S Sen

1.9k total citations
32 papers, 1.5k citations indexed

About

S Sen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, S Sen has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Cardiology and Cardiovascular Medicine and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in S Sen's work include Hormonal Regulation and Hypertension (10 papers), Adipose Tissue and Metabolism (5 papers) and Receptor Mechanisms and Signaling (5 papers). S Sen is often cited by papers focused on Hormonal Regulation and Hypertension (10 papers), Adipose Tissue and Metabolism (5 papers) and Receptor Mechanisms and Signaling (5 papers). S Sen collaborates with scholars based in United States, Colombia and Australia. S Sen's co-authors include Robert C. Tarazi, F. Merlin Bumpus, Debabrata Mukherjee, M A Saragoça, Chester H. Conrad, Wesley W. Brooks, K S Misono, Klaus Lindpaintner, Simin Liu and Hiroyuki Katayama and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and Hypertension.

In The Last Decade

S Sen

30 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S Sen United States 21 962 518 346 170 162 32 1.5k
Kathleen G. Robinson United States 14 880 0.9× 559 1.1× 159 0.5× 189 1.1× 102 0.6× 20 1.4k
Yutaka Kitami Japan 22 601 0.6× 780 1.5× 346 1.0× 177 1.0× 145 0.9× 56 1.5k
Jun Agata Japan 19 377 0.4× 455 0.9× 197 0.6× 230 1.4× 65 0.4× 26 1.3k
Yumei Zhan Japan 18 360 0.4× 669 1.3× 158 0.5× 158 0.9× 223 1.4× 21 1.4k
Heiko Kilter Germany 15 715 0.7× 830 1.6× 85 0.2× 236 1.4× 79 0.5× 25 1.5k
Randy T. Cowling United States 16 591 0.6× 457 0.9× 199 0.6× 96 0.6× 96 0.6× 23 1.1k
Rosita Stanzione Italy 23 607 0.6× 574 1.1× 153 0.4× 247 1.5× 109 0.7× 65 1.5k
Robert S. Danziger United States 20 643 0.7× 548 1.1× 150 0.4× 347 2.0× 52 0.3× 41 1.3k
Henry L. Keen United States 25 448 0.5× 794 1.5× 433 1.3× 479 2.8× 105 0.6× 62 1.7k
C L Seidel United States 20 339 0.4× 423 0.8× 169 0.5× 258 1.5× 44 0.3× 41 1.0k

Countries citing papers authored by S Sen

Since Specialization
Citations

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

Fields of papers citing papers by S Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Sen

This figure shows the co-authorship network connecting the top 25 collaborators of S Sen. A scholar is included among the top collaborators of S Sen 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 S Sen. S Sen 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.
Qi, Jin, Jie Wang, Hiroyuki Katayama, S Sen, & Simin Liu. (2012). Circulating microRNAs (cmiRNAs) as novel potential biomarkers for hepatocellular carcinoma. Neoplasma. 60(2). 135–142. 103 indexed citations
2.
Rajappa, Medha & S Sen. (2005). Evaluation of thyroid hormone status after acute myocardial infarction in South Indians. Biomedical Research-tokyo. 16(1). 0. 1 indexed citations
3.
Mitra, Siddhartha S., et al.. (2001). Assignment<footref rid="foot01"><sup>1</sup></footref> of myotrophin to human chromosome band 7q33→q35 by in situ hybridization. Cytogenetic and Genome Research. 93(1-2). 151–152. 3 indexed citations
4.
Bing, O., Nancy Hague, Cynthia L. Perreault, et al.. (1994). Thyroid hormone effects on intracellular calcium and inotropic responses of rat ventricular myocardium. American Journal of Physiology-Heart and Circulatory Physiology. 267(3). H1112–H1121. 5 indexed citations
5.
Mukherjee, Debabrata, Charles F. McTiernan, & S Sen. (1993). Myotrophin induces early response genes and enhances cardiac gene expression.. Hypertension. 21(2). 142–148. 32 indexed citations
6.
Bing, O., Wesley W. Brooks, Chester H. Conrad, et al.. (1991). Intracellular calcium transients in myocardium from spontaneously hypertensive rats during the transition to heart failure.. Circulation Research. 68(5). 1390–1400. 96 indexed citations
7.
Mukherjee, Debabrata & S Sen. (1990). Collagen phenotypes during development and regression of myocardial hypertrophy in spontaneously hypertensive rats.. Circulation Research. 67(6). 1474–1480. 147 indexed citations
8.
Sen, S, Gopal C. Kundu, Nagy Mekhail, et al.. (1990). Myotrophin: purification of a novel peptide from spontaneously hypertensive rat heart that influences myocardial growth.. Journal of Biological Chemistry. 265(27). 16635–16643. 73 indexed citations
9.
Bing, O., S Sen, Chester H. Conrad, & Wesley W. Brooks. (1984). Myocardial function structure and collagen in the spontaneously hypertensive rat: progression from compensated hypertrophy to haemodynamic impairment. European Heart Journal. 5(suppl F). 43–52. 13 indexed citations
10.
Sen, S, F. Merlin Bumpus, Sharon E. Oberfield, & Maria I. New. (1983). Development and preliminary application of a new assay for aldosterone stimulating factor.. Hypertension. 5(2_pt_2). I27–31. 13 indexed citations
11.
Sen, S & Robert C. Tarazi. (1983). Regression of myocardial hypertrophy and influence of adrenergic system. American Journal of Physiology-Heart and Circulatory Physiology. 244(1). H97–H101. 90 indexed citations
12.
Saito, Ikuo, et al.. (1981). Steroidogenic characteristics of a new aldosterone-stimulating factor (ASF) isolated from normal human urine.. Hypertension. 3(3). 300–305. 14 indexed citations
13.
Sen, S, Robert C. Tarazi, & F. Merlin Bumpus. (1981). Reversal of cardiac hypertrophy in renal hypertensive rats: medical vs. surgical therapy. American Journal of Physiology-Heart and Circulatory Physiology. 240(3). H408–H412. 51 indexed citations
14.
Sen, S, John R. Shainoff, Elena Bravo, & F. Merlin Bumpus. (1981). Isolation of aldosterone-stimulating factor (ASF) and its effect on rat adrenal glomerulosa cells in vitro.. Hypertension. 3(1). 4–10. 40 indexed citations
15.
Sen, S, Robert C. Tarazi, & F. Merlin Bumpus. (1980). Effect of converting enzyme inhibitor (SQ14,225) on myocardial hypertrophy in spontaneously hypertensive rats.. Hypertension. 2(2). 169–176. 142 indexed citations
16.
Sen, S, Robert C. Tarazi, & F. Merlin Bumpus. (1979). Cardiac Effects of Angiotensin Antagonists in Normotensive Rats. Clinical Science. 56(5). 439–443. 18 indexed citations
17.
Sen, S, Robert C. Tarazi, & F. Merlin Bumpus. (1977). Cardiac hypertrophy and antihypertensive therapy. Cardiovascular Research. 11(5). 427–433. 213 indexed citations
18.
Averill, David B., et al.. (1976). Cardiac performance in rats with renal hypertension.. Circulation Research. 38(4). 280–288. 60 indexed citations
19.
Sen, S, et al.. (1972). Effect of mercuric chloride on plasma renin substrate level in rats. American Journal of Physiology-Legacy Content. 222(1). 38–44. 4 indexed citations
20.
Sen, S, et al.. (1967). Myxoma of the heart in the presence of cerebral thrombosis, hypertension and fever.. PubMed Central. 59(3). 203–5. 1 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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