Kevin A. Krown

1.2k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Kevin A. Krown is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kevin A. Krown has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kevin A. Krown's work include Ion channel regulation and function (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Kevin A. Krown is often cited by papers focused on Ion channel regulation and function (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Kevin A. Krown collaborates with scholars based in United States and Italy. Kevin A. Krown's co-authors include Roger A. Sabbadini, C C Glembotski, Mélissa Pagé, Penelope J E Quintana, Cuong V. Nguyen, Dietmar Zechner, Vanessa Pacciari Gutierrez, Christopher C. Glembotski, Ameae M. Walker and Kenji Yasui and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Biochemical Journal.

In The Last Decade

Kevin A. Krown

8 papers receiving 1.1k citations

Hit Papers

Tumor necrosis factor alp... 1996 2026 2006 2016 1996 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin A. Krown United States 8 573 447 196 153 107 8 1.1k
Carole S. Frye United States 10 572 1.0× 785 1.8× 117 0.6× 188 1.2× 104 1.0× 11 1.3k
Wenfeng Miao United States 10 703 1.2× 539 1.2× 209 1.1× 127 0.8× 146 1.4× 12 1.2k
Hiroyuki Yaoita Japan 17 621 1.1× 574 1.3× 354 1.8× 101 0.7× 106 1.0× 52 1.4k
Rakesh Abbi United States 7 829 1.4× 723 1.6× 299 1.5× 85 0.6× 123 1.1× 9 1.5k
Jingzang Tao United States 5 545 1.0× 341 0.8× 209 1.1× 49 0.3× 84 0.8× 7 970
Mélissa Pagé United States 5 399 0.7× 345 0.8× 164 0.8× 126 0.8× 86 0.8× 6 785
Nobuki Takahashi Japan 20 684 1.2× 752 1.7× 101 0.5× 90 0.6× 44 0.4× 30 1.3k
Shinji Satoh Japan 19 648 1.1× 518 1.2× 145 0.7× 101 0.7× 54 0.5× 47 1.3k
Heiko Kilter Germany 15 830 1.4× 715 1.6× 185 0.9× 109 0.7× 56 0.5× 25 1.5k
Rosanna C. Mirabile United States 13 580 1.0× 298 0.7× 84 0.4× 159 1.0× 111 1.0× 20 1.1k

Countries citing papers authored by Kevin A. Krown

Since Specialization
Citations

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

Fields of papers citing papers by Kevin A. Krown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin A. Krown. 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 Kevin A. Krown. The network helps show where Kevin A. Krown may publish in the future.

Co-authorship network of co-authors of Kevin A. Krown

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin A. Krown. A scholar is included among the top collaborators of Kevin A. Krown 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 Kevin A. Krown. Kevin A. Krown 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.
Krown, Kevin A., Mélissa Pagé, Donald Martin, et al.. (1998). LPS-Induced TNF-αRelease from and Apoptosis in Rat Cardiomyocytes: Obligatory Role for CD14 in Mediating the LPS Response. Journal of Molecular and Cellular Cardiology. 30(12). 2761–2775. 133 indexed citations
2.
Betto, Romeo, Federica Turcato, G. Salviati, et al.. (1997). Sphingosylphosphocholine modulates the ryanodine receptor/calcium-release channel of cardiac sarcoplasmic reticulum membranes. Biochemical Journal. 322(1). 327–333. 45 indexed citations
3.
Krown, Kevin A., Mélissa Pagé, Cuong V. Nguyen, et al.. (1996). Tumor necrosis factor alpha-induced apoptosis in cardiac myocytes. Involvement of the sphingolipid signaling cascade in cardiac cell death.. Journal of Clinical Investigation. 98(12). 2854–2865. 623 indexed citations breakdown →
4.
Krown, Kevin A., Kenji Yasui, Adrienne E. Dubin, et al.. (1995). TNFα receptor expression in rat cardiac myocytes: TNFα inhibition of L‐type Ca2+ current and Ca2+ transients. FEBS Letters. 376(1-2). 24–30. 104 indexed citations
5.
Krown, Kevin A.. (1994). Autocrine interaction between prolactin and its receptor occurs intracellularly in the 235-1 mammotroph cell line. Endocrinology. 134(3). 1546–1552. 10 indexed citations
6.
Krown, Kevin A., et al.. (1994). Autocrine interaction between prolactin and its receptor occurs intracellularly in the 235-1 mammotroph cell line.. Endocrinology. 134(3). 1546–1552. 22 indexed citations
7.
Glembotski, C C, et al.. (1993). Myocardial alpha-thrombin receptor activation induces hypertrophy and increases atrial natriuretic factor gene expression.. Journal of Biological Chemistry. 268(27). 20646–20652. 73 indexed citations
8.
Krown, Kevin A., et al.. (1992). Prolactin isoform 2 as an autocrine growth factor for GH3 cells.. Endocrinology. 131(2). 595–602. 65 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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