Archana Vimal

907 total citations
32 papers, 637 citations indexed

About

Archana Vimal is a scholar working on Molecular Biology, Biotechnology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Archana Vimal has authored 32 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Biotechnology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Archana Vimal's work include Enzyme Production and Characterization (5 papers), Synthesis and biological activity (4 papers) and Computational Drug Discovery Methods (4 papers). Archana Vimal is often cited by papers focused on Enzyme Production and Characterization (5 papers), Synthesis and biological activity (4 papers) and Computational Drug Discovery Methods (4 papers). Archana Vimal collaborates with scholars based in India, South Korea and Saudi Arabia. Archana Vimal's co-authors include Awanish Kumar, Ashwini Kumar, Dharm Pal, Poonam Sharma, Sunita Varjani, Vivek Kumar Gaur, Krishna Gautam, Alvina Farooqui, Kaiser Younis and Anubhuti Jha and has published in prestigious journals such as Bioresource Technology, Molecules and International Journal of Food Microbiology.

In The Last Decade

Archana Vimal

29 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Archana Vimal India 11 240 108 102 101 97 32 637
Alexsandra Conceição Apolinário Brazil 15 306 1.3× 100 0.9× 133 1.3× 152 1.5× 98 1.0× 29 877
Chean Ring Leong Malaysia 17 309 1.3× 132 1.2× 152 1.5× 61 0.6× 36 0.4× 50 913
Bolívar Ponciano Goulart de Lima Damasceno Brazil 17 156 0.7× 139 1.3× 196 1.9× 169 1.7× 38 0.4× 55 950
Madalena Salema‐Oom Portugal 15 327 1.4× 143 1.3× 269 2.6× 54 0.5× 47 0.5× 33 728
В. Н. Давыдова Russia 17 144 0.6× 137 1.3× 132 1.3× 115 1.1× 68 0.7× 44 806
Graziella Anselmo Joanitti Brazil 18 290 1.2× 135 1.3× 133 1.3× 72 0.7× 40 0.4× 50 900
Somayeh Hallaj‐Nezhadi Iran 17 221 0.9× 92 0.9× 143 1.4× 98 1.0× 41 0.4× 38 857
Sriwidodo Sriwidodo Indonesia 14 153 0.6× 90 0.8× 87 0.9× 100 1.0× 22 0.2× 86 628
José Luiz Lima Filho Brazil 15 274 1.1× 117 1.1× 78 0.8× 44 0.4× 178 1.8× 28 675
Bennett C. Nwanguma Nigeria 9 173 0.7× 60 0.6× 48 0.5× 83 0.8× 27 0.3× 30 613

Countries citing papers authored by Archana Vimal

Since Specialization
Citations

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

Fields of papers citing papers by Archana Vimal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Archana Vimal

This figure shows the co-authorship network connecting the top 25 collaborators of Archana Vimal. A scholar is included among the top collaborators of Archana Vimal 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 Archana Vimal. Archana Vimal 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.
Sarwar, Fatima, et al.. (2024). Small molecule inhibitors of the VEGF and tyrosine kinase for the treatment of cervical cancer. Medical Oncology. 41(8). 199–199. 4 indexed citations
2.
Vimal, Archana & Awanish Kumar. (2022). Optimized Production of Medically Significant Enzyme L-Asparaginase Under Submerged and Solid-State Fermentation From Agricultural Wastes. Current Microbiology. 79(12). 394–394. 11 indexed citations
3.
Tripathi, Swati, Mohammed Haris Siddiqui, Awanish Kumar, & Archana Vimal. (2022). Nanoparticles: a promising vehicle for the delivery of therapeutic enzymes. International nano letters.. 13(3-4). 209–221. 9 indexed citations
4.
Sharma, Poonam, Archana Vimal, Pradeep Kumar, et al.. (2022). Deciphering the blackbox of omics approaches and artificial intelligence in food waste transformation and mitigation. International Journal of Food Microbiology. 372. 109691–109691. 25 indexed citations
5.
Vimal, Archana, et al.. (2022). Inhibitory Interaction and Pharmacological Analyses of Berries Phenolics Against Listeria monocytogenes Virulent Protein Internalin B. World Journal of Traditional Chinese Medicine. 9(1). 71–80. 1 indexed citations
6.
Vimal, Archana & Awanish Kumar. (2021). l-asparaginase: Need for an Expedition from an Enzymatic Molecule to Antimicrobial Drug. International Journal of Peptide Research and Therapeutics. 28(1). 9–9. 9 indexed citations
7.
Vimal, Archana, et al.. (2021). Degradation product of curcumin restrain Salmonella typhimurium virulent protein L-asparaginase. Journal of Complementary and Integrative Medicine. 20(2). 413–424. 1 indexed citations
8.
9.
10.
Vimal, Archana & Awanish Kumar. (2020). Antimicrobial potency evaluation of free and immobilized l-asparaginase using chitosan nanoparticles. Journal of Drug Delivery Science and Technology. 61. 102231–102231. 22 indexed citations
11.
Vimal, Archana, et al.. (2019). Optimization for enhanced hydrogen production from Rhodobacter sphaeroides using response surface methodology. SN Applied Sciences. 1(2). 6 indexed citations
12.
Jha, Anubhuti, et al.. (2018). Inhibitors of CPH1-MAP Kinase Pathway: Ascertaining Potential Ligands as Multi-Target Drug Candidate in Candida albicans. International Journal of Peptide Research and Therapeutics. 25(3). 997–1010. 9 indexed citations
13.
Vimal, Archana & Awanish Kumar. (2018). l-Asparaginase: a feasible therapeutic molecule for multiple diseases. 3 Biotech. 8(6). 278–278. 18 indexed citations
14.
Vimal, Archana, et al.. (2018). Effect of acetic acid supplementation on dressing yield and intestinal microbial count in Japanese quails. Indian Journal of Poultry Science. 53(2). 160–160.
15.
Vimal, Archana & Awanish Kumar. (2017). Biotechnological production and practical application of L-asparaginase enzyme. Biotechnology and Genetic Engineering Reviews. 33(1). 40–61. 65 indexed citations
16.
Vimal, Archana, Dharm Pal, Timir Tripathi, & Awanish Kumar. (2017). Eucalyptol, sabinene and cinnamaldehyde: potent inhibitors of salmonella target protein l-asparaginase. 3 Biotech. 7(4). 258–258. 18 indexed citations
17.
Vimal, Archana & Awanish Kumar. (2016). The morpheein model of allosterism: a remedial step for targeting virulent l-asparaginase. Drug Discovery Today. 22(5). 814–822. 5 indexed citations
18.
Kumar, Ashwini, Archana Vimal, & Awanish Kumar. (2016). Why Chitosan? From properties to perspective of mucosal drug delivery. International Journal of Biological Macromolecules. 91. 615–622. 177 indexed citations
19.
Vimal, Archana & Awanish Kumar. (2016). In vitro screening and in silico validation revealed key microbes for higher production of significant therapeutic enzyme l-asparaginase. Enzyme and Microbial Technology. 98. 9–17. 32 indexed citations
20.
Kumar, Ashwini, et al.. (2016). Docking and ADMET prediction of few GSK-3 inhibitors divulges 6-bromoindirubin-3-oxime as a potential inhibitor. Journal of Molecular Graphics and Modelling. 65. 100–107. 84 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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