S.V. Ramanan

1000 total citations
24 papers, 744 citations indexed

About

S.V. Ramanan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biophysics. According to data from OpenAlex, S.V. Ramanan has authored 24 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Biophysics. Recurrent topics in S.V. Ramanan's work include Ion channel regulation and function (12 papers), Connexins and lens biology (11 papers) and Nicotinic Acetylcholine Receptors Study (8 papers). S.V. Ramanan is often cited by papers focused on Ion channel regulation and function (12 papers), Connexins and lens biology (11 papers) and Nicotinic Acetylcholine Receptors Study (8 papers). S.V. Ramanan collaborates with scholars based in United States, Singapore and Switzerland. S.V. Ramanan's co-authors include Peter R. Brink, Eric C. Beyer, George J. Christ, Kathrin Banach, Elizabeth K. Peterson, Richard D. Veenstra, E M Westphale, K.H. Seul, Richard T. Mathias and K. Manivannan and has published in prestigious journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and Biophysical Journal.

In The Last Decade

S.V. Ramanan

24 papers receiving 737 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S.V. Ramanan United States	15	621	88	81	58	55	24	744
Seung Keun Rhee South Korea	7	732 1.2×	128 1.5×	234 2.9×	89 1.5×	25 0.5×	9	903
Reiner Eckert Germany	15	1.4k 2.2×	133 1.5×	122 1.5×	173 3.0×	82 1.5×	21	1.5k
Mats Holmqvist United States	10	581 0.9×	354 4.0×	40 0.5×	28 0.5×	231 4.2×	15	712
Niclas Gimber Germany	12	461 0.7×	144 1.6×	124 1.5×	40 0.7×	19 0.3×	23	740
G. J. Baldo United States	16	1.0k 1.7×	152 1.7×	158 2.0×	115 2.0×	184 3.3×	24	1.1k
Sean E. Low United States	12	350 0.6×	158 1.8×	38 0.5×	37 0.6×	89 1.6×	14	531
Marisa M. Brockmann Germany	14	397 0.6×	246 2.8×	54 0.7×	42 0.7×	27 0.5×	15	605
Linda Volkers Netherlands	9	211 0.3×	144 1.6×	112 1.4×	31 0.5×	69 1.3×	12	376
Karen Jordan Canada	7	722 1.2×	50 0.6×	54 0.7×	184 3.2×	41 0.7×	8	747
Alesia M. Hruska-Hageman United States	7	814 1.3×	282 3.2×	96 1.2×	79 1.4×	63 1.1×	8	961

Countries citing papers authored by S.V. Ramanan

Since Specialization

Citations

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

Fields of papers citing papers by S.V. Ramanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.V. Ramanan

This figure shows the co-authorship network connecting the top 25 collaborators of S.V. Ramanan. A scholar is included among the top collaborators of S.V. Ramanan 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.V. Ramanan. S.V. Ramanan 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

Tai, Yee Kit, et al.. (2024). Secretome from Magnetically Stimulated Muscle Exhibits Anticancer Potency: Novel Preconditioning Methodology Highlighting HTRA1 Action. Cells. 13(5). 460–460. 11 indexed citations

Tai, Yee Kit, S.V. Ramanan, Yun Sheng Yip, et al.. (2022). Modulated TRPC1 Expression Predicts Sensitivity of Breast Cancer to Doxorubicin and Magnetic Field Therapy: Segue Towards a Precision Medicine Approach. Frontiers in Oncology. 11. 783803–783803. 17 indexed citations

Tai, Yee Kit, S.V. Ramanan, Christian Beyer, et al.. (2020). Ambient and supplemental magnetic fields promote myogenesis via a TRPC1-mitochondrial axis: evidence of a magnetic mitohormetic mechanism. 4 indexed citations

