Marcia I. Dawson

11.2k total citations · 3 hit papers
170 papers, 9.0k citations indexed

About

Marcia I. Dawson is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marcia I. Dawson has authored 170 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Molecular Biology, 64 papers in Genetics and 28 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marcia I. Dawson's work include Retinoids in leukemia and cellular processes (108 papers), Estrogen and related hormone effects (61 papers) and Nuclear Receptors and Signaling (27 papers). Marcia I. Dawson is often cited by papers focused on Retinoids in leukemia and cellular processes (108 papers), Estrogen and related hormone effects (61 papers) and Nuclear Receptors and Signaling (27 papers). Marcia I. Dawson collaborates with scholars based in United States, France and Italy. Marcia I. Dawson's co-authors include Peter D. Hobbs, Joseph A. Fontana, Bingzhen Lin, Zebin Xia, Magnus Pfahl, Siva K. Kolluri, Xihua Cao, Feng Lin, Xiao-kun Zhang and Xiao-kun Zhang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Marcia I. Dawson

169 papers receiving 8.8k citations

Hit Papers

Cytochrome c Release and Apoptosis Induced by Mitochondri... 1992 2026 2003 2014 2000 2004 1992 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcia I. Dawson United States 50 6.5k 2.4k 1.8k 1.8k 1.1k 170 9.0k
Pierre Leroy France 34 3.4k 0.5× 1.6k 0.7× 422 0.2× 592 0.3× 504 0.4× 110 5.7k
Braham Shroot France 37 2.9k 0.4× 878 0.4× 398 0.2× 695 0.4× 544 0.5× 138 4.5k
Antimo Migliaccio Italy 42 4.1k 0.6× 3.3k 1.4× 334 0.2× 577 0.3× 103 0.1× 117 7.9k
Yubin Zhou United States 45 3.5k 0.5× 297 0.1× 1.2k 0.7× 734 0.4× 337 0.3× 178 6.1k
Gabriella Castoria Italy 38 3.3k 0.5× 2.6k 1.1× 291 0.2× 465 0.3× 96 0.1× 99 6.7k
Swadesh K. Das United States 44 3.2k 0.5× 629 0.3× 575 0.3× 858 0.5× 119 0.1× 153 6.3k
Vincent Cavaillès France 46 3.8k 0.6× 3.1k 1.3× 425 0.2× 476 0.3× 76 0.1× 144 7.4k
Paul E. DiCorleto United States 48 3.9k 0.6× 411 0.2× 230 0.1× 1.8k 1.0× 920 0.8× 106 8.7k
Ji Li China 38 2.1k 0.3× 485 0.2× 449 0.2× 1.4k 0.8× 93 0.1× 233 5.7k
Frederick E. Domann United States 53 5.0k 0.8× 620 0.3× 135 0.1× 568 0.3× 178 0.2× 162 7.8k

Countries citing papers authored by Marcia I. Dawson

Since Specialization
Citations

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

Fields of papers citing papers by Marcia I. Dawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcia I. Dawson. 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 Marcia I. Dawson. The network helps show where Marcia I. Dawson may publish in the future.

