Debora D. Bryant

1.1k total citations
8 papers, 875 citations indexed

About

Debora D. Bryant is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Cancer Research. According to data from OpenAlex, Debora D. Bryant has authored 8 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 3 papers in Immunology and 3 papers in Cancer Research. Recurrent topics in Debora D. Bryant's work include Cardiac Fibrosis and Remodeling (4 papers), Immune Response and Inflammation (3 papers) and NF-κB Signaling Pathways (3 papers). Debora D. Bryant is often cited by papers focused on Cardiac Fibrosis and Remodeling (4 papers), Immune Response and Inflammation (3 papers) and NF-κB Signaling Pathways (3 papers). Debora D. Bryant collaborates with scholars based in United States. Debora D. Bryant's co-authors include Brett P. Giroir, Ronald M. Peshock, Fátima Franco, Marita Thompson, Lisa Becker, James A. Richardson, John M. Shelton, Sandra B. Haudek, Jureta W. Horton and D. Jean White and has published in prestigious journals such as Circulation, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Molecular and Cellular Cardiology.

In The Last Decade

Debora D. Bryant

8 papers receiving 863 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debora D. Bryant United States 8 482 348 202 132 125 8 875
Toshiyuki Itoi Japan 17 267 0.6× 500 1.4× 88 0.4× 126 1.0× 71 0.6× 55 1.1k
Koichi Sohmiya Japan 20 506 1.0× 487 1.4× 102 0.5× 136 1.0× 124 1.0× 66 1.3k
Tatsuro Kitahara Japan 19 451 0.9× 311 0.9× 270 1.3× 78 0.6× 37 0.3× 27 967
Lena Bosch Netherlands 10 419 0.9× 394 1.1× 191 0.9× 131 1.0× 43 0.3× 16 900
Katia Galan Switzerland 17 165 0.3× 300 0.9× 264 1.3× 136 1.0× 74 0.6× 19 799
Yo Koyama Japan 17 499 1.0× 251 0.7× 218 1.1× 83 0.6× 37 0.3× 22 997
Giuseppina Nicolini Italy 18 166 0.3× 423 1.2× 85 0.4× 72 0.5× 110 0.9× 47 957
Masahiro Koide Japan 15 223 0.5× 245 0.7× 102 0.5× 63 0.5× 60 0.5× 46 806
Massimo Ragni Italy 17 311 0.6× 116 0.3× 90 0.4× 69 0.5× 79 0.6× 26 786
Huguette Louis France 19 251 0.5× 327 0.9× 116 0.6× 96 0.7× 86 0.7× 43 917

Countries citing papers authored by Debora D. Bryant

Since Specialization
Citations

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

Fields of papers citing papers by Debora D. Bryant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debora D. Bryant. 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 Debora D. Bryant. The network helps show where Debora D. Bryant may publish in the future.

Co-authorship network of co-authors of Debora D. Bryant

This figure shows the co-authorship network connecting the top 25 collaborators of Debora D. Bryant. A scholar is included among the top collaborators of Debora D. Bryant 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 Debora D. Bryant. Debora D. Bryant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Thomas, James A., Sandra B. Haudek, Tolga Köroğlu, et al.. (2003). IRAK1 deletion disrupts cardiac Toll/IL-1 signaling and protects against contractile dysfunction. American Journal of Physiology-Heart and Circulatory Physiology. 285(2). H597–H606. 68 indexed citations
2.
Carlson, Deborah, Ellis Lightfoot, Debora D. Bryant, et al.. (2002). Burn plasma mediates cardiac myocyte apoptosis via endotoxin. American Journal of Physiology-Heart and Circulatory Physiology. 282(5). H1907–H1914. 40 indexed citations
3.
Haudek, Sandra B., Debora D. Bryant, & Brett P. Giroir. (2001). Differential Regulation of Myocardial NF κ B Following Acute or Chronic TNF- α Exposure. Journal of Molecular and Cellular Cardiology. 33(6). 1263–1271. 36 indexed citations
4.
Graciano, Ana Lía, Debora D. Bryant, D. Jean White, et al.. (2001). Targeted disruption of ICAM-1, P-selectin genes improves cardiac function and survival in TNF-α transgenic mice. American Journal of Physiology-Heart and Circulatory Physiology. 280(4). H1464–H1471. 14 indexed citations
5.
Haudek, Sandra B., Debora D. Bryant, D. Jean White, et al.. (2001). Overexpression of cardiac I-κBα prevents endotoxin-induced myocardial dysfunction. American Journal of Physiology-Heart and Circulatory Physiology. 280(3). H962–H968. 75 indexed citations
6.
Thompson, Marita, David L. Maass, Lisa Becker, et al.. (2000). Increased Cardiomyocyte Intracellular Calcium during Endotoxin-Induced Cardiac Dysfunction in Guinea Pigs. Pediatric Research. 47(5). 669–676. 48 indexed citations
7.
Franco, Fátima, Gail D. Thomas, Brett P. Giroir, et al.. (1999). Magnetic Resonance Imaging and Invasive Evaluation of Development of Heart Failure in Transgenic Mice With Myocardial Expression of Tumor Necrosis Factor-α. Circulation. 99(3). 448–454. 106 indexed citations
8.
Bryant, Debora D., Lisa Becker, James A. Richardson, et al.. (1998). Cardiac Failure in Transgenic Mice With Myocardial Expression of Tumor Necrosis Factor-α. Circulation. 97(14). 1375–1381. 488 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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