Ashok K. Grover

3.7k total citations
103 papers, 3.0k citations indexed

About

Ashok K. Grover is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Ashok K. Grover has authored 103 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 44 papers in Cardiology and Cardiovascular Medicine and 24 papers in Physiology. Recurrent topics in Ashok K. Grover's work include Ion channel regulation and function (37 papers), Cardiac electrophysiology and arrhythmias (29 papers) and Nitric Oxide and Endothelin Effects (20 papers). Ashok K. Grover is often cited by papers focused on Ion channel regulation and function (37 papers), Cardiac electrophysiology and arrhythmias (29 papers) and Nitric Oxide and Endothelin Effects (20 papers). Ashok K. Grover collaborates with scholars based in Canada, United States and Kuwait. Ashok K. Grover's co-authors include Sue E. Samson, Jyoti Pande, Magdalena M. Szewczyk, Imran Khan, Christine Misquitta, Adel B. Elmoselhi, Victor P. Fomin, James Mwanjewe, Chiu‐Yin Kwan and Douglas P. Mack and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

Ashok K. Grover

103 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ashok K. Grover Canada	29	1.7k	643	565	346	271	103	3.0k
Oľga Križanová Slovakia	30	2.0k 1.2×	622 1.0×	419 0.7×	156 0.5×	619 2.3×	175	4.1k
Ye-Shih Ho United States	36	2.5k 1.5×	1.1k 1.6×	387 0.7×	472 1.4×	263 1.0×	55	5.1k
Peter Kaplán Slovakia	32	1.2k 0.7×	446 0.7×	338 0.6×	233 0.7×	346 1.3×	109	3.0k
K Iwata Japan	28	831 0.5×	680 1.1×	176 0.3×	248 0.7×	120 0.4×	112	2.8k
Ye‐Shih Ho United States	46	3.6k 2.2×	945 1.5×	405 0.7×	1.0k 2.9×	194 0.7×	81	6.3k
Roger J. Bick United States	30	1.4k 0.9×	668 1.0×	693 1.2×	195 0.6×	265 1.0×	84	3.4k
Yoshinori Kamisaki Japan	39	2.3k 1.4×	1.1k 1.8×	473 0.8×	197 0.6×	579 2.1×	115	4.5k
Sachiko Oh‐ishi Japan	37	3.3k 2.0×	680 1.1×	363 0.6×	271 0.8×	545 2.0×	172	6.8k
Elmer M. Price United States	33	1.8k 1.1×	840 1.3×	991 1.8×	182 0.5×	228 0.8×	66	4.0k
Michael P. Neeper United States	20	922 0.6×	426 0.7×	145 0.3×	300 0.9×	194 0.7×	26	3.3k

Countries citing papers authored by Ashok K. Grover

Since Specialization

Citations

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

Fields of papers citing papers by Ashok K. Grover

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashok K. Grover. 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 Ashok K. Grover. The network helps show where Ashok K. Grover may publish in the future.

Co-authorship network of co-authors of Ashok K. Grover

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

All Works

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20 of 20 papers shown

Grover, Ashok K.. (2016). Sodium–Calcium Exchanger in Pig Coronary Artery. Advances in pharmacology. 78. 145–170. 3 indexed citations

Grover, Ashok K. & Sue E. Samson. (2015). Benefits of antioxidant supplements for knee osteoarthritis: rationale and reality. Nutrition Journal. 15(1). 1–1. 213 indexed citations

Grover, Ashok K. & Sue E. Samson. (2013). Antioxidants and vision health: facts and fiction. Molecular and Cellular Biochemistry. 388(1-2). 173–183. 37 indexed citations

Pande, Jyoti, et al.. (2011). Store operated Ca2+ entry dependent contraction of coronary artery smooth muscle: Inhibition by peroxide pretreatment. Cell Calcium. 51(2). 149–154. 14 indexed citations

Samson, Sue E., et al.. (2010). Sodium–calcium exchanger and lipid rafts in pig coronary artery smooth muscle. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1808(3). 589–596. 6 indexed citations

Samson, Sue E., et al.. (2009). Sodium–calcium exchange mediated contraction in left anterior descending and left ventricular branch arteries. Journal of Cellular and Molecular Medicine. 13(9b). 3742–3752. 1 indexed citations

Szewczyk, Magdalena M., et al.. (2007). Ca²⁺‐pumps and Na⁺–Ca²⁺‐exchangers in coronary artery endothelium versus smooth muscle. Journal of Cellular and Molecular Medicine. 11(1). 129–138. 36 indexed citations

Chen, Tao, et al.. (2006). Characterization of SERCA2b Ca2+–Mg2+ ATPase mRNA decay by nuclear proteins. Cell Calcium. 41(6). 581–592. 1 indexed citations

Walia, Mandeep, et al.. (2003). Peroxynitrite and nitric oxide differ in their effects on pig coronary artery smooth muscle. American Journal of Physiology-Cell Physiology. 284(3). C649–C657. 17 indexed citations

10.

Grover, Ashok K., Chiu‐Yin Kwan, & Sue E. Samson. (2003). Effects of peroxynitrite on sarco/endoplasmic reticulum Ca²⁺ pump isoforms SERCA2b and SERCA3a. American Journal of Physiology-Cell Physiology. 285(6). C1537–C1543. 61 indexed citations

11.

Mwanjewe, James, et al.. (2001). Transient receptor potential protein mRNA expression in rat substantia nigra. Neuroscience Letters. 300(2). 83–86. 10 indexed citations

12.

Mwanjewe, James, et al.. (2000). On the Ca2+ Dependence of Non-transferrin-bound Iron Uptake in PC12 Cells. Journal of Biological Chemistry. 275(43). 33512–33515. 10 indexed citations

13.

Elmoselhi, Adel B., Sue E. Samson, & Ashok K. Grover. (1996). SR Ca2+ pump heterogeneity in coronary artery: free radicals and IP3-sensitive and -insensitive pools. American Journal of Physiology-Cell Physiology. 271(5). C1652–C1659. 28 indexed citations

14.

Khan, Islam Ullah, et al.. (1992). Polymerase chain reaction assay of mRNA using 28S rRNA as internal standard. Neuroscience Letters. 147(1). 114–117. 21 indexed citations

15.

Khan, Imran, et al.. (1990). Abundance of sarcoplasmic reticulum calcium pump isoforms in stomach and cardiac muscles. Biochemical Journal. 268(2). 415–419. 27 indexed citations

16.

Kwan, Chiu‐Yin, et al.. (1986). Calmodulin Stimulation of Plasmalemmal Ca<sup>2+</sup>-Pump of Canine Aortic Smooth Muscle. Journal of Vascular Research. 23(1). 22–33. 9 indexed citations

17.

Grover, Ashok K., et al.. (1985). Solubilization of a high affinity Ca-ATPase from dog antrum smooth muscle. Cell Calcium. 6(4). 363–370. 1 indexed citations

18.

Grover, Ashok K., et al.. (1985). Target size of Ca-pumps in pig coronary artery smooth muscle. Life Sciences. 37(23). 2193–2198. 10 indexed citations

19.

Ramachandran, M., et al.. (1984). DDT & HCH residues in the body fat & blood samples from some Delhi hospitals.. PubMed. 80. 590–3. 31 indexed citations

20.

Grover, Ashok K., et al.. (1983). Nature of norepinephrine-sensitive Ca-pool in rabbit aortic smooth muscle: Effect of pH. Life Sciences. 32(14). 1553–1558. 14 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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