Dipak Barua

1.2k total citations
44 papers, 829 citations indexed

About

Dipak Barua is a scholar working on Molecular Biology, Endocrinology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dipak Barua has authored 44 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Endocrinology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dipak Barua's work include Vibrio bacteria research studies (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Gene Regulatory Network Analysis (5 papers). Dipak Barua is often cited by papers focused on Vibrio bacteria research studies (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Gene Regulatory Network Analysis (5 papers). Dipak Barua collaborates with scholars based in United States, Bangladesh and Australia. Dipak Barua's co-authors include William S. Hlavacek, B Cvjetanović, James R. Faeder, Sutapa Barua, Jason M. Haugh, Theodosia Gougousi, Gregory N. Parsons, Sanjana Gupta, Antony W. Burgess and Noga Kozer and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Applied Physics Letters.

In The Last Decade

Dipak Barua

38 papers receiving 798 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dipak Barua United States	16	418	109	96	96	91	44	829
Yijun Gu China	19	973 2.3×	75 0.7×	138 1.4×	145 1.5×	23 0.3×	52	1.4k
Tammy‐Lynn Tremblay Canada	15	610 1.5×	83 0.8×	164 1.7×	44 0.5×	65 0.7×	28	1.0k
Sung-Hyun Kim South Korea	17	766 1.8×	65 0.6×	192 2.0×	52 0.5×	26 0.3×	26	1.3k
H. Souchon France	10	556 1.3×	140 1.3×	87 0.9×	137 1.4×	70 0.8×	15	899
Francesca Vasile Italy	16	542 1.3×	68 0.6×	34 0.4×	64 0.7×	40 0.4×	62	799
Guodong Hu China	21	912 2.2×	254 2.3×	108 1.1×	135 1.4×	21 0.2×	86	1.5k
Mark P. Pereira Canada	16	1.1k 2.7×	62 0.6×	162 1.7×	139 1.4×	17 0.2×	34	1.5k
Zanxia Cao China	17	511 1.2×	24 0.2×	108 1.1×	134 1.4×	37 0.4×	58	828
Brian G. Reid United States	16	1.3k 3.2×	107 1.0×	184 1.9×	261 2.7×	28 0.3×	20	1.8k

Countries citing papers authored by Dipak Barua

Since Specialization

Citations

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

Fields of papers citing papers by Dipak Barua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipak Barua

This figure shows the co-authorship network connecting the top 25 collaborators of Dipak Barua. A scholar is included among the top collaborators of Dipak Barua 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 Dipak Barua. Dipak Barua 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:

20 of 20 papers shown

Barua, Dipak, et al.. (2025). Leveraging artificial intelligence for smart production management in industry 4.0. Scientific Reports. 15(1). 41559–41559.

Guzy, Serge, Tomoki Yoneyama, Sergio Iadevaia, et al.. (2025). Establishment of a Biomarker‐Directed Clinical Endpoint Model for Early‐Stage Parkinson's Disease Patients. Clinical Pharmacology & Therapeutics. 117(5). 1460–1469. 2 indexed citations

Linninger, Andreas A., Dipak Barua, Yaming Hang, Sergio Iadevaia, & Majid Vakilynejad. (2023). A mechanistic pharmacokinetic model for intrathecal administration of antisense oligonucleotides. Frontiers in Physiology. 14. 1130925–1130925. 8 indexed citations

Barua, Dipak, et al.. (2020). Dissecting Particle Uptake Heterogeneity in a Cell Population Using Bayesian Analysis. Biophysical Journal. 118(7). 1526–1536. 3 indexed citations

Erickson, Keesha E., Oleksii S. Rukhlenko, Yen Ting Lin, et al.. (2019). Modeling cell line-specific recruitment of signaling proteins to the insulin-like growth factor 1 receptor. PLoS Computational Biology. 15(1). e1006706–e1006706. 7 indexed citations

Barua, Sutapa, et al.. (2018). Quantitative Analysis of the Correlation between Cell Size and Cellular Uptake of Particles. Biophysical Journal. 116(2). 347–359. 26 indexed citations

Barua, Dipak. (2018). A model-based analysis of tissue targeting efficacy of nanoparticles. Journal of The Royal Society Interface. 15(140). 20170787–20170787. 9 indexed citations

Barua, Sutapa, et al.. (2017). A multiscale modeling study of particle size effects on the tissue penetration efficacy of drug-delivery nanoparticles. BMC Systems Biology. 11(1). 113–113. 47 indexed citations

Harris, Leonard A., Justin Hogg, John A. P. Sekar, et al.. (2016). BioNetGen 2.2: advances in rule-based modeling. Bioinformatics. 32(21). 3366–3368. 131 indexed citations

10.

Barua, Dipak & William S. Hlavacek. (2013). Modeling the Effect of APC Truncation on Destruction Complex Function in Colorectal Cancer Cells. PLoS Computational Biology. 9(9). e1003217–e1003217. 19 indexed citations

11.

Kozer, Noga, Dipak Barua, Suzanne G. Orchard, et al.. (2013). Exploring higher-order EGFR oligomerisation and phosphorylation—a combined experimental and theoretical approach. Molecular BioSystems. 9(7). 1849–1863. 57 indexed citations

12.

Liu, Yanli, Dipak Barua, Peng Liu, et al.. (2013). Single-Cell Measurements of IgE-Mediated FcεRI Signaling Using an Integrated Microfluidic Platform. PLoS ONE. 8(3). e60159–e60159. 22 indexed citations

13.

Barua, Dipak & Byron Goldstein. (2012). A Mechanistic Model of Early FcεRI Signaling: Lipid Rafts and the Question of Protection from Dephosphorylation. PLoS ONE. 7(12). e51669–e51669. 22 indexed citations

14.

Martin, Katie R., Dipak Barua, Laura M. Westrate, et al.. (2012). Computational model for autophagic vesicle dynamics in single cells. Autophagy. 9(1). 74–92. 30 indexed citations

15.

Barua, Dipak, Joonhoon Kim, & Jennifer L. Reed. (2010). An Automated Phenotype-Driven Approach (GeneForce) for Refining Metabolic and Regulatory Models. PLoS Computational Biology. 6(10). e1000970–e1000970. 40 indexed citations

16.

Barua, Dipak, James R. Faeder, & Jason M. Haugh. (2008). Computational Models of Tandem Src Homology 2 Domain Interactions and Application to Phosphoinositide 3-Kinase. Journal of Biological Chemistry. 283(12). 7338–7345. 17 indexed citations

17.

Barua, Dipak, James R. Faeder, & Jason M. Haugh. (2007). Structure-Based Kinetic Models of Modular Signaling Protein Function: Focus on Shp2. Biophysical Journal. 92(7). 2290–2300. 30 indexed citations

18.

Barua, Dipak. (1969). Vihāras in ancient India : a survey of Buddhist monasteries.

19.

Barua, Dipak, et al.. (1964). FIELD TRIAL OF CHOLERA VACCINE IN TAMLUK.. PubMed. 12. 96–96. 1 indexed citations

20.

Barua, Dipak, et al.. (1961). The Effect of Chloramphenicol on S. typhi in Gall-Bladder.. The Indian Journal of Medical Research. 49(4). 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.

Explore authors with similar magnitude of impact