Kaustubh D. Bhalerao

478 total citations
21 papers, 346 citations indexed

About

Kaustubh D. Bhalerao is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Kaustubh D. Bhalerao has authored 21 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Biomedical Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Kaustubh D. Bhalerao's work include Gene Regulatory Network Analysis (4 papers), Advanced MEMS and NEMS Technologies (3 papers) and Force Microscopy Techniques and Applications (2 papers). Kaustubh D. Bhalerao is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), Advanced MEMS and NEMS Technologies (3 papers) and Force Microscopy Techniques and Applications (2 papers). Kaustubh D. Bhalerao collaborates with scholars based in United States, India and Canada. Kaustubh D. Bhalerao's co-authors include Alfred Soboyejo, W. O. Soboyejo, Kang Wu, Christopher V. Rao, Kris N. Lambert, Sadia Bekal, Abhishek S. Dhoble, Alan Hansen, Nancy K. McCoppin and Leslie L. Domier and has published in prestigious journals such as Applied Physics Letters, Bioresource Technology and Fuel.

In The Last Decade

Kaustubh D. Bhalerao

21 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaustubh D. Bhalerao United States 12 131 104 58 39 32 21 346
Ningning Xu China 12 93 0.7× 112 1.1× 78 1.3× 44 1.1× 61 1.9× 31 519
J. Brooks New Zealand 13 160 1.2× 110 1.1× 79 1.4× 40 1.0× 16 0.5× 25 523
Ji Hwan Lee South Korea 12 178 1.4× 233 2.2× 30 0.5× 58 1.5× 9 0.3× 37 650
Kentaro Ikeda Japan 13 62 0.5× 34 0.3× 37 0.6× 177 4.5× 20 0.6× 70 520
Pinghua Li China 11 86 0.7× 24 0.2× 32 0.6× 29 0.7× 21 0.7× 28 362
Kaizhen Liu China 13 110 0.8× 51 0.5× 21 0.4× 68 1.7× 28 0.9× 32 490
Jinmei Liu China 14 149 1.1× 26 0.3× 114 2.0× 85 2.2× 115 3.6× 50 463
Kenneth L. Drake United States 13 82 0.6× 160 1.5× 134 2.3× 11 0.3× 9 0.3× 20 736

Countries citing papers authored by Kaustubh D. Bhalerao

Since Specialization
Citations

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

Fields of papers citing papers by Kaustubh D. Bhalerao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaustubh D. Bhalerao. 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 Kaustubh D. Bhalerao. The network helps show where Kaustubh D. Bhalerao may publish in the future.

Co-authorship network of co-authors of Kaustubh D. Bhalerao

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

All Works

20 of 20 papers shown
2.
Dhoble, Abhishek S., et al.. (2019). Cytometric fingerprinting and machine learning (CFML): A novel label-free, objective method for routine mastitis screening. Computers and Electronics in Agriculture. 162. 505–513. 21 indexed citations
3.
Dhoble, Abhishek S., et al.. (2018). Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes. Journal of Biological Engineering. 12(1). 19–19. 11 indexed citations
4.
5.
Bekal, Sadia, et al.. (2014). A novel flavivirus in the soybean cyst nematode. Journal of General Virology. 95(6). 1272–1280. 40 indexed citations
6.
Bhalerao, Kaustubh D., et al.. (2013). Hidden hysteresis – population dynamics can obscure gene network dynamics. Journal of Biological Engineering. 7(1). 16–16. 2 indexed citations
7.
Salak‐Johnson, Janeen L., et al.. (2013). Effect of variability in lighting and temperature environments for mature gilts housed in gestation crates on measures of reproduction and animal well-being1. Journal of Animal Science. 91(3). 1225–1236. 27 indexed citations
8.
Wu, Kang, et al.. (2010). A modular positive feedback-based gene amplifier. Journal of Biological Engineering. 4(1). 4–4. 53 indexed citations
9.
Yang, Ke, et al.. (2010). A positive feedback-based gene circuit to increase the production of a membrane protein. Journal of Biological Engineering. 4(1). 11 indexed citations
10.
Bhalerao, Kaustubh D.. (2009). Synthetic gene networks: the next wave in biotechnology?. Trends in biotechnology. 27(6). 368–374. 15 indexed citations
11.
Hansen, Alan, et al.. (2008). Thin layer chromatography and image analysis to detect glycerol in biodiesel. Fuel. 87(15-16). 3369–3372. 41 indexed citations
12.
Bhalerao, Kaustubh D., Stephen C. Lee, Winston O. Soboyejo, & Alfred Soboyejo. (2007). A folic acid-based functionalized surface for biosensor systems. Journal of Materials Science Materials in Medicine. 18(1). 3–8. 11 indexed citations
13.
Bhalerao, Kaustubh D., et al.. (2007). Modeling Stochastic Performance and Random Failure. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations
14.
Steeves, Craig A., Yin Lu Young, Zhaolun Liu, et al.. (2007). Membrane thickness design of implantable bio-MEMS sensors for the in-situ monitoring of blood flow. Journal of Materials Science Materials in Medicine. 18(1). 25–37. 17 indexed citations
15.
Lou, Jun, Kaustubh D. Bhalerao, Alfred Soboyejo, & W. O. Soboyejo. (2006). An investigation of the effects of mix strength on the fracture and fatigue behavior of concrete mortar. Journal of Materials Science. 41(21). 6973–6977. 3 indexed citations
16.
Bhalerao, Kaustubh D., Edward Eteshola, Matthew T. Keener, & Stephen C. Lee. (2005). Nanodevice design through the functional abstraction of biological macromolecules. Applied Physics Letters. 87(14). 9 indexed citations
17.
Bhalerao, Kaustubh D., et al.. (2004). Bounds in the Sensitivity of BioMEMS Devices for Cell Detection. Biomedical Microdevices. 6(1). 23–31. 6 indexed citations
18.
Soboyejo, Alfred, Kaustubh D. Bhalerao, & W. O. Soboyejo. (2003). Reliability assessment of polysilicon MEMS structures under mechanical fatigue loading. Journal of Materials Science. 38(20). 4163–4167. 26 indexed citations
19.
Bhalerao, Kaustubh D., Alfred Soboyejo, & W. O. Soboyejo. (2003). Modeling of fatigue in polysilicon MEMS structures. Journal of Materials Science. 38(20). 4157–4161. 14 indexed citations
20.
Bhalerao, Kaustubh D., et al.. (2003). A probabilistic multiparameter framework for the modeling of fatigue crack growth in concrete. Cement and Concrete Composites. 25(6). 607–615. 5 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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