Yogesh Badhe

939 total citations
26 papers, 763 citations indexed

About

Yogesh Badhe is a scholar working on Molecular Biology, Organic Chemistry and Pharmaceutical Science. According to data from OpenAlex, Yogesh Badhe has authored 26 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Organic Chemistry and 6 papers in Pharmaceutical Science. Recurrent topics in Yogesh Badhe's work include Surfactants and Colloidal Systems (7 papers), Advancements in Transdermal Drug Delivery (5 papers) and Lipid Membrane Structure and Behavior (5 papers). Yogesh Badhe is often cited by papers focused on Surfactants and Colloidal Systems (7 papers), Advancements in Transdermal Drug Delivery (5 papers) and Lipid Membrane Structure and Behavior (5 papers). Yogesh Badhe collaborates with scholars based in India, United States and Germany. Yogesh Badhe's co-authors include Sanjeev S. Tambe, Bhaskar D. Kulkarni, Beena Rai, Rakesh Gupta, Kiran M. Desai, Samir Mitragotri, Bijay Kumar Sharma, Sujan Saha, S. S. Lele and B.S. Rao and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and Journal of Membrane Science.

In The Last Decade

Yogesh Badhe

22 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yogesh Badhe India	13	191	178	153	146	92	26	763
Xia Ji China	18	171 0.9×	80 0.4×	172 1.1×	59 0.4×	53 0.6×	33	1.2k
Salah Hanini Algeria	21	228 1.2×	164 0.9×	86 0.6×	46 0.3×	33 0.4×	92	1.1k
Ryan Gosselin Canada	17	141 0.7×	151 0.8×	110 0.7×	69 0.5×	80 0.9×	63	903
Jakob Rehrl Austria	15	210 1.1×	204 1.1×	112 0.7×	293 2.0×	80 0.9×	49	742
M. Soledad Díaz Argentina	20	458 2.4×	151 0.8×	190 1.2×	386 2.6×	30 0.3×	74	1.2k
Ashish Kumar Belgium	21	253 1.3×	531 3.0×	315 2.1×	104 0.7×	452 4.9×	59	1.4k
Hasan Sadıkoğlu Türkiye	20	384 2.0×	154 0.9×	214 1.4×	68 0.5×	41 0.4×	53	1.4k
Ravendra Singh United States	25	298 1.6×	517 2.9×	274 1.8×	505 3.5×	221 2.4×	63	1.6k
Shuning Zhang China	24	281 1.5×	364 2.0×	273 1.8×	162 1.1×	80 0.9×	85	1.9k
Magnus Fransson Sweden	17	87 0.5×	175 1.0×	106 0.7×	105 0.7×	211 2.3×	24	677

Countries citing papers authored by Yogesh Badhe

Since Specialization

Citations

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

Fields of papers citing papers by Yogesh Badhe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yogesh Badhe

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

All Works

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20 of 20 papers shown

Deshpande, Parijat, et al.. (2024). An in silico design method of a peptide bioreceptor for cortisol using molecular modelling techniques. Scientific Reports. 14(1). 22325–22325.

Badhe, Yogesh, et al.. (2024). Molecular insights into the oleic acid accumulation in safflower. Journal of the American Oil Chemists Society. 102(2). 351–363.

Deshpande, Parijat, et al.. (2024). Design of Future Wearable Glucose Biosensors. PubMed. 2024. 1–5.

Deshpande, Parijat, Dharmendr Kumar, Yogesh Badhe, & Beena Rai. (2024). Molecular Dynamics Model for Developing Wearable Biosensors. PubMed. 2024. 1–4.

