Kim Bujold

610 total citations
18 papers, 501 citations indexed

About

Kim Bujold is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Kim Bujold has authored 18 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Kim Bujold's work include Effects of Radiation Exposure (6 papers), Cholesterol and Lipid Metabolism (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Kim Bujold is often cited by papers focused on Effects of Radiation Exposure (6 papers), Cholesterol and Lipid Metabolism (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Kim Bujold collaborates with scholars based in Canada, United States and Switzerland. Kim Bujold's co-authors include Huy Ong, Sylvie Marleau, Maria Febbraio, Martin G. Sirois, Annie Demers, Roberta Avallone, André Tremblay, Simon Authier, David Rhainds and Khadija Iken and has published in prestigious journals such as The FASEB Journal, International Journal of Radiation Oncology*Biology*Physics and Cardiovascular Research.

In The Last Decade

Kim Bujold

18 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim Bujold Canada 11 255 111 106 85 72 18 501
Hanming Wang China 14 210 0.8× 50 0.5× 84 0.8× 33 0.4× 46 0.6× 30 514
Lele Li China 15 227 0.9× 46 0.4× 66 0.6× 36 0.4× 31 0.4× 33 540
Guillermo L. Lehmann United States 16 489 1.9× 80 0.7× 41 0.4× 175 2.1× 64 0.9× 20 781
Saïd El Shamieh Lebanon 17 507 2.0× 37 0.3× 67 0.6× 60 0.7× 68 0.9× 64 744
Xu Zha China 9 365 1.4× 54 0.5× 45 0.4× 31 0.4× 51 0.7× 24 644
Sahrudaya Nagineni United States 9 222 0.9× 47 0.4× 86 0.8× 38 0.4× 108 1.5× 9 428
Elizabeth Moran United States 9 299 1.2× 106 1.0× 48 0.5× 30 0.4× 51 0.7× 11 562
Doo Jae Lee South Korea 15 405 1.6× 25 0.2× 71 0.7× 88 1.0× 54 0.8× 25 624
Joseph B. Lin United States 12 192 0.8× 43 0.4× 51 0.5× 101 1.2× 45 0.6× 22 413

Countries citing papers authored by Kim Bujold

Since Specialization
Citations

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

Fields of papers citing papers by Kim Bujold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Bujold

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

All Works

18 of 18 papers shown
1.
Ghandhi, Shanaz A., Igor Shuryak, Younghyun Lee, et al.. (2023). Longitudinal multi-omic changes in the transcriptome and proteome of peripheral blood cells after a 4 Gy total body radiation dose to Rhesus macaques. BMC Genomics. 24(1). 139–139. 4 indexed citations
2.
Ballesteros, Cristina, Éric Troncy, Kim Bujold, et al.. (2023). The Spontaneous Incidence of Neurological Clinical Signs in Preclinical Species Using Cage-side Observations or High-definition Video Monitoring: A Retrospective Analysis. International Journal of Toxicology. 43(2). 123–133. 1 indexed citations
3.
Tepper, Jeffrey S., Juergen Pfeiffer, Kim Bujold, et al.. (2020). Novel Toxicology Program to Support the Development of Inhaled VentaProst. International Journal of Toxicology. 39(5). 433–442. 3 indexed citations
4.
Laiakis, Evagelia C., Denise Nishita, Kim Bujold, et al.. (2019). Salivary Metabolomics of Total Body Irradiated Nonhuman Primates Reveals Long-Term Normal Tissue Responses to Radiation. International Journal of Radiation Oncology*Biology*Physics. 105(4). 843–851. 14 indexed citations
5.
Bujold, Kim, Juergen Pfeiffer, James B. Fink, et al.. (2019). Novel methods for the assessment of safety pharmacology and toxicology parameters in anesthetized and ventilated dogs receiving inhaled drugs. Journal of Pharmacological and Toxicological Methods. 99. 106578–106578. 3 indexed citations
6.
Bujold, Kim, et al.. (2019). Novel Methods for the Assessment of Safety Pharmacology and Toxicology Parameters in Anesthetized and Ventilated Dogs Receiving Inhaled Drugs. Journal of Pharmacological and Toxicological Methods. 99. 106595–106595. 1 indexed citations
7.
Pannkuk, Evan L., Evagelia C. Laiakis, Michael Girgis, et al.. (2019). Temporal Effects on Radiation Responses in Nonhuman Primates: Identification of Biofluid Small Molecule Signatures by Gas Chromatography–Mass Spectrometry Metabolomics. Metabolites. 9(5). 98–98. 25 indexed citations
8.
Pannkuk, Evan L., Evagelia C. Laiakis, Kirandeep Gill, et al.. (2019). Liquid Chromatography–Mass Spectrometry-Based Metabolomics of Nonhuman Primates after 4 Gy Total Body Radiation Exposure: Global Effects and Targeted Panels. Journal of Proteome Research. 18(5). 2260–2269. 31 indexed citations
9.
Smith, Laura, Stephen J. Lewis, Simon Authier, et al.. (2018). Pharmacokinetic study of Sudaxine in dog plasma using novel LC–MS/MS method. Drug Testing and Analysis. 11(3). 403–410. 11 indexed citations
10.
Accardi, Michael V., Oreola Donini, Alexis Ascah, et al.. (2018). Characterization of a partial-body irradiation model with oral cavity shielding in nonhuman primates. International Journal of Radiation Biology. 96(1). 100–111. 8 indexed citations
11.
Bujold, Kim, Martin Hauer‐Jensen, Oreola Donini, et al.. (2016). Citrulline as a Biomarker for Gastrointestinal-Acute Radiation Syndrome: Species Differences and Experimental Condition Effects. Radiation Research. 186(1). 71–78. 51 indexed citations
12.
Authier, Simon, Alexis Ascah, Mylène Pouliot, et al.. (2016). Gastroinstestinal motility: Motility and motor migrating complex (MMC) evaluations in rats, dogs and non-human primates. Journal of Pharmacological and Toxicological Methods. 81. 389–390. 2 indexed citations
13.
Bujold, Kim, Karina Furlani Zoccal, David Rhainds, et al.. (2013). EP 80317, a CD36 selective ligand, promotes reverse cholesterol transport in apolipoprotein E-deficient mice. Atherosclerosis. 229(2). 408–414. 19 indexed citations
14.
Picard, Émilie, Marianne Houssier, Kim Bujold, et al.. (2010). CD36 plays an important role in the clearance of oxLDL and associated age-dependent sub-retinal deposits. Aging. 2(12). 981–989. 68 indexed citations
15.
Bujold, Kim, et al.. (2009). CD36-mediated cholesterol efflux is associated with PPARγ activation via a MAPK-dependent COX-2 pathway in macrophages. Cardiovascular Research. 83(3). 457–464. 49 indexed citations
16.
18.
Marleau, Sylvie, Kim Bujold, Roberta Avallone, et al.. (2005). EP 80317, a ligand of the CD36 scavenger receptor, protects apolipoprotein E‐deficient mice from developing atherosclerotic lesions. The FASEB Journal. 19(13). 1869–1871. 99 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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