Krishna Singh

8.1k total citations · 1 hit paper
109 papers, 6.7k citations indexed

About

Krishna Singh is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Rheumatology. According to data from OpenAlex, Krishna Singh has authored 109 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 31 papers in Cardiology and Cardiovascular Medicine and 25 papers in Rheumatology. Recurrent topics in Krishna Singh's work include Bone and Dental Protein Studies (24 papers), Cardiac Fibrosis and Remodeling (19 papers) and Cardiac Ischemia and Reperfusion (15 papers). Krishna Singh is often cited by papers focused on Bone and Dental Protein Studies (24 papers), Cardiac Fibrosis and Remodeling (19 papers) and Cardiac Ischemia and Reperfusion (15 papers). Krishna Singh collaborates with scholars based in United States, India and Canada. Krishna Singh's co-authors include Wilson S. Colucci, Catherine Communal, Mahipal Singh, Douglas B. Sawyer, David R. Pimentel, Zhonglin Xie, Deborah A. Siwik, Lei Xiao, Barid B. Mukherjee and Suman Dalal and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and PLoS ONE.

In The Last Decade

Krishna Singh

101 papers receiving 6.5k citations

Hit Papers

Norepinephrine Stimulates Apoptosis in Adult Rat Ventricu... 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krishna Singh United States 43 3.4k 2.6k 1.0k 999 898 109 6.7k
Yoshio Terada Japan 46 3.3k 1.0× 915 0.4× 425 0.4× 449 0.4× 1.0k 1.1× 253 6.6k
Geir Christensen Norway 44 3.2k 1.0× 3.5k 1.4× 366 0.4× 248 0.2× 632 0.7× 213 6.8k
Daniel Henrion France 58 4.0k 1.2× 3.1k 1.2× 522 0.5× 275 0.3× 2.7k 3.0× 263 9.9k
Yao Sun United States 47 2.6k 0.8× 4.0k 1.6× 697 0.7× 218 0.2× 543 0.6× 188 8.0k
Lee Chao United States 55 3.3k 1.0× 1.6k 0.6× 342 0.3× 226 0.2× 468 0.5× 208 7.9k
Flora Sam United States 39 1.8k 0.5× 2.3k 0.9× 343 0.3× 298 0.3× 781 0.9× 79 4.6k
Deborah A. Siwik United States 37 2.0k 0.6× 2.3k 0.9× 682 0.7× 162 0.2× 1.1k 1.2× 64 5.0k
Charles F. McTiernan United States 44 2.7k 0.8× 3.1k 1.2× 450 0.4× 142 0.1× 490 0.5× 109 6.3k
Motoaki Sano Japan 54 4.7k 1.4× 3.1k 1.2× 501 0.5× 243 0.2× 1.7k 1.9× 225 10.3k
Nanping Wang China 50 3.9k 1.2× 817 0.3× 430 0.4× 276 0.3× 1.1k 1.2× 167 7.7k

Countries citing papers authored by Krishna Singh

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishna Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Singh. A scholar is included among the top collaborators of Krishna Singh 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 Krishna Singh. Krishna Singh 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.
Singh, Krishna, et al.. (2025). P873: Novel fetal phenotype for FRYL-related neurodevelopmental disorder with multiple anomalies. Genetics in Medicine Open. 3. 103242–103242.
2.
Li, Tingting, J. S. Adams, Fei Tu, et al.. (2025). HSPA12B Protects Against Age‐Related Endothelial Cell Senescence by Regulating STING Degradation. Aging Cell. 24(12). e70260–e70260.
3.
Das, Suman K., et al.. (2025). Molecular Repositioning of Celecoxib as a Neurotherapeutic Agent in Fragile X-Associated Tremor/Ataxia Syndrome (FXTAS). ACS Pharmacology & Translational Science. 8(12). 4264–4284.
8.
Singh, Krishna, et al.. (2024). An Updated Canvas of the RFC1-mediated CANVAS (Cerebellar Ataxia, Neuropathy and Vestibular Areflexia Syndrome). Molecular Neurobiology. 62(1). 693–707. 3 indexed citations
9.
Gupta, Ankit, Roshan Mathew, Anjali Anand, et al.. (2023). A DNA aptamer-based assay for the detection of soluble ST2, a prognostic biomarker for monitoring heart failure. International Journal of Biological Macromolecules. 256(Pt 1). 128295–128295. 7 indexed citations
10.
Singh, Mahipal, et al.. (2023). Macrophages in the Inflammatory Phase following Myocardial Infarction: Role of Exogenous Ubiquitin. Biology. 12(9). 1258–1258. 10 indexed citations
11.
Dalal, Suman, et al.. (2022). Post-ischemic cardioprotective potential of exogenous ubiquitin in myocardial remodeling late after ischemia/reperfusion injury. Life Sciences. 312. 121216–121216. 7 indexed citations
12.
Singh, Mahipal, et al.. (2015). Extracellular Ubiquitin: Role in Myocyte Apoptosis and Myocardial Remodeling. Comprehensive physiology. 6(1). 527–560. 15 indexed citations
13.
Steagall, Rebecca J., Christopher R. Daniels, Suman Dalal, et al.. (2013). Extracellular Ubiquitin Increases Expression of Angiogenic Molecules and Stimulates Angiogenesis in Cardiac Microvascular Endothelial Cells. Microcirculation. 21(4). 324–332. 30 indexed citations
14.
Li, Chuanfu, Fang Hua, Tuanzhu Ha, et al.. (2012). Activation of Myocardial Phosphoinositide-3-Kinase p110α Ameliorates Cardiac Dysfunction and Improves Survival in Polymicrobial Sepsis. PLoS ONE. 7(9). e44712–e44712. 21 indexed citations
15.
Mountain, Deidra J.H., Mahipal Singh, & Krishna Singh. (2007). Downregulation of VEGF‐D expression by interleukin‐1β in cardiac microvascular endothelial cells is mediated by MAPKs and PKCα/β1. Journal of Cellular Physiology. 215(2). 337–343. 22 indexed citations
16.
Mountain, Deidra J.H., Mahipal Singh, Bindu Menon, & Krishna Singh. (2006). Interleukin-1β increases expression and activity of matrix metalloproteinase-2 in cardiac microvascular endothelial cells: role of PKCα/β1 and MAPKs. American Journal of Physiology-Cell Physiology. 292(2). C867–C875. 82 indexed citations
17.
Menon, Bindu, et al.. (2005). β-Adrenergic receptor-stimulated apoptosis in adult cardiac myocytes involves MMP-2-mediated disruption of β1 integrin signaling and mitochondrial pathway. American Journal of Physiology-Cell Physiology. 290(1). C254–C261. 60 indexed citations
18.
Menon, Bindu, Mahipal Singh, & Krishna Singh. (2005). Matrix metalloproteinases mediate β-adrenergic receptor-stimulated apoptosis in adult rat ventricular myocytes. American Journal of Physiology-Cell Physiology. 289(1). C168–C176. 58 indexed citations
19.
Communal, Catherine, Wilson S. Colucci, Andréa Remondino, et al.. (2002). Reciprocal modulation of mitogen-activated protein kinases and mitogen-activated protein kinase phosphatase 1 and 2 in failing human myocardium. Journal of Cardiac Failure. 8(2). 86–92. 41 indexed citations
20.
Bisognano, John D., Howard D. Weinberger, Teresa Bohlmeyer, et al.. (2000). Myocardial-Directed Overexpression of the Human β1-Adrenergic Receptor in Transgenic Mice. Journal of Molecular and Cellular Cardiology. 32(5). 817–830. 205 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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