A. Sarkar

620 total citations
10 papers, 471 citations indexed

About

A. Sarkar is a scholar working on Cardiology and Cardiovascular Medicine, Computational Mechanics and Surgery. According to data from OpenAlex, A. Sarkar has authored 10 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 4 papers in Computational Mechanics and 3 papers in Surgery. Recurrent topics in A. Sarkar's work include Fluid Dynamics and Turbulent Flows (4 papers), Coronary Interventions and Diagnostics (3 papers) and Lattice Boltzmann Simulation Studies (2 papers). A. Sarkar is often cited by papers focused on Fluid Dynamics and Turbulent Flows (4 papers), Coronary Interventions and Diagnostics (3 papers) and Lattice Boltzmann Simulation Studies (2 papers). A. Sarkar collaborates with scholars based in United States, India and Switzerland. A. Sarkar's co-authors include G. Jayaraman, Panayiotis Tsokas, Stephen M. Taubenfeld, James C. Schaff, Ravi Iyengar, Cristina M. Alberini, Padmini Rangamani, Robert D. Blitzer, Ion I. Moraru and Susana R. Neves and has published in prestigious journals such as Cell, Journal of Biomechanics and Journal of Theoretical Biology.

In The Last Decade

A. Sarkar

10 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Sarkar United States	8	178	145	124	64	64	10	471
Knowles A. Overholser United States	12	161 0.9×	31 0.2×	39 0.3×	15 0.2×	67 1.0×	27	452
J.L. Stephenson United States	18	334 1.9×	101 0.7×	48 0.4×	72 1.1×	50 0.8×	34	720
Taras P. Usyk United States	7	77 0.4×	28 0.2×	217 1.8×	31 0.5×	17 0.3×	11	534
Julie Morrow United States	14	457 2.6×	234 1.6×	24 0.2×	68 1.1×	58 0.9×	22	990
Darren Hooks New Zealand	18	181 1.0×	16 0.1×	169 1.4×	152 2.4×	16 0.3×	49	1.1k
Junzheng Peng Canada	15	241 1.4×	22 0.2×	54 0.4×	126 2.0×	105 1.6×	27	640
Yoshiaki Kawamura Japan	12	110 0.6×	26 0.2×	33 0.3×	31 0.5×	5 0.1×	66	499
Graham M. Donovan New Zealand	16	146 0.8×	5 0.0×	89 0.7×	48 0.8×	71 1.1×	60	788
Fernando O. Campos Austria	15	74 0.4×	14 0.1×	62 0.5×	69 1.1×	7 0.1×	42	592
D O'Connell United States	8	315 1.8×	18 0.1×	94 0.8×	40 0.6×	17 0.3×	9	507

Countries citing papers authored by A. Sarkar

Since Specialization

Citations

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

Fields of papers citing papers by A. Sarkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Sarkar

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Hallow, K. Melissa, Arthur Lo, Manoj C. Rodrigo, et al.. (2014). A model-based approach to investigating the pathophysiological mechanisms of hypertension and response to antihypertensive therapies: extending the Guyton model. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 306(9). R647–R662. 54 indexed citations

Neves, Susana R., Panayiotis Tsokas, A. Sarkar, et al.. (2008). Cell Shape and Negative Links in Regulatory Motifs Together Control Spatial Information Flow in Signaling Networks. Cell. 133(4). 666–680. 210 indexed citations

Sarkar, A., et al.. (2007). IκB, NF-κB Regulation Model: Simulation Analysis of Small Number of Molecules. PubMed. 2007. 1–10. 13 indexed citations

Sarkar, A., Daniel Beard, & B. Robert Franza. (2006). Effect of binding in cyclic phosphorylation–dephosphorylation process and in energy transformation. Mathematical Biosciences. 202(1). 175–193. 2 indexed citations

Jayaraman, G. & A. Sarkar. (2005). Nonlinear analysis of arterial blood flow—steady streaming effect. Nonlinear Analysis. 63(5-7). 880–890. 16 indexed citations

Sarkar, A. & G. Jayaraman. (2004). The effect of wall absorption on dispersion in oscillatory flow in an annulus: application to a catheterized artery. Acta Mechanica. 172(3-4). 151–167. 46 indexed citations

Sarkar, A. & B. Robert Franza. (2003). A logical analysis of the process of T cell activation: different consequences depending on the state of CD28 engagement. Journal of Theoretical Biology. 226(4). 455–466. 6 indexed citations

Sarkar, A. & G. Jayaraman. (2002). The effect of wall absorption on dispersion in annular flows. Acta Mechanica. 158(1-2). 105–119. 42 indexed citations

Sarkar, A. & G. Jayaraman. (2001). Nonlinear analysis of oscillatory flow in the annulus of an elastic tube: Application to catheterized artery. Physics of Fluids. 13(10). 2901–2911. 25 indexed citations

10.

Sarkar, A. & G. Jayaraman. (1998). Correction to flow rate — pressure drop relation in coronary angioplasty: steady streaming effect. Journal of Biomechanics. 31(9). 781–791. 57 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.

Explore authors with similar magnitude of impact