Richard J. A. Goodwin

5.3k total citations
97 papers, 3.1k citations indexed

About

Richard J. A. Goodwin is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Richard J. A. Goodwin has authored 97 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Spectroscopy, 46 papers in Molecular Biology and 11 papers in Computational Mechanics. Recurrent topics in Richard J. A. Goodwin's work include Mass Spectrometry Techniques and Applications (62 papers), Analytical Chemistry and Chromatography (30 papers) and Metabolomics and Mass Spectrometry Studies (28 papers). Richard J. A. Goodwin is often cited by papers focused on Mass Spectrometry Techniques and Applications (62 papers), Analytical Chemistry and Chromatography (30 papers) and Metabolomics and Mass Spectrometry Studies (28 papers). Richard J. A. Goodwin collaborates with scholars based in United Kingdom, Sweden and Australia. Richard J. A. Goodwin's co-authors include Per E. Andrén, Anna Nilsson, Andrew R. Pitt, John G. Swales, Mohammadreza Shariatgorji, Grégory Hamm, C. Logan Mackay, Nicole Strittmatter, Malcolm R. Clench and Josephine Bunch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Richard J. A. Goodwin

93 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard J. A. Goodwin United Kingdom 32 2.0k 1.7k 429 260 188 97 3.1k
Michelle L. Reyzer United States 27 2.3k 1.1× 1.9k 1.2× 457 1.1× 212 0.8× 267 1.4× 52 3.5k
Markus Stoeckli Switzerland 29 3.0k 1.5× 2.3k 1.4× 706 1.6× 334 1.3× 111 0.6× 42 4.3k
Jeffrey M. Spraggins United States 33 2.2k 1.1× 2.4k 1.5× 393 0.9× 223 0.9× 57 0.3× 105 3.7k
Jeremy L. Norris United States 26 2.3k 1.1× 1.8k 1.1× 461 1.1× 216 0.8× 73 0.4× 53 3.1k
Zoe Hall United Kingdom 29 1.4k 0.7× 1.9k 1.1× 240 0.6× 148 0.6× 133 0.7× 45 3.1k
Simona Francese United Kingdom 34 1.1k 0.5× 972 0.6× 207 0.5× 120 0.5× 177 0.9× 85 3.1k
Josephine Bunch United Kingdom 33 2.2k 1.1× 1.7k 1.0× 608 1.4× 384 1.5× 56 0.3× 101 3.5k
Graeme C. McAlister United States 30 3.0k 1.5× 3.2k 2.0× 162 0.4× 182 0.7× 256 1.4× 55 4.7k
Shane R. Ellis Netherlands 32 2.0k 1.0× 1.9k 1.1× 347 0.8× 195 0.8× 38 0.2× 95 3.1k
Ingela Lanekoff Sweden 24 1.3k 0.6× 1.1k 0.7× 355 0.8× 346 1.3× 35 0.2× 58 2.0k

Countries citing papers authored by Richard J. A. Goodwin

Since Specialization
Citations

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

Fields of papers citing papers by Richard J. A. Goodwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard J. A. Goodwin. 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 Richard J. A. Goodwin. The network helps show where Richard J. A. Goodwin may publish in the future.

