Michael P. Shakarjian

898 total citations
24 papers, 727 citations indexed

About

Michael P. Shakarjian is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Michael P. Shakarjian has authored 24 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Plant Science. Recurrent topics in Michael P. Shakarjian's work include Neuroscience and Neuropharmacology Research (5 papers), Pesticide Exposure and Toxicity (5 papers) and Animal Ecology and Behavior Studies (4 papers). Michael P. Shakarjian is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Pesticide Exposure and Toxicity (5 papers) and Animal Ecology and Behavior Studies (4 papers). Michael P. Shakarjian collaborates with scholars based in United States, Slovakia and Germany. Michael P. Shakarjian's co-authors include Diane E. Heck, Debra L. Laskin, Joshua P. Gray, Anna M. Vetrano, Jeffrey D. Laskin, Jeffrey D. Laskin, Marion K. Gordon, Robert P. Casillas, Donald R. Gerecke and Patrick J. Sinko and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Annals of the New York Academy of Sciences.

In The Last Decade

Michael P. Shakarjian

24 papers receiving 716 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael P. Shakarjian United States 13 309 249 82 80 62 24 727
Jeffrey D. Laskin United States 11 321 1.0× 83 0.3× 112 1.4× 36 0.5× 24 0.4× 20 837
Qi Sun China 20 449 1.5× 395 1.6× 32 0.4× 25 0.3× 144 2.3× 78 1.2k
Mélody Dutot France 21 274 0.9× 64 0.3× 64 0.8× 25 0.3× 62 1.0× 47 1.0k
Yuping Zhang China 14 437 1.4× 84 0.3× 18 0.2× 134 1.7× 51 0.8× 34 749
Eun-Sook Yoo South Korea 22 352 1.1× 118 0.5× 137 1.7× 23 0.3× 8 0.1× 69 1.1k
Rosanna Avola Italy 17 289 0.9× 107 0.4× 44 0.5× 38 0.5× 9 0.1× 35 752
Uri Wormser Israel 20 625 2.0× 383 1.5× 97 1.2× 117 1.5× 271 4.4× 58 1.5k
Giovanna Montana Italy 17 389 1.3× 55 0.2× 23 0.3× 41 0.5× 25 0.4× 34 775
Patricia Sánchez-Pérez Spain 5 439 1.4× 78 0.3× 18 0.2× 21 0.3× 74 1.2× 9 958
Anna Di Stefano Italy 17 300 1.0× 53 0.2× 43 0.5× 16 0.2× 26 0.4× 41 738

Countries citing papers authored by Michael P. Shakarjian

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Shakarjian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Shakarjian. 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 Michael P. Shakarjian. The network helps show where Michael P. Shakarjian may publish in the future.

Co-authorship network of co-authors of Michael P. Shakarjian

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Shakarjian. A scholar is included among the top collaborators of Michael P. Shakarjian 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 Michael P. Shakarjian. Michael P. Shakarjian 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.
Lauková, Marcela, Eva Kudová, Hana Chodounská, et al.. (2022). Novel neurosteroid pregnanolone pyroglutamate suppresses neurotoxicity syndrome induced by tetramethylenedisulfotetramine but is ineffective in a rodent model of infantile spasms. Pharmacological Reports. 75(1). 177–188. 3 indexed citations
2.
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Lauková, Marcela, Jana Velı́šková, Libor Velı́šek, & Michael P. Shakarjian. (2019). Tetramethylenedisulfotetramine neurotoxicity: What have we learned in the past 70 years?. Neurobiology of Disease. 133. 104491–104491. 7 indexed citations
4.
Shakarjian, Michael P., Marcela Lauková, Jana Velı́šková, et al.. (2016). Tetramethylenedisulfotetramine: pest control gone awry. Annals of the New York Academy of Sciences. 1378(1). 68–79. 6 indexed citations
5.
Xia, Wen, Kristin M. Bircsak, Lauren M. Aleksunes, et al.. (2015). Nrf2 Regulates the Sensitivity of Mouse Keratinocytes to Nitrogen Mustard via Multidrug Resistance-Associated Protein 1 (Mrp1). Toxicological Sciences. 149(1). 202–212. 17 indexed citations
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Heck, Diane E., Vladimir Mishin, Adrienne T. Black, et al.. (2014). Modulation of keratinocyte expression of antioxidants by 4-hydroxynonenal, a lipid peroxidation end product. Toxicology and Applied Pharmacology. 275(2). 113–121. 23 indexed citations
8.
Esposito, Débora, R. Thirumurugan, Barbara M. Schmidt, et al.. (2013). Acceleration of cutaneous wound healing by brassinosteroids. Wound Repair and Regeneration. 21(5). 688–696. 16 indexed citations
9.
Shakarjian, Michael P., Jana Velı́šková, Patric K. Stanton, & Libor Velı́šek. (2012). Differential antagonism of tetramethylenedisulfotetramine-induced seizures by agents acting at NMDA and GABAA receptors. Toxicology and Applied Pharmacology. 265(1). 113–121. 22 indexed citations
10.
Heck, Diane E., et al.. (2010). Mechanisms of oxidant generation by catalase. Annals of the New York Academy of Sciences. 1203(1). 120–125. 130 indexed citations
11.
Shakarjian, Michael P., Diane E. Heck, Joshua P. Gray, et al.. (2009). Mechanisms Mediating the Vesicant Actions of Sulfur Mustard after Cutaneous Exposure. Toxicological Sciences. 114(1). 5–19. 173 indexed citations
12.
Black, Adrienne T., Joshua P. Gray, Michael P. Shakarjian, et al.. (2008). UVB light upregulates prostaglandin synthases and prostaglandin receptors in mouse keratinocytes. Toxicology and Applied Pharmacology. 232(1). 14–24. 28 indexed citations
13.
Black, Amelia, Joshua P. Gray, Michael P. Shakarjian, et al.. (2008). Increased oxidative stress and antioxidant expression in mouse keratinocytes following exposure to paraquat. Toxicology and Applied Pharmacology. 231(3). 384–392. 50 indexed citations
14.
Black, Amelia, Joshua P. Gray, Michael P. Shakarjian, et al.. (2007). Distinct effects of ultraviolet B light on antioxidant expression in undifferentiated and differentiated mouse keratinocytes. Carcinogenesis. 29(1). 219–225. 29 indexed citations
15.
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Shakarjian, Michael P., Marion K. Gordon, Thomas L. Rudge, et al.. (2006). Preferential expression of matrix metalloproteinase‐9 in mouse skin after sulfur mustard exposure. Journal of Applied Toxicology. 26(3). 239–246. 61 indexed citations
17.
Gordon, Marion K., Ran Song, Rita A. Hahn, et al.. (2005). Collagen XXIII Facilitates Adhesion of Corneal Epithelial Cells to Type IV Collagen and Matrigel. Investigative Ophthalmology & Visual Science. 46(13). 869–869. 3 indexed citations
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19.
Shakarjian, Michael P. & Richard A. Carchman. (1990). Alteration of human granulocyte functional responses by menadione. Archives of Biochemistry and Biophysics. 283(1). 1–11. 9 indexed citations
20.
Gessner, Peter K. & Michael P. Shakarjian. (1985). Interactions of paraldehyde with ethanol and chloral hydrate.. Journal of Pharmacology and Experimental Therapeutics. 235(1). 32–36. 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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