K. Vijaya Krishna

639 total citations
12 papers, 507 citations indexed

About

K. Vijaya Krishna is a scholar working on Biomaterials, Molecular Biology and Cell Biology. According to data from OpenAlex, K. Vijaya Krishna has authored 12 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomaterials, 5 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in K. Vijaya Krishna's work include Supramolecular Self-Assembly in Materials (4 papers), Biotin and Related Studies (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). K. Vijaya Krishna is often cited by papers focused on Supramolecular Self-Assembly in Materials (4 papers), Biotin and Related Studies (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). K. Vijaya Krishna collaborates with scholars based in India, Ireland and France. K. Vijaya Krishna's co-authors include Abhay Pandit, Sandeep Verma, Cécilia Ménard‐Moyon, Alberto Bianco, David Eglin, Raghvendra A. Bohara, Yazhong Bu, Fanny Bonachéra, V. Venkatesh and Peadar Rooney and has published in prestigious journals such as ACS Nano, Langmuir and The Journal of Organic Chemistry.

In The Last Decade

K. Vijaya Krishna

10 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Vijaya Krishna India 8 233 205 163 93 48 12 507
Zhiyong Qian China 16 199 0.9× 115 0.6× 137 0.8× 91 1.0× 32 0.7× 36 519
Jagannath Mondal South Korea 10 225 1.0× 225 1.1× 301 1.8× 66 0.7× 58 1.2× 17 657
Sheetal D’Mello United States 10 278 1.2× 207 1.0× 194 1.2× 75 0.8× 65 1.4× 10 607
Martina Bruna Violatto Italy 15 185 0.8× 286 1.4× 157 1.0× 144 1.5× 50 1.0× 26 647
Hsiao‐Ying Chou Taiwan 17 290 1.2× 314 1.5× 154 0.9× 94 1.0× 24 0.5× 22 615
Endiries Yibru Hanurry Taiwan 14 223 1.0× 239 1.2× 133 0.8× 52 0.6× 17 0.4× 16 457
Sivakoti Sangabathuni India 11 191 0.8× 142 0.7× 188 1.2× 54 0.6× 38 0.8× 16 523
Husam M. Younes Qatar 14 207 0.9× 333 1.6× 116 0.7× 66 0.7× 36 0.8× 27 646
Tefera Worku Mekonnen Taiwan 13 219 0.9× 241 1.2× 120 0.7× 53 0.6× 17 0.4× 15 441
Di Chuan China 15 415 1.8× 296 1.4× 257 1.6× 158 1.7× 31 0.6× 18 779

Countries citing papers authored by K. Vijaya Krishna

Since Specialization
Citations

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

Fields of papers citing papers by K. Vijaya Krishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Vijaya Krishna. 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 K. Vijaya Krishna. The network helps show where K. Vijaya Krishna may publish in the future.

Co-authorship network of co-authors of K. Vijaya Krishna

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

All Works

12 of 12 papers shown
1.
Krishna, K. Vijaya, et al.. (2024). Exploring the synergy between generative AI and software engineering: Automating code optimization and bug fixing. World Journal of Advanced Engineering Technology and Sciences. 13(1). 682–691.
2.
Krishna, K. Vijaya, et al.. (2023). Stimuli‐Responsive and Multifunctional Nanogels in Drug Delivery. Chemistry & Biodiversity. 20(11). e202301009–e202301009. 10 indexed citations
3.
4.
Bu, Yazhong, et al.. (2020). Design of tunable gelatin-dopamine based bioadhesives. International Journal of Biological Macromolecules. 164. 1384–1391. 96 indexed citations
5.
6.
Kotla, Niranjan G., Peadar Rooney, Gandhi Sivaraman, et al.. (2017). Biomimetic Lipid-Based Nanosystems for Enhanced Dermal Delivery of Drugs and Bioactive Agents. ACS Biomaterials Science & Engineering. 3(7). 1262–1272. 64 indexed citations
7.
Kumar, Vikas, et al.. (2016). Aggregation propensity of amyloidogenic and elastomeric dipeptides constituents. Tetrahedron. 72(35). 5369–5376. 7 indexed citations
8.
Krishna, K. Vijaya, et al.. (2015). Fluorescent Biotin Analogues for Microstructure Patterning and Selective Protein Immobilization. Langmuir. 31(46). 12573–12578. 2 indexed citations
9.
Ménard‐Moyon, Cécilia, V. Venkatesh, K. Vijaya Krishna, et al.. (2015). Self‐Assembly of Tyrosine into Controlled Supramolecular Nanostructures. Chemistry - A European Journal. 21(33). 11681–11686. 77 indexed citations
10.
Krishna, K. Vijaya, Cécilia Ménard‐Moyon, Sandeep Verma, & Alberto Bianco. (2013). Graphene-Based Nanomaterials for Nanobiotechnology and Biomedical Applications. Nanomedicine. 8(10). 1669–1688. 100 indexed citations
11.
Krishna, K. Vijaya & Sandeep Verma. (2011). Investigating the Avidin-Biotin Interaction on Chiral Soft Structure Platforms. Australian Journal of Chemistry. 64(5). 576–582.
12.
Joshi, Khashti Ballabh, K. Vijaya Krishna, & Sandeep Verma. (2010). Self-Assembled Morphologies from C2- and C3-Symmetric Biotin Conjugates. The Journal of Organic Chemistry. 75(12). 4280–4283. 9 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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2026