Michael Woolman

475 total citations
23 papers, 328 citations indexed

About

Michael Woolman is a scholar working on Spectroscopy, Molecular Biology and Genetics. According to data from OpenAlex, Michael Woolman has authored 23 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Spectroscopy, 14 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Michael Woolman's work include Mass Spectrometry Techniques and Applications (18 papers), Metabolomics and Mass Spectrometry Studies (13 papers) and Advanced Proteomics Techniques and Applications (8 papers). Michael Woolman is often cited by papers focused on Mass Spectrometry Techniques and Applications (18 papers), Metabolomics and Mass Spectrometry Studies (13 papers) and Advanced Proteomics Techniques and Applications (8 papers). Michael Woolman collaborates with scholars based in Canada, United States and Italy. Michael Woolman's co-authors include Arash Zarrine‐Afsar, Howard J. Ginsberg, Alessandra Tata, Emma Bluemke, Megan Wu, Sunit Das, Taira Kiyota, Asma M. Aman, Manuela Ventura and James T. Rutka and has published in prestigious journals such as Analytical Chemistry, Cancer Research and Scientific Reports.

In The Last Decade

Michael Woolman

21 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Woolman Canada 11 226 181 59 33 31 23 328
Philippe Saudemont France 9 232 1.0× 176 1.0× 61 1.0× 46 1.4× 21 0.7× 10 377
Aydin Zahedivash United States 3 189 0.8× 138 0.8× 84 1.4× 28 0.8× 26 0.8× 12 323
Alena Bensussan United States 6 262 1.2× 201 1.1× 92 1.6× 44 1.3× 31 1.0× 6 403
Noah Giese United States 2 238 1.1× 171 0.9× 97 1.6× 36 1.1× 31 1.0× 6 379
Rima Ait-Belkacem France 11 333 1.5× 316 1.7× 24 0.4× 47 1.4× 38 1.2× 18 501
Merja Rossi United Kingdom 5 108 0.5× 143 0.8× 29 0.5× 21 0.6× 39 1.3× 7 311
Kyana Y. Garza United States 8 451 2.0× 319 1.8× 113 1.9× 88 2.7× 40 1.3× 12 619
Florian P.Y. Barré Netherlands 10 223 1.0× 208 1.1× 33 0.6× 40 1.2× 19 0.6× 11 389
Klára Ščupáková Netherlands 7 223 1.0× 246 1.4× 28 0.5× 35 1.1× 20 0.6× 8 362
Ruben D. Addie Netherlands 7 101 0.4× 230 1.3× 25 0.4× 14 0.4× 73 2.4× 7 377

