Michael J. Graziano

1.1k total citations
56 papers, 801 citations indexed

About

Michael J. Graziano is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Michael J. Graziano has authored 56 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in Michael J. Graziano's work include Diabetes Treatment and Management (5 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Carcinogens and Genotoxicity Assessment (4 papers). Michael J. Graziano is often cited by papers focused on Diabetes Treatment and Management (5 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Carcinogens and Genotoxicity Assessment (4 papers). Michael J. Graziano collaborates with scholars based in United States, Germany and United Kingdom. Michael J. Graziano's co-authors include John E. Casida, Alan Brown, Cho‐Ming Loi, Cynthia L. Courtney, Evan B. Janovitz, Timothy P. Reilly, Andrew L. Waterhouse, Raja S. Mangipudy, Gary D. Pilcher and H. W. Dorough and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and Journal of Agricultural and Food Chemistry.

In The Last Decade

Michael J. Graziano

53 papers receiving 757 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 J. Graziano United States 18 400 195 130 102 80 56 801
Francesca Conserva Italy 14 449 1.1× 244 1.3× 115 0.9× 36 0.4× 55 0.7× 26 774
Jyan-Gwo J. Su Taiwan 13 779 1.9× 111 0.6× 130 1.0× 111 1.1× 73 0.9× 21 1.2k
Yujie Sun China 15 524 1.3× 314 1.6× 95 0.7× 37 0.4× 94 1.2× 32 770
Vishva M. Sharma United States 17 843 2.1× 233 1.2× 236 1.8× 124 1.2× 69 0.9× 26 1.4k
Matthew J. van Zwieten United States 15 305 0.8× 185 0.9× 385 3.0× 92 0.9× 31 0.4× 21 949
Haejin Yoon South Korea 20 1.0k 2.6× 499 2.6× 179 1.4× 42 0.4× 94 1.2× 29 1.6k
Masahiko Shibazaki Japan 18 581 1.5× 310 1.6× 188 1.4× 30 0.3× 59 0.7× 33 1.1k
Catherine T. Anthony United States 20 444 1.1× 103 0.5× 204 1.6× 144 1.4× 112 1.4× 39 1.0k
Teresa W. Wilborn United States 15 369 0.9× 60 0.3× 117 0.9× 100 1.0× 55 0.7× 22 683
James M. Bugni United States 12 546 1.4× 280 1.4× 248 1.9× 30 0.3× 97 1.2× 16 967

Countries citing papers authored by Michael J. Graziano

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Graziano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Graziano

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Graziano. A scholar is included among the top collaborators of Michael J. Graziano 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 J. Graziano. Michael J. Graziano 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.
2.
Clarke, David O., Kevin J. French, Michael W. Leach, et al.. (2024). Opportunities and challenges for use of minipigs in nonclinical pharmaceutical development: Results of a follow-up IQ DruSafe survey. Regulatory Toxicology and Pharmacology. 154. 105729–105729.
3.
Vahle, John L., Michael J. Graziano, Shigeru Hisada, et al.. (2024). ICH S1 prospective evaluation study and weight of evidence assessments: commentary from industry representatives. SHILAP Revista de lepidopterología. 6. 1377990–1377990. 4 indexed citations
4.
5.
Gould, Janet, Irvith M. Carvajal, Jessica Graham, et al.. (2018). Bioavailability of protein therapeutics in rats following inhalation exposure: Relevance to occupational exposure limit calculations. Regulatory Toxicology and Pharmacology. 100. 35–44. 11 indexed citations
6.
Sivaraman, Lakshmi, et al.. (2017). Safety assessment of propylparaben in juvenile rats. Regulatory Toxicology and Pharmacology. 92. 370–381. 7 indexed citations
7.
Guha, Mausumee, James K. Hennan, Damir Simic, et al.. (2017). In vitro and in vivo evaluation of dasatinib and imatinib on physiological parameters of pulmonary arterial hypertension. Cancer Chemotherapy and Pharmacology. 79(4). 711–723. 12 indexed citations
8.
Wang, Faye, Jae Kwagh, Megan K. Fuller, et al.. (2016). Effects of BMS-986094, a Guanosine Nucleotide Analogue, on Mitochondrial DNA Synthesis and Function. Toxicological Sciences. 153(2). 396–408. 10 indexed citations
9.
Fletcher, Anthony M., Susan Bonner‐Weir, Raja S. Mangipudy, et al.. (2013). Occurrence of Spontaneous Pancreatic Lesions in Normal and Diabetic Rats: A Potential Confounding Factor in the Nonclinical Assessment of GLP-1–Based Therapies. Diabetes. 63(4). 1303–1314. 29 indexed citations
10.
Datta, Kasturi, Michael J. Graziano, & Cynthia L. Courtney. (2003). Toxicity of the fibroblast growth factor inhibitor, PD 176067, in juvenile and adult dogs. Toxicological Sciences. 72. 386. 4 indexed citations
11.
Graziano, Michael J., et al.. (2001). Induction of Apoptosis in Rat Peripheral Blood Lymphocytes by the Anticancer Drug CI‐994 (Acetyldinaline). BioMed Research International. 1(2). 52–61. 25 indexed citations
12.
Graziano, Michael J., et al.. (1999). Immunotoxicity of the anticancer drug CI-994 in rats: effects on lymphoid tissue. Archives of Toxicology. 73(3). 168–174. 6 indexed citations
13.
Graziano, Michael J., et al.. (1997). Preclinical toxicity of a new oral anticancer drug, CI-994 (Acetyldinaline), in rats and dogs. Investigational New Drugs. 15(4). 295–310. 18 indexed citations
14.
Graziano, Michael J.. (1996). Carcinogenicity of the Anticancer Topoisomerase Inhibitor, Amsacrine, in Wistar Rats. Fundamental and Applied Toxicology. 32(1). 53–65. 3 indexed citations
15.
Robertson, Donald G., Brian R. Krause, Devin Welty, et al.. (1995). Hepatic microsomal induction profile of carbamic acid [[2,6-bis(1-methylethyl)phenoxy] sulfonyl]-2,6-bis(1-methylethyl) phenyl ester, monosodium salt (PD138142-15), a novel lipid regulating agent. Biochemical Pharmacology. 49(6). 799–808. 5 indexed citations
16.
Courtney, Cynthia L., et al.. (1992). Granular Basal Cell Tumor in a Wistar Rat. Toxicologic Pathology. 20(1). 122–124. 7 indexed citations
17.
Graziano, Michael J., Andrew L. Waterhouse, & John E. Casida. (1987). Cantharidin poisoning associated with specific binding site in liver. Biochemical and Biophysical Research Communications. 149(1). 79–85. 34 indexed citations
18.
Graziano, Michael J., et al.. (1987). Endothal and cantharidin analogs: relation of structure to herbicidal activity and mammalian toxicity. Journal of Agricultural and Food Chemistry. 35(5). 823–829. 46 indexed citations
19.
Graziano, Michael J., et al.. (1984). In Vitro Hepatic Enzyme Activity in Rats Exposed Nose-Only to Cigarette Smoke. Drug and Chemical Toxicology. 7(5). 489–506. 1 indexed citations
20.
Jung, Andreas, et al.. (1974). Unusual presentation of tuberculosis.. BMJ. 2(5910). 97–98. 4 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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