Magali Guffroy

1.4k total citations
27 papers, 640 citations indexed

About

Magali Guffroy is a scholar working on Immunology, Small Animals and Molecular Biology. According to data from OpenAlex, Magali Guffroy has authored 27 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Small Animals and 6 papers in Molecular Biology. Recurrent topics in Magali Guffroy's work include Animal testing and alternatives (5 papers), Immunotoxicology and immune responses (4 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Magali Guffroy is often cited by papers focused on Animal testing and alternatives (5 papers), Immunotoxicology and immune responses (4 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Magali Guffroy collaborates with scholars based in United States, France and United Kingdom. Magali Guffroy's co-authors include Jean‐Michel Poul, Andrea T. Hooper, Thierry Godard, Jean‐Charles Gautier, Hadi Falahatpisheh, Michel Laurentie, Mona I. Churchwell, Daniel R. Doerge, Ernie Harpur and David Hoffman and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and Carcinogenesis.

In The Last Decade

Magali Guffroy

24 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Magali Guffroy United States 12 225 136 123 87 75 27 640
Fengmei Wang China 15 142 0.6× 125 0.9× 223 1.8× 44 0.5× 20 0.3× 47 882
Wenguang Fu China 16 128 0.6× 251 1.8× 68 0.6× 79 0.9× 19 0.3× 60 693
Inna Kalickman Israel 11 83 0.4× 160 1.2× 111 0.9× 25 0.3× 23 0.3× 11 514
Zhiyu Liu China 14 172 0.8× 169 1.2× 81 0.7× 50 0.6× 14 0.2× 74 590
Qingqing Zhu China 15 76 0.3× 339 2.5× 245 2.0× 58 0.7× 30 0.4× 29 879
Xiaojun Lin China 24 498 2.2× 218 1.6× 101 0.8× 225 2.6× 24 0.3× 72 1.6k
Rong Yang China 19 152 0.7× 515 3.8× 102 0.8× 178 2.0× 41 0.5× 79 1.1k
Zitong Zhao China 21 170 0.8× 580 4.3× 101 0.8× 313 3.6× 59 0.8× 55 1.0k
J. O’Shaughnessy United States 9 149 0.7× 183 1.3× 136 1.1× 50 0.6× 30 0.4× 11 512

Countries citing papers authored by Magali Guffroy

Since Specialization
Citations

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

Fields of papers citing papers by Magali Guffroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magali Guffroy

This figure shows the co-authorship network connecting the top 25 collaborators of Magali Guffroy. A scholar is included among the top collaborators of Magali Guffroy 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 Magali Guffroy. Magali Guffroy 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.
Guffroy, Magali, et al.. (2025). Investigation of bone toxicity in drug development: review of current and emerging technologies. Toxicological Sciences. 208(2). 207–224.
2.
3.
Palazzi, Xavier, Armelle Grevot, Magali Guffroy, et al.. (2024). Points to consider regarding the use and implementation of virtual controls in nonclinical general toxicology studies. Regulatory Toxicology and Pharmacology. 150. 105632–105632. 8 indexed citations
4.
Grevot, Armelle, Julie Boisclair, Magali Guffroy, et al.. (2023). Toxicologic Pathology Forum Opinion Piece: Use of Virtual Control Groups in Nonclinical Toxicity Studies: The Anatomic Pathology Perspective. Toxicologic Pathology. 51(6). 390–396.
5.
Himmel, Lauren E., et al.. (2021). Deep Learning Approaches and Applications in Toxicologic Histopathology: Current Status and Future Perspectives. Journal of Pathology Informatics. 12(1). 42–42. 14 indexed citations
6.
Zabka, Tanja S., John E. Burkhardt, William J. Reagan, et al.. (2020). The use of emerging safety biomarkers in nonclinical and clinical safety assessment – The current and future state: An IQ DruSafe industry survey. Regulatory Toxicology and Pharmacology. 120. 104857–104857. 2 indexed citations
7.
Zhong, Wenyan, Jeremy S. Myers, Fang Wang, et al.. (2020). Comparison of the molecular and cellular phenotypes of common mouse syngeneic models with human tumors. BMC Genomics. 21(1). 2–2. 113 indexed citations
8.
Tarcsa, Edit, Magali Guffroy, Hadi Falahatpisheh, Colin Phipps, & J. Cory Kalvass. (2020). Antibody-drug conjugates as targeted therapies: Are we there yet? A critical review of the current clinical landscape. Drug Discovery Today Technologies. 37. 13–22. 41 indexed citations
9.
Ji, Changhua, Marc D. Roy, Jonathan Golas, et al.. (2019). Myocarditis in Cynomolgus Monkeys Following Treatment with Immune Checkpoint Inhibitors. Clinical Cancer Research. 25(15). 4735–4748. 91 indexed citations
10.
Guffroy, Magali, Hadi Falahatpisheh, John M. Kreeger, et al.. (2016). Liver Microvascular Injury and Thrombocytopenia of Antibody–Calicheamicin Conjugates in Cynomolgus Monkeys—Mechanism and Monitoring. Clinical Cancer Research. 23(7). 1760–1770. 47 indexed citations
11.
Geles, Kenneth G., Yijie Gao, Latha Sridharan, et al.. (2015). Abstract 1697: Therapeutic targeting the NOTCH3 receptor with antibody drug conjugates. Cancer Research. 75(15_Supplement). 1697–1697. 5 indexed citations
12.
Harpur, Ernie, Daniela Ennulat, David Hoffman, et al.. (2011). Biological Qualification of Biomarkers of Chemical-Induced Renal Toxicity in Two Strains of Male Rat. Toxicological Sciences. 122(2). 235–252. 94 indexed citations
13.
Fontbonne, Alain, et al.. (2009). Induction of Parturition with Aglepristone in Various Sized Bitches of Different Breeds.. Reproduction in Domestic Animals. 44(s2). 170–173. 11 indexed citations
14.
Guffroy, Magali, et al.. (2004). Evaluation of tissue perfusion (tumor, spleen, heart) in mice after administration of AVE8062, a tumor vascular-targeting agent. Cancer Research. 64. 1255–1255. 3 indexed citations
15.
Godard, Thierry, Daniel R. Doerge, Mona I. Churchwell, et al.. (2004). DNA damage and DNA adduct formation in rat tissues following oral administration of acrylamide. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 580(1-2). 119–129. 87 indexed citations
16.
Guffroy, Magali, et al.. (2001). Effects of griseofulvin in medium‐term liver carcinogenesis assay and peripheral blood micronucleus test in rat. Teratogenesis Carcinogenesis and Mutagenesis. 21(6). 441–451. 8 indexed citations
17.
18.
Dykes, Nathan L., Amy E. Yeager, Bruce G. Kornreich, et al.. (1998). A Syndrome Resembling Idiopathic Noncirrhotic Portal Hypertension in 4 Young Doberman Pinschers. Journal of Veterinary Internal Medicine. 12(3). 147–156. 9 indexed citations
19.
Blue, Julia T., et al.. (1996). Intracellular Myelin in Cerebrospinal Fluid From a Dog With Myelomalacia. Veterinary Clinical Pathology. 25(4). 124–126. 9 indexed citations
20.
Millecamps, Stéphanie, et al.. (1996). One-month intravenous toxicity studies of poloxamer 188 in male sprague-dawley rats and in beagle dogs. Toxicology Letters. 88. 101–101. 5 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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