7.
Wishart, David S., David Arndt, Allison Pon, et al.. (2014). T3DB: the toxic exposome database. Nucleic Acids Research. 43(D1). D928–D934. 217 indexed citations
8.
Law, Vivian, Craig Knox, Yannick Djoumbou-Feunang, et al.. (2013). DrugBank 4.0: shedding new light on drug metabolism. Nucleic Acids Research. 42(D1). D1091–D1097. 1546 indexed citations breakdown →
9.
Jewison, Timothy, Yilu Su, Yongjie Liang, et al.. (2013). SMPDB 2.0: Big Improvements to the Small Molecule Pathway Database. Nucleic Acids Research. 42(D1). D478–D484. 309 indexed citations
10.
Bouatra, Souhaila, Farid Aziat, Rupasri Mandal, et al.. (2013). The Human Urine Metabolome. PLoS ONE. 8(9). e73076–e73076. 1100 indexed citations breakdown →
11.
Guo, An Chi, Timothy Jewison, Michael Wilson, et al.. (2012). ECMDB: The E. coli Metabolome Database. Nucleic Acids Research. 41(D1). D625–D630. 128 indexed citations
12.
Wilson, Michael, et al.. (2012). Managing Large Data Volumes from Scientific Facilities. ERCIM news/ERCIM news online edition. 2012(89). 15. 1 indexed citations
13.
Xia, Jianguo, David Broadhurst, Michael Wilson, & David S. Wishart. (2012). Translational biomarker discovery in clinical metabolomics: an introductory tutorial. Metabolomics. 9(2). 280–299. 736 indexed citations breakdown →
14.
Abyzov, Alexej, Jessica Mariani, Dean Palejev, et al.. (2012). Somatic copy number mosaicism in human skin revealed by induced pluripotent stem cells. Nature. 492(7429). 438–442. 270 indexed citations
15.
Jewison, Timothy, Craig Knox, Vanessa Neveu, et al.. (2011). YMDB: the Yeast Metabolome Database. Nucleic Acids Research. 40(D1). D815–D820. 147 indexed citations
16.
Cruz, J., Youhua Liu, Yong Liang, et al.. (2011). BacMap: an up-to-date electronic atlas of annotated bacterial genomes. Nucleic Acids Research. 40(D1). D599–D604. 19 indexed citations
17.
Wilson, Michael, et al.. (2008). The Aerodynamic Characteristics of a Race Car Wing Operating in a Wake. SAE International Journal of Passenger Cars - Mechanical Systems. 1(1). 552–559. 15 indexed citations
18.
Wilson, Michael, Timothy J. Foster, Mumtaz Virji, et al.. (2002). Bacterial Adhesion to Host Tissues. Cambridge University Press eBooks. 18 indexed citations
19.
Allan, Iain, HN Newman, & Michael Wilson. (1997). The antibacterial properties of a bioactive glass. UCL Discovery (University College London). 1 indexed citations
20.
Hutchinson, John M., et al.. (1988). Differential scanning calorimetry of polymer glasses: corrections for thermal lag. Polymer. 29(1). 152–159. 44 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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