Mark A. Dayton

2.1k total citations
23 papers, 1.8k citations indexed

About

Mark A. Dayton is a scholar working on Molecular Biology, Electrochemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Mark A. Dayton has authored 23 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Electrochemistry and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Mark A. Dayton's work include Electrochemical Analysis and Applications (10 papers), Electrochemical sensors and biosensors (8 papers) and Protein Tyrosine Phosphatases (4 papers). Mark A. Dayton is often cited by papers focused on Electrochemical Analysis and Applications (10 papers), Electrochemical sensors and biosensors (8 papers) and Protein Tyrosine Phosphatases (4 papers). Mark A. Dayton collaborates with scholars based in United States, Canada and Spain. Mark A. Dayton's co-authors include R. Mark Wightman, Andrew G. Ewing, Kenneth J. Stutts, Jian Liang, Kerry Blanchard, Briana J. Williams, Leonard Prouty, Seth A. Ettenberg, Maccon Keane and Stan Lipkowitz and has published in prestigious journals such as Blood, The Journal of Immunology and Analytical Chemistry.

In The Last Decade

Mark A. Dayton

23 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark A. Dayton United States 18 815 760 473 464 281 23 1.8k
Li Shen China 20 236 0.3× 169 0.2× 805 1.7× 91 0.2× 58 0.2× 53 1.2k
Raphaël Trouillon Sweden 22 475 0.6× 620 0.8× 598 1.3× 282 0.6× 346 1.2× 53 1.8k
Lin Ren China 19 188 0.2× 125 0.2× 555 1.2× 60 0.1× 169 0.6× 40 994
Tobias Abel Germany 21 34 0.0× 338 0.4× 452 1.0× 401 0.9× 93 0.3× 40 1.6k
David J. Fischer United States 21 73 0.1× 87 0.1× 1.4k 2.9× 107 0.2× 233 0.8× 29 2.0k
Charles R. Hartzell United States 27 239 0.3× 263 0.3× 1.1k 2.2× 63 0.1× 374 1.3× 53 1.8k
Steven E. Kornguth United States 26 44 0.1× 148 0.2× 915 1.9× 34 0.1× 325 1.2× 98 2.1k
Vladimir V. Cherny United States 35 154 0.2× 164 0.2× 2.8k 6.0× 50 0.1× 1.5k 5.4× 88 3.8k
Akiyo Yamauchi Japan 24 46 0.1× 87 0.1× 438 0.9× 140 0.3× 21 0.1× 64 1.7k
Xin Cheng Canada 16 63 0.1× 112 0.1× 277 0.6× 25 0.1× 57 0.2× 31 760

Countries citing papers authored by Mark A. Dayton

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Dayton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Dayton. 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 Mark A. Dayton. The network helps show where Mark A. Dayton may publish in the future.