Co-authorship network of co-authors of Richard J. A. Goodwin

This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. A. Goodwin. A scholar is included among the top collaborators of Richard J. A. Goodwin 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 Richard J. A. Goodwin. Richard J. A. Goodwin 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.
Raşid, Orhan, Heather Hulme, Richard Burchmore, et al.. (2025). Spatial mapping of dextran sodium sulphate‐induced intestinal inflammation and its systemic effects. The FASEB Journal. 39(4). e70415–e70415. 1 indexed citations
2.
Hulme, Heather, Vicky Taylor, Orhan Raşid, et al.. (2025). Spatial metabolic and phenotypic characterization of the germ‐free mouse model. Annals of the New York Academy of Sciences. 1551(1). 242–256. 1 indexed citations
3.
Vujić, Ana, Guillaume Bidault, Jan Lj. Miljković, et al.. (2025). Loss of RET-ROS at complex I induces diastolic dysfunction in mice that is reversed by aerobic exercise. American Journal of Physiology-Heart and Circulatory Physiology. 329(1). H154–H168.
4.
Keenan, Michael R., Gustavo F. Trindade, Alexander Pirkl, et al.. (2025). Orbitrap noise structure and method for noise unbiased multivariate analysis. Nature Communications. 16(1). 6398–6398. 2 indexed citations
5.
Hamidinekoo, Azam, Jim Mortimer, Arthur Lewis, et al.. (2025). Virtual Histological Staining as a Tool for Extending Renal Segmentation Across Stains. Modern Pathology. 38(12). 100842–100842.
6.
Ling, Stephanie, Alex Dexter, Alan Race, et al.. (2025). Use of metabolic imaging to monitor heterogeneity of tumour response following therapeutic mTORC1/2 pathway inhibition. Disease Models & Mechanisms. 18(2). 2 indexed citations
7.
Li, Xiang, et al.. (2024). Microbiome-derived metabolite effects on intestinal barrier integrity and immune cell response to infection. Microbiology. 170(10). 3 indexed citations
8.
Sushentsev, Nikita, Grégory Hamm, Stephanie Ling, et al.. (2024). Metabolic imaging across scales reveals distinct prostate cancer phenotypes. Nature Communications. 15(1). 5980–5980. 3 indexed citations
9.
Cross, Neil A., David P. Smith, Malcolm R. Clench, et al.. (2024). Multimodal Mass Spectrometry Imaging of an Osteosarcoma Multicellular Tumour Spheroid Model to Investigate Drug-Induced Response. Metabolites. 14(6). 315–315. 2 indexed citations
10.
Mottahedin, Amin, Hiran A. Prag, Christina Schmidt, et al.. (2023). Targeting succinate metabolism to decrease brain injury upon mechanical thrombectomy treatment of ischemic stroke. Redox Biology. 59. 102600–102600. 33 indexed citations
11.
Dannhorn, Andreas, M. Luísa Dória, James S. McKenzie, et al.. (2023). Targeted Desorption Electrospray Ionization Mass Spectrometry Imaging for Drug Distribution, Toxicity, and Tissue Classification Studies. Metabolites. 13(3). 377–377. 10 indexed citations
12.
Graziano, Vincenzo, Andreas Dannhorn, Heather Hulme, et al.. (2023). Defining the spatial distribution of extracellular adenosine revealed a myeloid-dependent immunosuppressive microenvironment in pancreatic ductal adenocarcinoma. Journal for ImmunoTherapy of Cancer. 11(8). e006457–e006457. 10 indexed citations
13.
Sushentsev, Nikita, Grégory Hamm, Mary A. McLean, et al.. (2023). Imaging tumor lactate is feasible for identifying intermediate-risk prostate cancer patients with postsurgical biochemical recurrence. Proceedings of the National Academy of Sciences. 120(49). e2312261120–e2312261120. 5 indexed citations
14.
Prag, Hiran A., Dunja Aksentijević, Andreas Dannhorn, et al.. (2022). Ischemia-Selective Cardioprotection by Malonate for Ischemia/Reperfusion Injury. Circulation Research. 131(6). 528–541. 58 indexed citations
15.
Dannhorn, Andreas, Stephanie Ling, Steven J. Powell, et al.. (2021). Evaluation of UV-C Decontamination of Clinical Tissue Sections for Spatially Resolved Analysis by Mass Spectrometry Imaging (MSI). Analytical Chemistry. 93(5). 2767–2775. 5 indexed citations
16.
Chung, Michael, Stephen Mitchell, Kristin Fabre, et al.. (2021). A SERS-Active Electrospun Polymer Mesh for Spatially Localized pH Measurements of the Cellular Microenvironment. Analytical Chemistry. 93(41). 13844–13851. 10 indexed citations
17.
Strittmatter, Nicole, R. England, Alan Race, et al.. (2021). Method to Investigate the Distribution of Water-Soluble Drug-Delivery Systems in Fresh Frozen Tissues Using Imaging Mass Cytometry. Analytical Chemistry. 93(8). 3742–3749. 6 indexed citations
18.
Hamm, Grégory, Stephanie Ling, Neil A. Cross, et al.. (2020). Characterization of an Aggregated Three-Dimensional Cell Culture Model by Multimodal Mass Spectrometry Imaging. Analytical Chemistry. 92(18). 12538–12547. 49 indexed citations
19.
Cobice, Diego, Dawn E. W. Livingstone, C. Logan Mackay, et al.. (2016). Spatial Localization and Quantitation of Androgens in Mouse Testis by Mass Spectrometry Imaging. Analytical Chemistry. 88(21). 10362–10367. 54 indexed citations
20.
Goodwin, Richard J. A., Suzanne L. Iverson, & Per E. Andrén. (2012). The significance of ambient‐temperature on pharmaceutical and endogenous compound abundance and distribution in tissues sections when analyzed by matrix‐assisted laser desorption/ionization mass spectrometry imaging. Rapid Communications in Mass Spectrometry. 26(5). 494–498. 30 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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