Pradeep Kumar Sreenivasaiah

544 total citations
9 papers, 435 citations indexed

About

Pradeep Kumar Sreenivasaiah is a scholar working on Molecular Biology, Cell Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Pradeep Kumar Sreenivasaiah has authored 9 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Pradeep Kumar Sreenivasaiah's work include Bioinformatics and Genomic Networks (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Pradeep Kumar Sreenivasaiah is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Pradeep Kumar Sreenivasaiah collaborates with scholars based in South Korea and Canada. Pradeep Kumar Sreenivasaiah's co-authors include Do Han Kim, Luis B. Agellon, Marek Michalak, Jody Groenendyk, Hyeseon Cha, Eun Jeong Kwon, Chunghee Cho, Mi Young Lee, Woo Jin Park and Jin Ock Kim and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Circulation Research.

In The Last Decade

Pradeep Kumar Sreenivasaiah

9 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pradeep Kumar Sreenivasaiah South Korea	6	236	210	128	93	64	9	435
Dajun Zhao China	8	103 0.4×	193 0.9×	155 1.2×	143 1.5×	60 0.9×	15	493
Russell Watts Canada	11	152 0.6×	295 1.4×	162 1.3×	31 0.3×	112 1.8×	16	582
Bradley Nelson United States	8	81 0.3×	300 1.4×	39 0.3×	227 2.4×	78 1.2×	10	620
Ting Xin China	8	56 0.2×	191 0.9×	187 1.5×	30 0.3×	30 0.5×	11	406
Chuanshi Xiao China	11	37 0.2×	166 0.8×	96 0.8×	77 0.8×	64 1.0×	24	390
Kwan Yi Chu Australia	15	137 0.6×	277 1.3×	171 1.3×	92 1.0×	396 6.2×	18	797
Zhihong Wu China	12	72 0.3×	111 0.5×	120 0.9×	44 0.5×	140 2.2×	28	437
Manisha Nautiyal United States	14	59 0.3×	249 1.2×	191 1.5×	151 1.6×	52 0.8×	21	591

Countries citing papers authored by Pradeep Kumar Sreenivasaiah

Since Specialization

Citations

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

Fields of papers citing papers by Pradeep Kumar Sreenivasaiah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradeep Kumar Sreenivasaiah. 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 Pradeep Kumar Sreenivasaiah. The network helps show where Pradeep Kumar Sreenivasaiah may publish in the future.

Co-authorship network of co-authors of Pradeep Kumar Sreenivasaiah

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

All Works

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9 of 9 papers shown

Sreenivasaiah, Pradeep Kumar, et al.. (2017). Salubrinal Alleviates Pressure Overload-Induced Cardiac Hypertrophy by Inhibiting Endoplasmic Reticulum Stress Pathway. Molecules and Cells. 40(1). 66–72. 23 indexed citations

Sreenivasaiah, Pradeep Kumar, Jin Ock Kim, Mi Young Lee, et al.. (2017). Tauroursodeoxycholic acid (TUDCA) attenuates pressure overload-induced cardiac remodeling by reducing endoplasmic reticulum stress. PLoS ONE. 12(4). e0176071–e0176071. 55 indexed citations

Sreenivasaiah, Pradeep Kumar, et al.. (2015). Characterization of Ca2+-Dependent Protein-Protein Interactions within the Ca2+ Release Units of Cardiac Sarcoplasmic Reticulum. Molecules and Cells. 39(2). 149–155. 7 indexed citations

Sreenivasaiah, Pradeep Kumar, et al.. (2012). IPAVS: Integrated Pathway Resources, Analysis, and Visualization System. Biophysical Journal. 102(3). 183a–183a. 1 indexed citations

Cha, Hyeseon, et al.. (2012). The chemical chaperone 4-phenylbutyric acid attenuates pressure-overload cardiac hypertrophy by alleviating endoplasmic reticulum stress. Biochemical and Biophysical Research Communications. 421(3). 578–584. 77 indexed citations

Sreenivasaiah, Pradeep Kumar, et al.. (2011). IPAVS: Integrated Pathway Resources, Analysis and Visualization System. Nucleic Acids Research. 40(D1). D803–D808. 14 indexed citations

Sreenivasaiah, Pradeep Kumar & Do Han Kim. (2010). Current Trends and New Challenges of Databases and Web Applications for Systems Driven Biological Research. Frontiers in Physiology. 1. 147–147. 4 indexed citations

Groenendyk, Jody, Pradeep Kumar Sreenivasaiah, Do Han Kim, Luis B. Agellon, & Marek Michalak. (2010). Biology of Endoplasmic Reticulum Stress in the Heart. Circulation Research. 107(10). 1185–1197. 253 indexed citations

Sreenivasaiah, Pradeep Kumar, et al.. (2009). Development of Cardiac Integrated Database Management System (CIDMS). Biophysical Journal. 96(3). 650a–650a. 1 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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