Countries citing papers authored by Michael Woolman

Since Specialization
Citations

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

Fields of papers citing papers by Michael Woolman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Woolman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Woolman. A scholar is included among the top collaborators of Michael Woolman 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 Woolman. Michael Woolman 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.
Woolman, Michael, David G. Muñoz, Taira Kiyota, et al.. (2025). A molecular array for 10-second diagnosis of common spinal tumor types with picosecond infrared laser mass spectrometry. Neuro-Oncology. 27(8). 2060–2072.
2.
Ha, Annie, et al.. (2025). Recent implementations of data-independent acquisition for cancer biomarker discovery in biological fluids. Expert Review of Proteomics. 22(4). 163–176. 1 indexed citations
3.
Waas, Matthew, Amanda Khoo, Jiang He, et al.. (2024). Protocol for generating high-fidelity proteomic profiles using DROPPS. STAR Protocols. 5(4). 103397–103397.
4.
Woolman, Michael, Taira Kiyota, Vijay Ramaswamy, et al.. (2024). Lipidomic-Based Approach to 10 s Classification of Major Pediatric Brain Cancer Types with Picosecond Infrared Laser Mass Spectrometry. Analytical Chemistry. 96(3). 1019–1028. 7 indexed citations
5.
Tata, Alessandra, Taira Kiyota, Michael Woolman, et al.. (2024). A Workflow for Meaningful Interpretation of Classification Results from Handheld Ambient Mass Spectrometry Analysis Probes. International Journal of Molecular Sciences. 25(6). 3491–3491. 3 indexed citations
6.
Woolman, Michael, et al.. (2024). Reflection mode polarimetry guides laser mass spectrometry to diagnostically important regions of human breast cancer tissue. Scientific Reports. 14(1). 26230–26230. 1 indexed citations
7.
Kiyota, Taira, Michael Woolman, Megan Wu, et al.. (2023). Metabolic Lipids in Melanoma Enable Rapid Determination of Actionable BRAF-V600E Mutation with Picosecond Infrared Laser Mass Spectrometry in 10 s. Analytical Chemistry. 95(38). 14430–14439. 2 indexed citations
8.
Woolman, Michael, Taira Kiyota, Layla Pires, et al.. (2022). Picosecond Infrared Laser Mass Spectrometry Identifies a Metabolite Array for 10 s Diagnosis of Select Skin Cancer Types: A Proof-of-Concept Feasibility Study. Analytical Chemistry. 94(48). 16821–16830. 10 indexed citations
9.
Faber, Kenneth J., et al.. (2021). Development of a Three-Dimensional Bioartificial Shoulder Joint Implant Mimetic of Periprosthetic Joint Infection. Tissue Engineering Part A. 28(3-4). 175–183. 2 indexed citations
10.
Woolman, Michael, et al.. (2021). Breaking Through the Barrier. Clinics in Laboratory Medicine. 41(2). 221–246. 12 indexed citations
11.
Tata, Alessandra, et al.. (2021). Lipid Profiling in Cancer Diagnosis with Hand-Held Ambient Mass Spectrometry Probes: Addressing the Late-Stage Performance Concerns. Metabolites. 11(10). 660–660. 16 indexed citations
12.
Woolman, Michael, et al.. (2020). Potential impact of tissue molecular heterogeneity on ambient mass spectrometry profiles: a note of caution in choosing the right disease model. Analytical and Bioanalytical Chemistry. 413(10). 2655–2664. 5 indexed citations
13.
Woolman, Michael, Francis Talbot, Megan Wu, et al.. (2020). Dual Laser and Desorption Electrospray Ionization Mass Spectrometry Imaging Using the Same Interface. Analytical Chemistry. 92(9). 6349–6357. 11 indexed citations
14.
Woolman, Michael, Claudia M. Kuzan-Fischer, Taira Kiyota, et al.. (2019). Picosecond Infrared Laser Desorption Mass Spectrometry Identifies Medulloblastoma Subgroups on Intrasurgical Timescales. Cancer Research. 79(9). 2426–2434. 38 indexed citations
15.
Woolman, Michael, Emma Bluemke, Manuela Ventura, et al.. (2017). Optimized Mass Spectrometry Analysis Workflow with Polarimetric Guidance for ex vivo and in situ Sampling of Biological Tissues. Scientific Reports. 7(1). 468–468. 35 indexed citations
16.
Woolman, Michael, Claudia M. Kuzan-Fischer, Megan Wu, et al.. (2017). Rapid determination of medulloblastoma subgroup affiliation with mass spectrometry using a handheld picosecond infrared laser desorption probe. Chemical Science. 8(9). 6508–6519. 46 indexed citations
17.
Woolman, Michael, Alessandra Tata, Jalna Meens, et al.. (2017). Rapid determination of the tumour stroma ratio in squamous cell carcinomas with desorption electrospray ionization mass spectrometry (DESI-MS): a proof-of-concept demonstration. The Analyst. 142(17). 3250–3260. 13 indexed citations
18.
Tata, Alessandra, Michael Woolman, Manuela Ventura, et al.. (2016). Rapid Detection of Necrosis in Breast Cancer with Desorption Electrospray Ionization Mass Spectrometry. Scientific Reports. 6(1). 35374–35374. 58 indexed citations
19.
Tata, Alessandra, Trevor D. McKee, Andréia M. Porcari, et al.. (2016). Variations in the Abundance of Lipid Biomarker Ions in Mass Spectrometry Images Correlate to Tissue Density. Analytical Chemistry. 88(24). 12099–12107. 13 indexed citations
20.

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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