Kara Pearson

428 total citations
15 papers, 311 citations indexed

About

Kara Pearson is a scholar working on Oncology, Pharmacology and Molecular Biology. According to data from OpenAlex, Kara Pearson has authored 15 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Pharmacology and 3 papers in Molecular Biology. Recurrent topics in Kara Pearson's work include Drug-Induced Hepatotoxicity and Protection (4 papers), Drug Transport and Resistance Mechanisms (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Kara Pearson is often cited by papers focused on Drug-Induced Hepatotoxicity and Protection (4 papers), Drug Transport and Resistance Mechanisms (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Kara Pearson collaborates with scholars based in United States, Australia and Malaysia. Kara Pearson's co-authors include Henry M. Fales, Lewis K. Pannell, M. Dubar, Éric Vicaut, L. Bergougnan, Frank LaCreta, Fabrice Hurbin, Laurent Perrin, Tabassome Simon and Deepak L. Bhatt and has published in prestigious journals such as Analytical Chemistry, Antimicrobial Agents and Chemotherapy and Clinical Pharmacology & Therapeutics.

In The Last Decade

Kara Pearson

15 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kara Pearson United States 8 107 73 62 62 47 15 311
Kiyoshi Mihara Japan 11 126 1.2× 37 0.5× 56 0.9× 118 1.9× 37 0.8× 34 432
James Mitroka United States 12 156 1.5× 141 1.9× 79 1.3× 145 2.3× 16 0.3× 22 487
Aiji Miyashita Japan 11 127 1.2× 51 0.7× 32 0.5× 178 2.9× 50 1.1× 20 451
PE Rolan United Kingdom 6 75 0.7× 28 0.4× 25 0.4× 63 1.0× 34 0.7× 7 382
Shirin Bruderer Switzerland 15 182 1.7× 43 0.6× 288 4.6× 52 0.8× 26 0.6× 26 620
Stephan Riedmaier Germany 8 106 1.0× 24 0.3× 18 0.3× 129 2.1× 75 1.6× 8 322
Pascal Druzgala United States 11 106 1.0× 15 0.2× 61 1.0× 39 0.6× 58 1.2× 24 456
Hongrong Xu China 12 80 0.7× 36 0.5× 11 0.2× 29 0.5× 50 1.1× 29 291
Takehisa Matsumaru Japan 7 85 0.8× 42 0.6× 20 0.3× 96 1.5× 24 0.5× 12 354
Shuaibing Liu China 11 97 0.9× 11 0.2× 57 0.9× 70 1.1× 22 0.5× 36 319

Countries citing papers authored by Kara Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Kara Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kara Pearson