Badhe, Yogesh, Dharmendr Kumar, Rakesh Gupta, Vinay Jain, & Beena Rai. (2024). Coarse grained MD simulation of bulk and interfacial behavior of mixture of CTAB/SDS surfactants. Journal of Molecular Modeling. 30(6). 162–162. 2 indexed citations

Badhe, Yogesh, et al.. (2023). Modeling the effect of pH on the permeability of dried chitosan film. Journal of Food Engineering. 358. 111682–111682. 7 indexed citations

Badhe, Yogesh, et al.. (2023). Elucidating collective translocation of nanoparticles across the skin lipid matrix: a molecular dynamics study. Nanoscale Advances. 5(7). 1978–1989. 6 indexed citations

Badhe, Yogesh, Thomas Schmitt, Rakesh Gupta, Beena Rai, & Reinhard H.H. Neubert. (2022). Investigating the nanostructure of a CER[NP]/CER[AP]-based stratum corneum lipid matrix model: A combined neutron diffraction & molecular dynamics simulations approach. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1864(10). 184007–184007. 12 indexed citations

Badhe, Yogesh, et al.. (2022). Peptide mediated colorimetric detection of SARS-CoV-2 using gold nanoparticles: a molecular dynamics simulation study. Journal of Molecular Modeling. 28(7). 202–202. 5 indexed citations

10.

Badhe, Yogesh, Rakesh Gupta, & Beena Rai. (2021). In silico design of peptides with binding to the receptor binding domain (RBD) of the SARS-CoV-2 and their utility in bio-sensor development for SARS-CoV-2 detection. RSC Advances. 11(7). 3816–3826. 24 indexed citations

11.

Badhe, Yogesh, Rakesh Gupta, & Beena Rai. (2020). Development and application of coarse-grained MARTINI model of skin lipid ceramide [AP]. Journal of Molecular Modeling. 26(7). 182–182. 7 indexed citations

12.

Gupta, Rakesh, Yogesh Badhe, Beena Rai, & Samir Mitragotri. (2020). Molecular mechanism of the skin permeation enhancing effect of ethanol: a molecular dynamics study. RSC Advances. 10(21). 12234–12248. 69 indexed citations

13.

Gupta, Rakesh, Yogesh Badhe, Samir Mitragotri, & Beena Rai. (2020). Permeation of nanoparticles across the intestinal lipid membrane: dependence on shape and surface chemistry studied through molecular simulations. Nanoscale. 12(11). 6318–6333. 77 indexed citations

14.

Badhe, Yogesh, Rakesh Gupta, & Beena Rai. (2019). Structural and barrier properties of the skin ceramide lipid bilayer: a molecular dynamics simulation study. Journal of Molecular Modeling. 25(5). 140–140. 23 indexed citations

15.

Raje, Dhananjay V., Hemant J. Purohit, Yogesh Badhe, Sanjeev S. Tambe, & B. D. Kulkarni. (2010). Self-organizing maps: A tool to ascertain taxonomic relatedness based on features derived from 16S rDNA sequence. Journal of Biosciences. 35(4). 617–627. 6 indexed citations

16.

Kamal, K., et al.. (2007). STUDY OF A LABORATORY-SCALE FROTH FLOTATION PROCESS USING ARTIFICIAL NEURAL NETWORKS. Mineral Processing and Extractive Metallurgy Review. 29(2). 130–142. 22 indexed citations

17.

Saha, Sujan, Bijay Kumar Sharma, Gajanan Sahu, et al.. (2006). Density measurements of coal samples by different probe gases and their interrelation. Fuel. 86(10-11). 1594–1600. 23 indexed citations

18.

Patel, Shagufta U., Yogesh Badhe, Bijay Kumar Sharma, et al.. (2006). Estimation of gross calorific value of coals using artificial neural networks. Fuel. 86(3). 334–344. 121 indexed citations

19.

Desai, Kiran M., Yogesh Badhe, Sanjeev S. Tambe, & Bhaskar D. Kulkarni. (2005). Soft-sensor development for fed-batch bioreactors using support vector regression. Biochemical Engineering Journal. 27(3). 225–239. 120 indexed citations

20.

Badhe, Yogesh, et al.. (2003). Prediction of Mass Transfer Coefficient in Down Flow Jet Loop Reactor Using Artificial Neural Network. Indian Chemical Engineer. 45(4). 256–258. 3 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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