Terace M. Fletcher

1.8k total citations
35 papers, 1.5k citations indexed

About

Terace M. Fletcher is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Terace M. Fletcher has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 10 papers in Physiology and 7 papers in Genetics. Recurrent topics in Terace M. Fletcher's work include Advanced biosensing and bioanalysis techniques (12 papers), RNA Interference and Gene Delivery (11 papers) and DNA and Nucleic Acid Chemistry (11 papers). Terace M. Fletcher is often cited by papers focused on Advanced biosensing and bioanalysis techniques (12 papers), RNA Interference and Gene Delivery (11 papers) and DNA and Nucleic Acid Chemistry (11 papers). Terace M. Fletcher collaborates with scholars based in United States, Portugal and Spain. Terace M. Fletcher's co-authors include Jeffrey C. Hansen, Gordon L. Hager, Patricia M. Schwarz, Miguel Salazar, Christopher T. Baumann, Ronald G. Wolford, Daekyu Sun, Laurence H. Hurley, Barbour S. Warren and Shih-Fong Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Terace M. Fletcher

35 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Terace M. Fletcher United States 22 1.3k 232 223 131 107 35 1.5k
Adele Rowley United Kingdom 16 1.7k 1.2× 172 0.7× 79 0.4× 43 0.3× 119 1.1× 26 1.9k
Agnieszka Lewandowska Poland 14 873 0.7× 43 0.2× 103 0.5× 52 0.4× 61 0.6× 23 1.1k
Reiko Ohba Japan 13 2.1k 1.5× 146 0.6× 74 0.3× 70 0.5× 269 2.5× 16 2.3k
Jędrzej Małecki Norway 24 1.1k 0.9× 97 0.4× 72 0.3× 70 0.5× 24 0.2× 43 1.3k
Regina‐Maria Kolaitis United States 6 1.3k 1.0× 36 0.2× 52 0.2× 91 0.7× 45 0.4× 7 1.5k
Dig Bijay Mahat United States 11 950 0.7× 71 0.3× 43 0.2× 60 0.5× 70 0.7× 13 1.1k
Jeremy D. O’Connell United States 13 1.0k 0.8× 98 0.4× 46 0.2× 23 0.2× 78 0.7× 15 1.2k
Alexandra Segref Germany 20 2.8k 2.1× 119 0.5× 94 0.4× 62 0.5× 110 1.0× 25 3.0k
Walter OBERTHÜR Germany 16 553 0.4× 75 0.3× 68 0.3× 113 0.9× 13 0.1× 34 986
Michael S. Cosgrove United States 22 1.9k 1.5× 146 0.6× 73 0.3× 74 0.6× 135 1.3× 36 2.2k

Countries citing papers authored by Terace M. Fletcher

Since Specialization
Citations

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

Fields of papers citing papers by Terace M. Fletcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Terace M. Fletcher. 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 Terace M. Fletcher. The network helps show where Terace M. Fletcher may publish in the future.

