Linda Sealy

7.9k total citations · 1 hit paper
56 papers, 3.3k citations indexed

About

Linda Sealy is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Linda Sealy has authored 56 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 13 papers in Immunology and 11 papers in Oncology. Recurrent topics in Linda Sealy's work include Genomics and Chromatin Dynamics (11 papers), Virus-based gene therapy research (8 papers) and RNA Research and Splicing (8 papers). Linda Sealy is often cited by papers focused on Genomics and Chromatin Dynamics (11 papers), Virus-based gene therapy research (8 papers) and RNA Research and Splicing (8 papers). Linda Sealy collaborates with scholars based in United States, Russia and France. Linda Sealy's co-authors include Roger Chalkley, Linda M. Bundy, Rosalie C. Sears, Matthew Cotten, Mary H. Hanlon, J. Michael Bishop, Martin L. Privalsky, C. Moscovici, Reneé C. Ireton and K E Barnes and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Linda Sealy

56 papers receiving 3.2k citations

Hit Papers

The effect of sodium buty... 1978 2026 1994 2010 1978 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The effect of sodium butyrate on histone modification
    1978 603 citations Linda Sealy Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linda Sealy United States 31 2.5k 584 470 354 336 56 3.3k
Jonathan Greene United States 22 2.0k 0.8× 456 0.8× 494 1.1× 295 0.8× 249 0.7× 48 3.1k
Jong‐Bok Yoon South Korea 35 2.6k 1.0× 466 0.8× 358 0.8× 339 1.0× 403 1.2× 89 3.5k
Judith K. Christman United States 28 2.7k 1.1× 415 0.7× 494 1.1× 351 1.0× 424 1.3× 64 3.7k
Kaoru Tominaga Japan 24 2.6k 1.0× 470 0.8× 251 0.5× 653 1.8× 338 1.0× 74 3.5k
M Riggs United States 24 2.9k 1.1× 438 0.8× 340 0.7× 228 0.6× 507 1.5× 33 3.8k
Ofer Cohen Israel 22 2.4k 0.9× 471 0.8× 304 0.6× 482 1.4× 298 0.9× 73 3.4k
Richard L. Davidson United States 37 2.7k 1.1× 398 0.7× 868 1.8× 290 0.8× 431 1.3× 111 3.8k
Thierry Buchou France 21 2.9k 1.2× 371 0.6× 725 1.5× 183 0.5× 251 0.7× 41 3.6k
Concetta Ambrosino Italy 33 2.1k 0.8× 634 1.1× 467 1.0× 519 1.5× 550 1.6× 78 3.5k
Jianping Zhang China 28 3.0k 1.2× 398 0.7× 459 1.0× 365 1.0× 437 1.3× 63 3.7k

Countries citing papers authored by Linda Sealy

Since Specialization
Citations

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

Fields of papers citing papers by Linda Sealy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda Sealy. 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 Linda Sealy. The network helps show where Linda Sealy may publish in the future.

Co-authorship network of co-authors of Linda Sealy

This figure shows the co-authorship network connecting the top 25 collaborators of Linda Sealy. A scholar is included among the top collaborators of Linda Sealy 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 Linda Sealy. Linda Sealy 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.
King, Michael R., G. Kane Jennings, Roger Chalkley, & Linda Sealy. (2020). Questioning the Value of the Graduate Record Examinations (GRE) in PhD Admissions in Biomedical Engineering. Annals of Biomedical Engineering. 48(8). 2155–2157. 5 indexed citations
2.
Abreu, María T. & Linda Sealy. (2012). Cells Expressing the C/EBPbeta Isoform, LIP, Engulf Their Neighbors. PLoS ONE. 7(7). e41807–e41807. 10 indexed citations
3.
Sealy, Linda, et al.. (2011). Negative Regulation of C/EBPbeta1 by Sumoylation in Breast Cancer Cells. PLoS ONE. 6(9). e25205–e25205. 10 indexed citations
4.
Boone, Braden, et al.. (2010). Genomic profiling of C/EBPβ2 transformed mammary epithelial cells: A role for nuclear interleukin-1β. Cancer Biology & Therapy. 10(5). 509–519. 7 indexed citations
5.
Sealy, Linda, et al.. (2010). The C/EBPbeta isoform, liver-inhibitory protein (LIP), induces autophagy in breast cancer cell lines. Experimental Cell Research. 316(19). 3227–3238. 21 indexed citations
6.
Tripathi, Manish Kumar, Smita Misra, Nalo Hamilton, et al.. (2005). Regulation of BRCA2 Gene Expression by the SLUG Repressor Protein in Human Breast Cells. Journal of Biological Chemistry. 280(17). 17163–17171. 68 indexed citations
7.
Qiao, Liang, Song Iy Han, Youwen Fang, et al.. (2003). Bile Acid Regulation of C/EBPβ, CREB, and c-Jun Function, via the Extracellular Signal-Regulated Kinase and c-Jun NH2-Terminal Kinase Pathways, Modulates the Apoptotic Response of Hepatocytes. Molecular and Cellular Biology. 23(9). 3052–3066. 127 indexed citations
8.
Hanlon, Mary H., et al.. (2001). Characterization of C/EBPβ isoforms in normal versus neoplastic mammary epithelial cells. Journal of Cellular Physiology. 189(1). 91–105. 61 indexed citations
9.
Mobley, Constance M. & Linda Sealy. (2000). The Rous Sarcoma Virus Long Terminal Repeat Promoter Is Regulated by TFII-I. Journal of Virology. 74(14). 6511–6519. 8 indexed citations
10.
Hanlon, Mary H. & Linda Sealy. (1999). Ras Regulates the Association of Serum Response Factor and CCAAT/Enhancer-binding Protein β. Journal of Biological Chemistry. 274(20). 14224–14228. 35 indexed citations
11.
12.
Ozer, Josef, Roger Chalkley, & Linda Sealy. (1993). Characterization of rat pseudogenes for enhancer factor I subunit A: ripping provides clues to the evolution of the EFIAdbpB/YB-1 multigene family. Gene. 133(2). 187–195. 7 indexed citations
13.
14.
Sealy, Linda, et al.. (1992). Maximal serum stimulation of the c-fos serum response element requires both the serum response factor and a novel binding factor, SRE-binding protein.. Molecular and Cellular Biology. 12(10). 4769–4783. 33 indexed citations
15.
16.
Sealy, Linda, et al.. (1990). Rous sarcoma virus enhancer factor I is a ubiquitous CCAAT transcription factor highly related to CBF and NF-Y.. Journal of Biological Chemistry. 265(36). 22243–22254. 44 indexed citations
17.
18.
Sealy, Linda, James L. Hartley, John E. Donelson, et al.. (1981). Characterization of a highly repetitive sequence DNA family in rat. Journal of Molecular Biology. 145(2). 291–318. 49 indexed citations
19.
Sealy, Linda. (1978). The effect of sodium butyrate on histone modification. Cell. 14(1). 115–121. 603 indexed citations breakdown →
20.
Nelson, Daniel A., Michael Perry, Linda Sealy, & Roger Chalkley. (1978). DNase I preferentially digests chromatin containing hyperacetylated histones. Biochemical and Biophysical Research Communications. 82(4). 1346–1353. 59 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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