Cynthia M. Haggerty

711 total citations
23 papers, 603 citations indexed

About

Cynthia M. Haggerty is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Cynthia M. Haggerty has authored 23 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Immunology. Recurrent topics in Cynthia M. Haggerty's work include Genomics and Chromatin Dynamics (5 papers), NF-κB Signaling Pathways (4 papers) and DNA Repair Mechanisms (3 papers). Cynthia M. Haggerty is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), NF-κB Signaling Pathways (4 papers) and DNA Repair Mechanisms (3 papers). Cynthia M. Haggerty collaborates with scholars based in United States, Argentina and United Kingdom. Cynthia M. Haggerty's co-authors include Kevin Gardner, Joel Moss, Esther K. Choo, Wendy Freebern, N. Tony Eissa, Adriana De Siervi, Jung S. Byun, N. Tony Eissa, Temesgen Fufa and Dan L. Longo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Cynthia M. Haggerty

22 papers receiving 597 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Cynthia M. Haggerty 394 131 112 105 94 23 603
M. D. Mostaqul Huq 484 1.2× 107 0.8× 82 0.7× 70 0.7× 63 0.7× 18 611
K. Momomura 631 1.6× 91 0.7× 67 0.6× 55 0.5× 38 0.4× 18 799
Emma Black 436 1.1× 53 0.4× 133 1.2× 123 1.2× 143 1.5× 11 694
Roger W. Babbitt 452 1.1× 269 2.1× 71 0.6× 60 0.6× 54 0.6× 7 706
Hannie Sietsma 751 1.9× 86 0.7× 104 0.9× 282 2.7× 109 1.2× 22 1.0k
Ju Hwan Cho 335 0.9× 70 0.5× 94 0.8× 154 1.5× 138 1.5× 27 585
Mark D. Roos 854 2.2× 61 0.5× 280 2.5× 89 0.8× 90 1.0× 12 1.0k
Stéphanie Trudel 384 1.0× 146 1.1× 113 1.0× 48 0.5× 37 0.4× 32 732
Masami Nagata 482 1.2× 56 0.4× 217 1.9× 74 0.7× 65 0.7× 15 726
Tomoyuki Nakano 591 1.5× 107 0.8× 88 0.8× 88 0.8× 107 1.1× 54 843

Countries citing papers authored by Cynthia M. Haggerty

Since Specialization
Citations

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

Fields of papers citing papers by Cynthia M. Haggerty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cynthia M. Haggerty

This figure shows the co-authorship network connecting the top 25 collaborators of Cynthia M. Haggerty. A scholar is included among the top collaborators of Cynthia M. Haggerty 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 Cynthia M. Haggerty. Cynthia M. Haggerty 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.
Byun, Jung S., Temesgen Fufa, Clay Wakano, et al.. (2012). ELL facilitates RNA polymerase II pause site entry and release. Nature Communications. 3(1). 633–633. 38 indexed citations
2.
Siervi, Adriana De, Paola De Luca, Jung S. Byun, et al.. (2010). Transcriptional Autoregulation by BRCA1. Cancer Research. 70(2). 532–542. 60 indexed citations
3.
Byun, Jung S., Madeline Wong, Wenwu Cui, et al.. (2009). Dynamic bookmarking of primary response genes by p300 and RNA polymerase II complexes. Proceedings of the National Academy of Sciences. 106(46). 19286–19291. 52 indexed citations
4.
Siervi, Adriana De, Paola De Luca, Cristian P. Moiola, et al.. (2009). Identification of new Rel/NFκB regulatory networks by focused genome location analysis. Cell Cycle. 8(13). 2093–2100. 31 indexed citations
5.
Idelman, Gila, Silje Nord, Wenwu Cui, et al.. (2008). Transcriptional Networks Inferred from Molecular Signatures of Breast Cancer. American Journal Of Pathology. 172(2). 495–509. 10 indexed citations
6.
7.
Idelman, Gila, et al.. (2007). The role of the IGF system in T-lymphocyte activation. Cancer Research. 67. 4392–4392.
8.
Idelman, Gila, James G. Taylor, Cynthia M. Haggerty, et al.. (2007). Functional profiling of uncommonVCAM1promoter polymorphisms prevalent in African American populations. Human Mutation. 28(8). 824–829. 16 indexed citations
9.
Ge, Yubin, Gabriella Rustici, Wendy Freebern, et al.. (2006). Selective leukemic-cell killing by a novel functional class of thalidomide analogs. Blood. 108(13). 4126–4135. 25 indexed citations
10.
McNutt, Markey, Wenwu Cui, Irene Collins, et al.. (2005). Human promoter genomic composition demonstrates non-random groupings that reflect general cellular function. BMC Bioinformatics. 6(1). 259–259. 4 indexed citations
11.
Freebern, Wendy, Cynthia M. Haggerty, Markey McNutt, et al.. (2005). Pharmacologic profiling of transcriptional targets deciphers promoter logic. The Pharmacogenomics Journal. 5(5). 305–323. 9 indexed citations
12.
Freebern, Wendy, et al.. (2004). Profiling the expression of mitogen-induced T-cell proteins by using multi-membrane dot-blotting. Biochemical and Biophysical Research Communications. 323(1). 355–360. 5 indexed citations
13.
Freebern, Wendy, et al.. (2003). Novel Cell-specific and Dominant Negative Anti-apoptotic Roles of p73 in Transformed Leukemia Cells. Journal of Biological Chemistry. 278(4). 2249–2255. 14 indexed citations
14.
Smith, James L., Irene Collins, Gadisetti V.R. Chandramouli, et al.. (2003). Targeting Combinatorial Transcriptional Complex Assembly at Specific Modules within the Interleukin-2 Promoter by the Immunosuppressant SB203580. Journal of Biological Chemistry. 278(42). 41034–41046. 19 indexed citations
15.
Freebern, Wendy, et al.. (2002). Cross-Regulation of T Cell Growth Factor Expression by p53 and the Tax Oncogene. The Journal of Immunology. 169(12). 6767–6778. 19 indexed citations
16.
Haggerty, Cynthia M., et al.. (2001). Targeting of p300 to the Interleukin-2 Promoter via CREB-Rel Cross-talk during Mitogen and Oncogenic Molecular Signaling in Activated T-cells. Journal of Biological Chemistry. 276(29). 27647–27656. 22 indexed citations
17.
Eissa, N. Tony, et al.. (2001). Identification of Residues Critical for Enzymatic Activity in the Domain Encoded by Exons 8 and 9 of the Human Inducible Nitric Oxide Synthase. American Journal of Respiratory Cell and Molecular Biology. 24(5). 616–620. 17 indexed citations
18.
Bohr, Vilhelm A., et al.. (1998). Effect of aging on EGF-stimulated replication of specific genes in rat hepatocytes. Journal of Cellular Physiology. 176(1). 32–39. 5 indexed citations
19.
Eissa, N. Tony, et al.. (1996). Alternative Splicing of Human Inducible Nitric-Oxide Synthase mRNA. Journal of Biological Chemistry. 271(43). 27184–27187. 90 indexed citations
20.
Evans, Michele K., et al.. (1993). Deficient gene specific repair of cisplatin-induced lesions in Xeroderma pigmentosum and Fanconi's anemia cell lines. Carcinogenesis. 14(5). 919–924. 37 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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