Co-authorship network of co-authors of Terace M. Fletcher

This figure shows the co-authorship network connecting the top 25 collaborators of Terace M. Fletcher. A scholar is included among the top collaborators of Terace M. Fletcher 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 Terace M. Fletcher. Terace M. Fletcher 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.
Fu, Qiang, et al.. (2011). The Telomere Binding Protein TRF2 Induces Chromatin Compaction. PLoS ONE. 6(4). e19124–e19124. 27 indexed citations
2.
Fu, Qiang, et al.. (2009). The Myb/SANT domain of the telomere-binding protein TRF2 alters chromatin structure. Nucleic Acids Research. 37(15). 5019–5031. 24 indexed citations
3.
Pham, Si M., et al.. (2009). Stress-induced senescence exaggerates postinjury neointimal formation in the old vasculature. American Journal of Physiology-Heart and Circulatory Physiology. 298(1). H66–H74. 20 indexed citations
4.
Duarte, Luís, et al.. (2007). Induction of parallel human telomeric G-quadruplex structures by Sr2+. Biochemical and Biophysical Research Communications. 358(1). 298–303. 42 indexed citations
5.
Seldeen, Kenneth L., et al.. (2007). Interactions of TRF2 with model telomeric ends. Biochemical and Biophysical Research Communications. 363(1). 44–50. 13 indexed citations
6.
Fletcher, Terace M., et al.. (2005). DNA structure-dependent recruitment of telomeric proteins to single-stranded/double-stranded DNA junctions. Biochemical and Biophysical Research Communications. 328(1). 49–56. 21 indexed citations
7.
Fletcher, Terace M.. (2005). Telomerase: a potential therapeutic target for cancer. Expert Opinion on Therapeutic Targets. 9(3). 457–469. 20 indexed citations
8.
Fletcher, Terace M.. (2003). Telomere Higher‐Order Structure and Genomic Instability. IUBMB Life. 55(8). 443–449. 5 indexed citations
9.
Fletcher, Terace M., Barbour S. Warren, Christopher T. Baumann, & Gordon L. Hager. (2003). High-Yield Purification of Functionally Active Glucocorticoid Receptor. Humana Press eBooks. 176. 55–65. 1 indexed citations
10.
Georgel, Philippe, Terace M. Fletcher, Gordon L. Hager, & Jeffrey C. Hansen. (2003). Formation of higher-order secondary and tertiary chromatin structures by genomic mouse mammary tumor virus promoters. Genes & Development. 17(13). 1617–1629. 28 indexed citations
11.
Keeton, Erika Krasnickas, Terace M. Fletcher, Christopher T. Baumann, Gordon L. Hager, & Catharine L. Smith. (2002). Glucocorticoid Receptor Domain Requirements for Chromatin Remodeling and Transcriptional Activation of the Mouse Mammary Tumor Virus Promoter in Different Nucleoprotein Contexts. Journal of Biological Chemistry. 277(31). 28247–28255. 23 indexed citations
12.
13.
Fletcher, Terace M., Byungwoo Ryu, Christopher T. Baumann, et al.. (2000). Structure and Dynamic Properties of a Glucocorticoid Receptor-Induced Chromatin Transition. Molecular and Cellular Biology. 20(17). 6466–6475. 75 indexed citations
14.
Fletcher, Terace M., Byungwoo Ryu, Christopher T. Baumann, et al.. (2000). Structure and Dynamic Properties of a Glucocorticoid Receptor-Induced Chromatin Transition. Molecular and Cellular Biology. 20(17). 6466–6475. 5 indexed citations
15.
Hansen, Jeffrey C., et al.. (1997). Analytical Ultracentrifugation and Agarose Gel Electrophoresis as Tools for Studying Chromatin Folding in Solution. Methods. 12(1). 62–72. 27 indexed citations
16.
Fletcher, Terace M., Miguel Salazar, & Shih-Fong Chen. (1996). Human Telomerase Inhibition by 7-Deaza-2‘-deoxypurine Nucleoside Triphosphates. Biochemistry. 35(49). 15611–15617. 57 indexed citations
17.
Fletcher, Terace M. & Jeffrey C. Hansen. (1996). The Nucleosomal Array: Structure/Function Relationships. Critical Reviews in Eukaryotic Gene Expression. 6(2-3). 149–188. 124 indexed citations
18.
Fletcher, Terace M. & Jeffrey C. Hansen. (1995). Core Histone Tail Domains Mediate Oligonucleosome Folding and Nucleosomal DNA Organization through Distinct Molecular Mechanisms. Journal of Biological Chemistry. 270(43). 25359–25362. 148 indexed citations
19.
Fletcher, Terace M., Philip Serwer, & Jeffrey C. Hansen. (1994). Quantitative Analysis of Macromolecular Conformational Changes Using Agarose Gel Electrophoresis: Application to Chromatin Folding. Biochemistry. 33(36). 10859–10863. 35 indexed citations
20.

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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