Co-authorship network of co-authors of Marcia I. Dawson

This figure shows the co-authorship network connecting the top 25 collaborators of Marcia I. Dawson. A scholar is included among the top collaborators of Marcia I. Dawson 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 Marcia I. Dawson. Marcia I. Dawson 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
3.
Ye, Mao & Marcia I. Dawson. (2009). Studies of cannabinoid-1 receptor antagonists for the treatment of obesity: Hologram QSAR model for biarylpyrazolyl oxadiazole ligands. Bioorganic & Medicinal Chemistry Letters. 19(12). 3310–3315. 5 indexed citations
4.
Ye, Mao & Marcia I. Dawson. (2008). 3D-QSAR and QSSR studies of 3,8-diazabicyclo[4.2.0]octane derivatives as neuronal nicotinic acetylcholine receptors by comparative molecular field analysis (CoMFA). Bioorganic & Medicinal Chemistry Letters. 19(1). 127–131. 4 indexed citations
5.
Farhana, Lulu, Marcia I. Dawson, Mark Leid, et al.. (2007). Adamantyl-Substituted Retinoid-Related Molecules Bind Small Heterodimer Partner and Modulate the Sin3A Repressor. Cancer Research. 67(1). 318–325. 63 indexed citations
6.
Dawson, Marcia I.. (2004). Synthetic Retinoids and Their Nuclear Receptors. PubMed. 4(3). 199–230. 36 indexed citations
7.
Lin, Bingzhen, Siva K. Kolluri, Feng Lin, et al.. (2004). Conversion of Bcl-2 from Protector to Killer by Interaction with Nuclear Orphan Receptor Nur77/TR3. Cell. 116(4). 527–540. 560 indexed citations breakdown →
8.
Farhana, Lulu, Marcia I. Dawson, Ying Huang, et al.. (2004). Apoptosis signaling by the novel compound 3-Cl-AHPC involves increased EGFR proteolysis and accompanying decreased phosphatidylinositol 3-kinase and AKT kinase activities. Oncogene. 23(10). 1874–1884. 14 indexed citations
9.
Dawson, Marcia I.. (2000). The Importance of Vitamin A in Nutrition. Current Pharmaceutical Design. 6(3). 311–325. 96 indexed citations
10.
White, E. Lucile, Wan‐Ru Chao, Larry J. Ross, et al.. (1999). Michellamine Alkaloids Inhibit Protein Kinase C. Archives of Biochemistry and Biophysics. 365(1). 25–30. 17 indexed citations
11.
Li, Yin, Marcia I. Dawson, Anissa Agadir, et al.. (1998). Regulation of RARβ expression by RAR- and RXR-selective retinoids in human lung cancer cell lines: Effect on growth inhibition and apoptosis induction. International Journal of Cancer. 75(1). 88–95. 66 indexed citations
12.
13.
Lee, Ho‐Young, Marcia I. Dawson, François X. Claret, et al.. (1997). Evidence of a retinoid signaling alteration involving the activator protein 1 complex in tumorigenic human bronchial epithelial cells and non-small cell lung cancer cells.. PubMed. 8(3). 283–91. 17 indexed citations
14.
Hsu, Chin-Yu, Arun K. Rishi, Xiaosu Li, et al.. (1997). Bcl-XLExpression and Its Downregulation by a Novel Retinoid in Breast Carcinoma Cells. Experimental Cell Research. 232(1). 17–24. 20 indexed citations
15.
Fanjul, Andrea, Hakim Bouterfa, Marcia I. Dawson, & Magnus Pfahl. (1996). Potential role for retinoic acid receptor-gamma in the inhibition of breast cancer cells by selective retinoids and interferons.. PubMed. 56(7). 1571–7. 40 indexed citations
16.
Sheikh, Md Sayed Ali, Zhimin Shao, Marcia I. Dawson, et al.. (1994). Retinoid-resistant estrogen receptor-negative human breast carcinoma cells transfected with retinoic acid receptor-alpha acquire sensitivity to growth inhibition by retinoids.. Journal of Biological Chemistry. 269(34). 21440–21447. 95 indexed citations
17.
Balaban, Alexandrù T., Cornel Catana, Marcia I. Dawson, & Ion Niculescu‐Duvaz. (1990). Applications of weighted topological index J for QSAR of carcinogenesis inhibitors (retinoic acid derivatives).. Revue Roumaine de Chimie. 35. 997–1003. 10 indexed citations
18.
Dawson, Marcia I., et al.. (1990). Synthesis and characterization of a ribavirin-3′, 5′-phosphate pentadecamer homoribopolymer bearing a 5′-amino tether group and a 3′-thymidine. Nucleic Acids Research. 18(5). 1099–1102. 3 indexed citations
19.
20.
Fontana, Joseph A., Peter D. Hobbs, & Marcia I. Dawson. (1988). Inhibition of Mammary Carcinoma Growth by Retinoidal Benzoic Acid Derivatives. Pathobiology. 56(5). 254–263. 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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