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

All Works

15 of 15 papers shown
1.
Fawaz, Maria V., Hubert Josien, Kara Pearson, et al.. (2024). Leveraging High-Resolution Ion Mobility-Mass Spectrometry for Cyclic Peptide Soft Spot Identification. Journal of the American Society for Mass Spectrometry. 35(11). 2596–2607. 3 indexed citations
2.
Fawaz, Maria V., et al.. (2024). Rapid and Definitive Identification of Cyclic Peptide Soft Spots by Isotope-Labeled Reductive Dimethylation and Mass Spectrometry Fragmentation. Analytical Chemistry. 96(19). 7756–7762. 2 indexed citations
3.
LaFranco-Scheuch, Lisa, Vasudevan Bakthavatchalu, Julie T. Ziegler, et al.. (2023). Effects of LRRK2 Inhibitors in Nonhuman Primates. Toxicologic Pathology. 51(5). 232–245. 4 indexed citations
4.
Teng, Shu‐Wen, Michael J. Hafey, Jeanine Ballard, et al.. (2022). Physiologically-based modeling of cholate disposition in beagle dog with and without treatment of the liver transporter inhibitor simeprevir. Computational Toxicology. 22. 100224–100224. 1 indexed citations
5.
Bowen, Joanne M., Kara Pearson, Raymond J. Gonzalez, et al.. (2021). The application of cytokeratin-18 as a biomarker for drug-induced liver injury. Archives of Toxicology. 95(11). 3435–3448. 32 indexed citations
6.
Aslamkhan, Amy G., Qiuwei Xu, Stephen Pacchione, et al.. (2020). Characterization of indoleamine-2,3-dioxygenase 1, tryptophan-2,3-dioxygenase, and Ido1/Tdo2 knockout mice. Toxicology and Applied Pharmacology. 406. 115216–115216. 6 indexed citations
7.
Podtelezhnikov, Alexei A., Amy G. Aslamkhan, Kara Pearson, et al.. (2020). Quantitative Transcriptional Biomarkers of Xenobiotic Receptor Activation in Rat Liver for the Early Assessment of Drug Safety Liabilities. Toxicological Sciences. 175(1). 98–112. 28 indexed citations
8.
Xu, Qiuwei, Liping Liu, Amy G. Aslamkhan, et al.. (2019). Can Galactose Be Converted to Glucose in HepG2 Cells? Improving the in Vitro Mitochondrial Toxicity Assay for the Assessment of Drug Induced Liver Injury. Chemical Research in Toxicology. 32(8). 1528–1544. 15 indexed citations
9.
Li, Yutai, Raymond Evers, Michael J. Hafey, et al.. (2019). Use of a Bile Salt Export Pump Knockdown Rat Susceptibility Model to Interrogate Mechanism of Drug-Induced Liver Toxicity. Toxicological Sciences. 170(1). 180–198. 7 indexed citations
10.
Qin, Chunhua, Amy G. Aslamkhan, Kara Pearson, et al.. (2019). AhR Activation in Pharmaceutical Development: Applying Liver Gene Expression Biomarker Thresholds to Identify Doses Associated With Tumorigenic Risks in Rats. Toxicological Sciences. 171(1). 46–55. 16 indexed citations
11.
Erdős, Zoltán, Kara Pearson, Michael Goedken, et al.. (2013). Inhibin B Response to Testicular Toxicants Hexachlorophene, Ethane Dimethane Sulfonate, Di‐(n‐butyl)‐phthalate, Nitrofurazone, DL‐Ethionine, 17‐alpha Ethinylestradiol, 2,5‐Hexanedione, or Carbendazim Following Short‐Term Dosing in Male Rats. Birth Defects Research Part B Developmental and Reproductive Toxicology. 98(1). 41–53. 8 indexed citations
12.
Simon, Tabassome, Deepak L. Bhatt, L. Bergougnan, et al.. (2011). Genetic Polymorphisms and the Impact of a Higher Clopidogrel Dose Regimen on Active Metabolite Exposure and Antiplatelet Response in Healthy Subjects. Clinical Pharmacology & Therapeutics. 90(2). 287–295. 69 indexed citations
13.
Levenson, Robin B., Kara Pearson, Anuradha Saokar, et al.. (2011). Image-guided Drainage of Tuboovarian Abscesses of Gastrointestinal or Genitourinary Origin: A Retrospective Analysis. Journal of Vascular and Interventional Radiology. 22(5). 678–686. 22 indexed citations
14.
Davis, David A., Elizabeth Read-Connole, Kara Pearson, et al.. (2002). Oxidative Modifications of Kynostatin-272, a Potent Human Immunodeficiency Virus Type 1 Protease Inhibitor: Potential Mechanism for Altered Activity in Monocytes/Macrophages. Antimicrobial Agents and Chemotherapy. 46(2). 402–408. 4 indexed citations
15.
Pearson, Kara, Lewis K. Pannell, & Henry M. Fales. (2001). Intramolecular cross‐linking experiments on cytochrome c and ribonuclease A using an isotope multiplet method. Rapid Communications in Mass Spectrometry. 16(3). 149–159. 94 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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