Gaurav Goyal

792 total citations
25 papers, 639 citations indexed

About

Gaurav Goyal is a scholar working on Biomedical Engineering, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Gaurav Goyal has authored 25 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 8 papers in Molecular Biology and 7 papers in Computational Mechanics. Recurrent topics in Gaurav Goyal's work include Nanopore and Nanochannel Transport Studies (12 papers), Ion-surface interactions and analysis (6 papers) and Lipid Membrane Structure and Behavior (4 papers). Gaurav Goyal is often cited by papers focused on Nanopore and Nanochannel Transport Studies (12 papers), Ion-surface interactions and analysis (6 papers) and Lipid Membrane Structure and Behavior (4 papers). Gaurav Goyal collaborates with scholars based in United States, Sweden and South Korea. Gaurav Goyal's co-authors include Min Jun Kim, Apurva Sarin, Richard J. Youle, Venkataraman Sriram, Chi Won Ahn, Kevin J. Freedman, Gwynn J. Elfring, Yong‐Bok Lee, Buddini I. Karawdeniya and Ramalingam Venkat Kalyana Sundaram and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Gaurav Goyal

23 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaurav Goyal United States 15 363 272 116 91 73 25 639
Panchika Prangkio Thailand 9 650 1.8× 371 1.4× 147 1.3× 85 0.9× 183 2.5× 21 953
Lorenz J. Steinbock United Kingdom 16 841 2.3× 350 1.3× 207 1.8× 112 1.2× 243 3.3× 20 1.1k
Mohammad M. Mohammad United States 12 299 0.8× 375 1.4× 44 0.4× 30 0.3× 50 0.7× 17 549
P. Sunthar India 12 157 0.4× 198 0.7× 89 0.8× 131 1.4× 21 0.3× 33 599
Matthew Munson United States 18 882 2.4× 304 1.1× 26 0.2× 28 0.3× 216 3.0× 27 1.2k
Susanne Hage Netherlands 10 280 0.8× 402 1.5× 47 0.4× 109 1.2× 94 1.3× 12 646
Jiwook Shim United States 17 889 2.4× 635 2.3× 160 1.4× 228 2.5× 275 3.8× 35 1.3k
Melikhan Tanyeri United States 13 572 1.6× 115 0.4× 54 0.5× 50 0.5× 202 2.8× 27 777
Christopher Ko South Korea 21 1.2k 3.3× 650 2.4× 36 0.3× 46 0.5× 362 5.0× 27 1.8k
Wayne Yang Netherlands 13 431 1.2× 286 1.1× 71 0.6× 100 1.1× 182 2.5× 30 691

Countries citing papers authored by Gaurav Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Gaurav Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Goyal

This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav Goyal. A scholar is included among the top collaborators of Gaurav Goyal 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 Gaurav Goyal. Gaurav Goyal 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
1.
Johnning, Anna, Karolin Frykholm, Marie Wrande, et al.. (2023). Strain-level bacterial typing directly from patient samples using optical DNA mapping. SHILAP Revista de lepidopterología. 3(1). 31–31. 12 indexed citations
2.
Goyal, Gaurav, Tsegaye Sewunet, Christian G. Giske, et al.. (2022). A simple cut and stretch assay to detect antimicrobial resistance genes on bacterial plasmids by single-molecule fluorescence microscopy. Scientific Reports. 12(1). 9301–9301. 8 indexed citations
3.
Wang, Jinglong, Raphaël Guérois, Gaurav Goyal, et al.. (2021). Dynamics of Ku and bacterial non-homologous end-joining characterized using single DNA molecule analysis. Nucleic Acids Research. 49(5). 2629–2641. 22 indexed citations
4.
Goyal, Gaurav, et al.. (2021). Combining dense and sparse labeling in optical DNA mapping. PLoS ONE. 16(11). e0260489–e0260489. 4 indexed citations
5.
Solgi, Hamid, Christian G. Giske, Farzad Badmasti, et al.. (2020). Molecular Epidemiology of OXA-48 and NDM-1 Producing Enterobacterales Species at a University Hospital in Tehran, Iran, Between 2015 and 2016. Frontiers in Microbiology. 11. 936–936. 39 indexed citations
6.
Bhattacharya, Sankha, et al.. (2020). Preparation and Evaluation of Sodium Alginate Microparticles using Pepsin. Journal of Drug Delivery and Therapeutics. 10(2). 5–11. 1 indexed citations
7.
Bandara, Y. M. Nuwan D. Y., et al.. (2019). Stiffness measurement of nanosized liposomes using solid‐state nanopore sensor with automated recapturing platform. Electrophoresis. 40(9). 1337–1344. 19 indexed citations
8.
Goyal, Gaurav, et al.. (2019). Inter-axonal recognition organizes Drosophila olfactory map formation. Scientific Reports. 9(1). 11554–11554. 8 indexed citations
9.
Goyal, Gaurav, et al.. (2019). Sphingolipid-dependent Dscam sorting regulates axon segregation. Nature Communications. 10(1). 17 indexed citations
10.
Peng, Bin, Ramalingam Venkat Kalyana Sundaram, Gaurav Goyal, et al.. (2018). Mechanical characterization of HIV‐1 with a solid‐state nanopore sensor. Electrophoresis. 40(5). 776–783. 34 indexed citations
11.
12.
Elfring, Gwynn J. & Gaurav Goyal. (2016). The effect of gait on swimming in viscoelastic fluids. Journal of Non-Newtonian Fluid Mechanics. 234. 8–14. 28 indexed citations
13.
Goyal, Gaurav, et al.. (2016). Hydrophilic and size-controlled graphene nanopores for protein detection. Nanotechnology. 27(49). 495301–495301. 63 indexed citations
14.
Lee, Mi‐Kyung, et al.. (2016). Probing the Small‐Molecule Inhibition of an Anticancer Therapeutic Protein‐Protein Interaction Using a Solid‐State Nanopore. Angewandte Chemie. 128(19). 5807–5811. 5 indexed citations
15.
Goyal, Gaurav, et al.. (2015). Low aspect ratio micropores for single‐particle and single‐cell analysis. Electrophoresis. 36(9-10). 1164–1171. 20 indexed citations
16.
Goyal, Gaurav, et al.. (2015). Sensing, capturing, and interrogation of single virus particles with solid state nanopores. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9490. 94900M–94900M. 2 indexed citations
17.
Goyal, Gaurav, et al.. (2015). Use of solid-state nanopores for sensing co-translocational deformation of nano-liposomes. The Analyst. 140(14). 4865–4873. 30 indexed citations
18.
Goyal, Gaurav, Kevin J. Freedman, & Min Jun Kim. (2013). Gold Nanoparticle Translocation Dynamics and Electrical Detection of Single Particle Diffusion Using Solid-State Nanopores. Analytical Chemistry. 85(17). 8180–8187. 60 indexed citations
19.
Goyal, Gaurav, Anjana Dogra, Sudhindra Rayaprol, et al.. (2012). Structural and magnetization studies on nanoparticles of Nd doped α-Fe2O3. Materials Chemistry and Physics. 134(1). 133–138. 15 indexed citations
20.
Goyal, Gaurav, et al.. (2007). Role of Mitochondrial Remodeling in Programmed Cell Death in Drosophila melanogaster. Developmental Cell. 12(5). 807–816. 108 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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