Sree N. Sreenath

428 total citations
17 papers, 284 citations indexed

About

Sree N. Sreenath is a scholar working on Molecular Biology, Biophysics and Ocean Engineering. According to data from OpenAlex, Sree N. Sreenath has authored 17 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Biophysics and 3 papers in Ocean Engineering. Recurrent topics in Sree N. Sreenath's work include Gene Regulatory Network Analysis (10 papers), Bioinformatics and Genomic Networks (7 papers) and Cell Image Analysis Techniques (4 papers). Sree N. Sreenath is often cited by papers focused on Gene Regulatory Network Analysis (10 papers), Bioinformatics and Genomic Networks (7 papers) and Cell Image Analysis Techniques (4 papers). Sree N. Sreenath collaborates with scholars based in United States, Germany and South Korea. Sree N. Sreenath's co-authors include Mihajlo Mesarović, J. D. Keene, P.E. Wellstead, Michael Weis, Kwang‐Hyun Cho, James W. Jacobberger, Olaf Wolkenhauer, Radina P. Soebiyanto, Mukhtar Ullah and Kenneth A. Loparo and has published in prestigious journals such as PLoS ONE, Biochemical Society Transactions and Cells.

In The Last Decade

Sree N. Sreenath

16 papers receiving 271 citations

Peers

Countries citing papers authored by Sree N. Sreenath

Since Specialization

Citations

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

Fields of papers citing papers by Sree N. Sreenath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sree N. Sreenath. 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 Sree N. Sreenath. The network helps show where Sree N. Sreenath may publish in the future.

Co-authorship network of co-authors of Sree N. Sreenath

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Complex Systems Biology Approach in Connecting PI3K-Akt and NF-κB Pathways in Prostate Cancer 2019 ·Cells ·Eswar Shankar, Michael Weis, (unknown), Sanjeev Shukla, Meenakshi Shukla, Sree N. Sreenath, Sanjay Gupta	16
2	A Data-Driven, Mathematical Model of Mammalian Cell Cycle Regulation 2014 ·PLoS ONE ·Michael Weis, (unknown), James W. Jacobberger, Sree N. Sreenath	30
3	Dynamic Expression Profiles from Static Cytometry Data: Component Fitting and Conversion to Relative, “Same Scale” Values 2012 ·PLoS ONE ·(unknown), Michael Weis, R. Michael Sramkoski, Sree N. Sreenath, James W. Jacobberger	9
4	Dynamic Epitope Expression from Static Cytometry Data: Principles and Reproducibility 2012 ·PLoS ONE ·James W. Jacobberger, (unknown), Sree N. Sreenath, Michael Weis, Tammy Stefan	11
5	CytoSys: A Tool for Extracting Cell-Cycle-Related Expression Dynamics from Static Data 2011 ·Methods in molecular biology ·(unknown), Michael Weis, Radina P. Soebiyanto, James W. Jacobberger, Sree N. Sreenath	4
6	PIV INVESTIGATION OF CEREBRAL SPINAL FLUID FLOW IN THE CEREBRAL VENTRICULAR SYSTEM 2009 ·Journal of Flow Visualization and Image Processing ·(unknown), Jaikrishnan R. Kadambi, Kenneth A. Loparo, Sree N. Sreenath, Sunil Manjila	1
7	The role of dynamic stimulation pattern in the analysis of bistable intracellular networks 2008 ·Biosystems ·Thomas Millat, Sree N. Sreenath, Radina P. Soebiyanto, (unknown), Kwang‐Hyun Cho, Olaf Wolkenhauer	7
8	Modelling the dynamics of signalling pathways 2008 ·Essays in Biochemistry ·Sree N. Sreenath, Kwang‐Hyun Cho, P.E. Wellstead	35
9	Complex systems biology approach to understanding coordination of JAK-STAT signaling 2007 ·Biosystems ·Radina P. Soebiyanto, Sree N. Sreenath, Cheng‐Kui Qu, Kenneth A. Loparo, Kevin D. Bunting	17
10	Coordination of crosstalk between MAPK–PKC pathways: an exploratory study 2007 ·IET Systems Biology ·Sree N. Sreenath, Radina P. Soebiyanto, Mihajlo Mesarović, Olaf Wolkenhauer	7
11	A systems approach to validating the water vision of the Aral Sea Basin 2006 ·Water International ·(unknown), Sree N. Sreenath, (unknown)	2
12	Beyond the Flat Earth Perspective in Systems Biology 2006 ·Biological Theory ·Mihajlo Mesarović, Sree N. Sreenath	13
13	From Networks to Systems to Complex Systems: A Signaling Pathway Coordination Case Study 2006 ·Radina P. Soebiyanto, Sree N. Sreenath, Mihajlo Mesarović, Olaf Wolkenhauer	0
14	Optimum Supportable Global Population: Water Accounting and Dietary Considerations 2006 ·Environment Development and Sustainability ·(unknown), Sree N. Sreenath, (unknown)	1
15	A systems- and signal-oriented approach to intracellular dynamics 2005 ·Biochemical Society Transactions ·Olaf Wolkenhauer, Sree N. Sreenath, P.E. Wellstead, Mukhtar Ullah, (unknown)	26
16	Search for organising principles: understanding in systems biology 2004 ·PubMed ·Mihajlo Mesarović, J. D. Keene, Sree N. Sreenath	102
17	The Nile River Problematique 2002 ·Water International ·Sree N. Sreenath, (unknown), (unknown)	3

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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