Gregory S. Buzard

3.2k total citations
54 papers, 2.6k citations indexed

About

Gregory S. Buzard is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Gregory S. Buzard has authored 54 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 19 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Gregory S. Buzard's work include Cancer-related Molecular Pathways (15 papers), Genetic factors in colorectal cancer (6 papers) and Molecular Biology Techniques and Applications (5 papers). Gregory S. Buzard is often cited by papers focused on Cancer-related Molecular Pathways (15 papers), Genetic factors in colorectal cancer (6 papers) and Molecular Biology Techniques and Applications (5 papers). Gregory S. Buzard collaborates with scholars based in United States, Japan and Russia. Gregory S. Buzard's co-authors include Christopher M. Weghorst, Tadashi Hongyo, Richard J. Calvert, Joseph Locker, Takayuki Enomoto, Isabell A. Sesterhenn, Judd W. Moul, Shiv Srivastava, Kiyoshi Yoshino and Jerry M. Rice and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Cancer.

In The Last Decade

Gregory S. Buzard

54 papers receiving 2.6k citations

Peers

Gregory S. Buzard
Honami Naora United States
Sven Skog Sweden
Christopher Korch United States
Nancy Krett United States
Paul Waring Australia
M Terada United Kingdom
Gregory S. Buzard
Citations per year, relative to Gregory S. Buzard Gregory S. Buzard (= 1×) peers Enrico P. Spugnini

Countries citing papers authored by Gregory S. Buzard

Since Specialization
Citations

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

Fields of papers citing papers by Gregory S. Buzard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory S. Buzard. 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 Gregory S. Buzard. The network helps show where Gregory S. Buzard may publish in the future.

Co-authorship network of co-authors of Gregory S. Buzard

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory S. Buzard. A scholar is included among the top collaborators of Gregory S. Buzard 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 Gregory S. Buzard. Gregory S. Buzard 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.
Jun, Se‐Ran, Michael R. Leuze, Intawat Nookaew, et al.. (2015). Ebolaviruscomparative genomics. FEMS Microbiology Reviews. 39(5). 764–778. 38 indexed citations
2.
Buzard, Gregory S., Daniel L. Baker, Mark Wolcott, David Norwood, & Leslie A. Dauphin. (2012). Multi-platform comparison of ten commercial master mixes for probe-based real-time polymerase chain reaction detection of bioterrorism threat agents for surge preparedness. Forensic Science International. 223(1-3). 292–297. 32 indexed citations
3.
Miltyk, Wojciech, Arkadiusz Surażyński, Kazimierz S. Kasprzak, et al.. (2005). Inhibition of prolidase activity by nickel causes decreased growth of proline auxotrophic CHO cells. Journal of Cellular Biochemistry. 94(6). 1210–1217. 14 indexed citations
4.
Findlay, Victoria J., Danyelle M. Townsend, Joseph E. Saavedra, et al.. (2004). Tumor Cell Responses to a Novel Glutathione S-Transferase–Activated Nitric Oxide-Releasing Prodrug. Molecular Pharmacology. 65(5). 1070–1079. 91 indexed citations
5.
Kanao, Hiroyuki, Takayuki Enomoto, Yutaka Ueda, et al.. (2004). Correlation between p14ARF/p16INK4A expression and HPV infection in uterine cervical cancer. Cancer Letters. 213(1). 31–37. 41 indexed citations
6.
Ozaki, Kouichi, Takayuki Enomoto, Kiyoshi Yoshino, et al.. (2001). Impaired FHIT expression characterizes serous ovarian carcinoma. British Journal of Cancer. 85(2). 247–254. 10 indexed citations
7.
Noguchi, Constance Tom, Mark T. Gladwin, Bhalchandra A. Diwan, et al.. (2001). Pathophysiology of a Sickle Cell Trait Mouse Model: Human αβS Transgenes with One Mouse β-Globin Allele. Blood Cells Molecules and Diseases. 27(6). 971–977. 19 indexed citations
8.
Schlegel, Jürgen, Guido Piontek, Michael Kersting, et al.. (1999). The <i>p16/Cdkn2a/Ink4a</i> Gene Is Frequently Deleted in Nitrosourea-Induced Rat Glial Tumors. Pathobiology. 67(4). 202–206. 33 indexed citations
9.
Nakashima, R, Masami Fujita, Takayuki Enomoto, et al.. (1999). Alteration of p16 and p15 genes in human uterine tumours. British Journal of Cancer. 80(3-4). 458–467. 82 indexed citations
10.
Grace, Marcy B., Gregory S. Buzard, Mark R. Hughes, & Robert E. Gore‐Langton. (1998). Degradable dUMP Outer Primers in Merged Tandem (M/T)-Nested PCR: Low- and Single-Copy DNA Target Amplification. Analytical Biochemistry. 263(1). 85–92. 6 indexed citations
11.
Calvert, Richard J., et al.. (1996). K-ras codon 12 and 61 point mutations in bromodeoxyuridine- and N-nitrosomethylurea-induced rat renal mesenchymal tumors. Cancer Letters. 109(1-2). 1–7. 6 indexed citations
12.
Diwan, Bhalchandra A., Richard J. Calvert, Christopher M. Weghorst, et al.. (1996). Transplacental mutagenicity of cisplatin: H-ras codon 12 and 13 mutations in skin tumors of SENCAR mice. Carcinogenesis. 17(12). 2741–2745. 10 indexed citations
13.
Grace, Marcy B., Gregory S. Buzard, & Bruce D. Weintraub. (1995). Allele-specific associated polymorphism analysis: Novel modification of SSCP for mutation detection in heterozygous alleles using the paradigm of resistance to thyroid hormone. Human Mutation. 6(3). 232–242. 6 indexed citations
14.
Weghorst, Christopher M., et al.. (1995). Cloning and sequence of a processed p53 pseudogene from rat: a potential source of false ‘mutations’ in PCR fragments of tumor DNA. Gene. 166(2). 317–322. 16 indexed citations
15.
Calvert, Richard J., Yasuhito TASHIRO, Gregory S. Buzard, Bhalchandra A. Diwan, & Christopher M. Weghorst. (1995). Lack of p53 point mutations in chemically induced mouse hepatoblastomas: an end-stage, highly malignant hepatocellular tumor. Cancer Letters. 95(1-2). 175–180. 11 indexed citations
16.
Fujita, Masami, Takayuki Enomoto, Kiyoshi Yoshino, et al.. (1995). Microsatellite instability and alterations in the HMSH2 gene in human ovarian cancer. International Journal of Cancer. 64(6). 361–366. 97 indexed citations
17.
Miller, Mark Steven, et al.. (1993). In vivo inhibition of glucocorticoid-inducible gene expression by dimethylnitrosamine in rat liver. Biochemical Pharmacology. 45(7). 1465–1470. 14 indexed citations
18.
Konishi, Noboru, Takayuki Enomoto, Gregory S. Buzard, et al.. (1992). K-ras activation andras p21 expression in latent prostatic carcinoma in Japanese men. Cancer. 69(9). 2293–2299. 81 indexed citations
19.
Wen, Ping, et al.. (1991). Enhancer, Repressor, and Promoter Specificities Combine to Regulate the Rat α-Fetoprotein Gene. DNA and Cell Biology. 10(7). 525–536. 40 indexed citations
20.
Buzard, Gregory S. & Joseph Locker. (1990). The transcription control region of the rat α-fetoprotein gene. DNA sequence and homology studies. DNA sequence. 1(1). 33–48. 16 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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