Tai, Yee Kit, Jürg Fröhlich, S.V. Ramanan, et al.. (2019). Ambient and supplemental magnetic fields promote myogenesis via a TRPC1‐mitochondrial axis: evidence of a magnetic mitohormetic mechanism. The FASEB Journal. 33(11). 12853–12872. 51 indexed citations

Machingal, Masood A. & S.V. Ramanan. (2006). A Steady-State Electrochemical Model of Vascular Smooth Muscle Cells. Biophysical Journal. 91(5). 1648–1662. 1 indexed citations

Ramanan, S.V., Virginijus Valiūnas, & Peter R. Brink. (2005). Non-Stationary Fluctuation Analysis of Macroscopic Gap Junction Channel Records. The Journal of Membrane Biology. 205(2). 81–88. 3 indexed citations

Murty, K. V. G. K., et al.. (2005). Permeability of R6G across Cx43 hemichannels through a novel combination of patch clamp and surface enhanced Raman spectroscopy. Pramana. 65(4). 653–661. 5 indexed citations

Kumari, S. Sindhu, Kulandaiappan Varadaraj, Virginijus Valiūnas, et al.. (2000). Functional Expression and Biophysical Properties of Polymorphic Variants of the Human Gap Junction Protein Connexin37. Biochemical and Biophysical Research Communications. 274(1). 216–224. 31 indexed citations

Banach, Kathrin, S.V. Ramanan, & Peter R. Brink. (2000). The Influence of Surface Charges on the Conductance of the Human Connexin37 Gap Junction Channel. Biophysical Journal. 78(2). 752–760. 23 indexed citations

10.

Ramanan, S.V., Peter R. Brink, Kulandaiappan Varadaraj, et al.. (1999). A Three-State Model for Connexin37 Gating Kinetics. Biophysical Journal. 76(5). 2520–2529. 24 indexed citations

11.

Ramanan, S.V., Peter R. Brink, & George J. Christ. (1998). Neuronal Innervation, Intracellular Signal Transduction and Intercellular Coupling: a Model for Syncytial Tissue Responses in the Steady State. Journal of Theoretical Biology. 193(1). 69–84. 14 indexed citations

12.

Schirrmacher, K., et al.. (1997). Voltage sensitivity of gap junction currents in rat osteoblast-like cells. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1327(1). 89–96. 2 indexed citations

13.

Brink, Peter R., et al.. (1996). Gap junctions in excitable cells. Journal of Bioenergetics and Biomembranes. 28(4). 351–358. 24 indexed citations

14.

Veenstra, Richard D., et al.. (1994). Connexin37 forms high conductance gap junction channels with subconductance state activity and selective dye and ionic permeabilities. Biophysical Journal. 66(6). 1915–1928. 109 indexed citations

15.

Ramanan, S.V., et al.. (1994). Ion flow in the bath and flux interactions between channels. Biophysical Journal. 66(4). 989–995. 4 indexed citations

16.

Ramanan, S.V. & Peter R. Brink. (1993). Multichannel recordings from membranes which contain gap junctions. II. Substates and conductance shifts. Biophysical Journal. 65(4). 1387–1395. 33 indexed citations

17.

Manivannan, K., S.V. Ramanan, Richard T. Mathias, & Peter R. Brink. (1992). Multichannel recordings from membranes which contain gap junctions. Biophysical Journal. 61(1). 216–227. 57 indexed citations

18.

Ramanan, S.V., Shufeng Fan, & Peter R. Brink. (1992). Model invariant method for extracting single-channel mean open and closed times from heterogeneous multichannel records. Journal of Neuroscience Methods. 42(1-2). 91–103. 19 indexed citations

19.

Ramanan, S.V. & Peter R. Brink. (1990). Alternate methods of representing single-channel data. Biophysical Journal. 57(4). 893–901. 11 indexed citations

20.

Ramanan, S.V. & Peter R. Brink. (1990). Exact solution of a model of diffusion in an infinite chain or monolayer of cells coupled by gap junctions. Biophysical Journal. 58(3). 631–639. 21 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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