Suzanne L. Iverson

1.2k total citations
16 papers, 836 citations indexed

About

Suzanne L. Iverson is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Suzanne L. Iverson has authored 16 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Spectroscopy and 3 papers in Organic Chemistry. Recurrent topics in Suzanne L. Iverson's work include Mass Spectrometry Techniques and Applications (6 papers), Analytical Chemistry and Chromatography (5 papers) and Synthesis of Indole Derivatives (2 papers). Suzanne L. Iverson is often cited by papers focused on Mass Spectrometry Techniques and Applications (6 papers), Analytical Chemistry and Chromatography (5 papers) and Synthesis of Indole Derivatives (2 papers). Suzanne L. Iverson collaborates with scholars based in Sweden, United States and United Kingdom. Suzanne L. Iverson's co-authors include Sten Orrenius, Jack Uetrecht, Richard J. A. Goodwin, Judy L. Bolton, Per E. Andrén, C. Logan Mackay, Anna Nilsson, Li Shen, David J. Harrison and Vladimir Gogvadze and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Chemistry and British Journal of Pharmacology.

In The Last Decade

Suzanne L. Iverson

16 papers receiving 823 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suzanne L. Iverson Sweden 15 432 244 123 92 48 16 836
Timo Mauriala Finland 19 352 0.8× 294 1.2× 42 0.3× 66 0.7× 18 0.4× 22 896
Daniel J. Liberato United States 20 342 0.8× 338 1.4× 56 0.5× 106 1.2× 33 0.7× 38 970
Kwokei Ng United States 18 653 1.5× 747 3.1× 118 1.0× 93 1.0× 66 1.4× 30 1.5k
Beverly B. DaGue United States 16 485 1.1× 397 1.6× 62 0.5× 24 0.3× 54 1.1× 22 1.0k
John G. Swales United Kingdom 19 456 1.1× 545 2.2× 28 0.2× 87 0.9× 100 2.1× 34 1.1k
Mark S. Bolgar United States 17 503 1.2× 283 1.2× 107 0.9× 22 0.2× 21 0.4× 47 1.1k
John A. Masucci United States 19 455 1.1× 272 1.1× 93 0.8× 162 1.8× 7 0.1× 50 1.0k
Inhou Chu United States 15 212 0.5× 285 1.2× 95 0.8× 88 1.0× 19 0.4× 22 631
Brian G. Lawhorn United States 14 439 1.0× 280 1.1× 103 0.8× 19 0.2× 32 0.7× 22 820
Yongxin Zhu United States 20 441 1.0× 521 2.1× 34 0.3× 67 0.7× 99 2.1× 54 1.2k

Countries citing papers authored by Suzanne L. Iverson

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne L. Iverson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne L. Iverson. 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 Suzanne L. Iverson. The network helps show where Suzanne L. Iverson may publish in the future.

Co-authorship network of co-authors of Suzanne L. Iverson

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

All Works

16 of 16 papers shown
1.
Ploj, Karolina, Lambertus Benthem, Peter Gennemark, et al.. (2016). Effects of a novel potent melanin‐concentrating hormone receptor 1 antagonist, AZD1979, on body weight homeostasis in mice and dogs. British Journal of Pharmacology. 173(18). 2739–2751. 19 indexed citations
2.
Goodwin, Richard J. A., Anna Nilsson, C. Logan Mackay, et al.. (2015). Exemplifying the Screening Power of Mass Spectrometry Imaging over Label-Based Technologies for Simultaneous Monitoring of Drug and Metabolite Distributions in Tissue Sections. SLAS DISCOVERY. 21(2). 187–193. 28 indexed citations
3.
Swales, John G., James W. Tucker, Suzanne L. Iverson, et al.. (2015). Mapping Drug Distribution in Brain Tissue Using Liquid Extraction Surface Analysis Mass Spectrometry Imaging. Analytical Chemistry. 87(19). 10146–10152. 51 indexed citations
4.
Haglund, Johanna, Magnus M. Halldin, Åsa Brunnström, et al.. (2014). Pragmatic Approaches to Determine the Exposures of Drug Metabolites in Preclinical and Clinical Subjects in the MIST Evaluation of the Clinical Development Phase. Chemical Research in Toxicology. 27(4). 601–610. 7 indexed citations
5.
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
6.
Goodwin, Richard J. A., Anna Nilsson, Pat R. R. Langridge‐Smith, et al.. (2012). Conductive carbon tape used for support and mounting of both whole animal and fragile heat-treated tissue sections for MALDI MS imaging and quantitation. Journal of Proteomics. 75(16). 4912–4920. 47 indexed citations
7.
Berkel, Gary J. Van, Kathryn Pickup, Roderic O. Cole, et al.. (2011). Utility of spatially-resolved atmospheric pressure surface sampling and ionization techniques as alternatives to mass spectrometric imaging (MSI) in drug metabolism. Xenobiotica. 41(8). 720–734. 32 indexed citations
8.
9.
Iverson, Suzanne L., et al.. (2010). Effect of Clozapine on Neutrophil Kinetics in Rabbits. Chemical Research in Toxicology. 23(7). 1184–1191. 21 indexed citations
10.
Iverson, Suzanne L., Mari Enoksson, Vladimir Gogvadze, Martin Ott, & Sten Orrenius. (2004). Cardiolipin Is Not Required for Bax-mediated Cytochrome c Release from Yeast Mitochondria. Journal of Biological Chemistry. 279(2). 1100–1107. 65 indexed citations
11.
Iverson, Suzanne L. & Sten Orrenius. (2004). The cardiolipin–cytochrome c interaction and the mitochondrial regulation of apoptosis. Archives of Biochemistry and Biophysics. 423(1). 37–46. 194 indexed citations
12.
13.
Iverson, Suzanne L. & Jack Uetrecht. (2001). Identification of a Reactive Metabolite of Terbinafine:  Insights into Terbinafine-Induced Hepatotoxicity. Chemical Research in Toxicology. 14(2). 175–181. 116 indexed citations
14.
Bolton, Judy L., Emily Pisha, Li Shen, et al.. (1997). The reactivity of o-quinones which do not isomerize to quinone methides correlates with alkylcatechol-induced toxicity in human melanoma cells. Chemico-Biological Interactions. 106(2). 133–148. 21 indexed citations
15.
Iverson, Suzanne L., et al.. (1996). Bioactivation of Estrone and Its Catechol Metabolites to Quinoid−Glutathione Conjugates in Rat Liver Microsomes. Chemical Research in Toxicology. 9(2). 492–499. 71 indexed citations
16.
Iverson, Suzanne L., et al.. (1995). The Influence of the p-Alkyl Substituent on the Isomerization of o-Quinones to p-Quinone Methides: Potential Bioactivation Mechanism for Catechols. Chemical Research in Toxicology. 8(4). 537–544. 43 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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