Co-authorship network of co-authors of Mark A. Dayton

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Dayton. A scholar is included among the top collaborators of Mark A. Dayton 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 Mark A. Dayton. Mark A. Dayton 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.
Gluck, William Larry, Deborah Hurst, Alan R. Yuen, et al.. (2004). Phase I Studies of Interleukin (IL)-2 and Rituximab in B-Cell Non-Hodgkin’s Lymphoma. Clinical Cancer Research. 10(7). 2253–2264. 127 indexed citations
2.
Manzano, Ramón González, Luis M. Montuenga, Mark A. Dayton, et al.. (2002). CL100 expression is down-regulated in advanced epithelial ovarian cancer and its re-expression decreases its malignant potential. Oncogene. 21(28). 4435–4447. 48 indexed citations
3.
Zheng, Jie, Samuel K. Kulp, Yanping Zhang, et al.. (2000). 17 beta-estradiol-regulated expression of protein tyrosine phosphatase gamma gene in cultured human normal breast and breast cancer cells.. PubMed. 20(1A). 11–9. 19 indexed citations
4.
Dayton, Mark A., et al.. (1999). Modulation of CD4 cell cytokine production by colon cancer-associated mucin. Cancer Immunology Immunotherapy. 48(9). 525–532. 9 indexed citations
5.
Liang, Jian, Leonard Prouty, Briana J. Williams, Mark A. Dayton, & Kerry Blanchard. (1998). Acute Mixed Lineage Leukemia With an inv(8)(p11q13) Resulting in Fusion of the Genes for MOZ and TIF2. Blood. 92(6). 2118–2122. 116 indexed citations
6.
Liang, Jian, Leonard Prouty, Briana J. Williams, Mark A. Dayton, & Kerry Blanchard. (1998). Acute Mixed Lineage Leukemia With an inv(8)(p11q13) Resulting in Fusion of the Genes for MOZ and TIF2. Blood. 92(6). 2118–2122. 14 indexed citations
7.
Dayton, Mark A., et al.. (1997). Multiple phosphotyrosine phosphatase mRNAs are expressed in the human lung fibroblast cell line WI-38.. PubMed. 7(4). 241–56. 2 indexed citations
8.
Triozzi, Pierre L., Michael J. Walker, Arthur E. Pellegrini, & Mark A. Dayton. (1996). Isotretinoin and Recombinant Interf eron Alfa-2a Therapy of Metastatic Malignant Melanoma. Cancer Investigation. 14(4). 293–298. 22 indexed citations
9.
Keane, Maccon, et al.. (1996). The protein tyrosine phosphatase DEP-1 is induced during differentiation and inhibits growth of breast cancer cells.. PubMed. 56(18). 4236–43. 115 indexed citations
10.
Benjamin, David C., Vinit Sharma, Thomas J. Knobloch, et al.. (1994). B cell IL-7. Human B cell lines constitutively secrete IL-7 and express IL-7 receptors.. The Journal of Immunology. 152(10). 4749–4757. 60 indexed citations
11.
Dayton, Mark A., Thomas J. Knobloch, & David C. Benjamin. (1992). Human B cell lines express the interferon gamma gene. Cytokine. 4(6). 454–460. 16 indexed citations
12.
Dayton, Mark A., Andrew G. Ewing, & R. Mark Wightman. (1983). Diffusion processes measured at microvoltammetric electrodes in brain tissue. Journal of Electroanalytical Chemistry. 146(1). 189–200. 50 indexed citations
13.
14.
Stutts, Kenneth J., Mark A. Dayton, & R. Mark Wightman. (1982). Integration of differential pulse voltammograms for concentration measurements. Analytical Chemistry. 54(6). 995–998. 30 indexed citations
15.
Ewing, Andrew G., R. Mark Wightman, & Mark A. Dayton. (1982). In vivo voltammetry with electrodes that discriminate between dopamine and ascorbate. Brain Research. 249(2). 361–370. 127 indexed citations
16.
Wightman, R. Mark, et al.. (1981). Microvoltammetric electrodes as in vivo probes. Neuroscience Letters. 24. 1 indexed citations
17.
Dayton, Mark A., Andrew G. Ewing, & R. Mark Wightman. (1981). Evaluation of amphetamine-induced in vivo electrochemical response. European Journal of Pharmacology. 75(2-3). 141–144. 44 indexed citations
18.
Dayton, Mark A., Andrew G. Ewing, & R. Mark Wightman. (1980). Response of microvoltammetric electrodes to homogeneous catalytic and slow heterogeneous charge-transfer reactions. Analytical Chemistry. 52(14). 2392–2396. 274 indexed citations
19.
Dayton, Mark A., et al.. (1980). Faradaic electrochemistry at microvoltammetric electrodes. Analytical Chemistry. 52(6). 946–950. 287 indexed citations
20.
Dayton, Mark A., et al.. (1979). Electrochemical measurement of release of dopamine and 5-hydroxytryptamine from synaptosomes. Life Sciences. 24(10). 917–924. 23 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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