Melva Louisa

1.3k total citations
128 papers, 953 citations indexed

About

Melva Louisa is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Melva Louisa has authored 128 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 27 papers in Oncology and 15 papers in Pathology and Forensic Medicine. Recurrent topics in Melva Louisa's work include Drug Transport and Resistance Mechanisms (15 papers), Curcumin's Biomedical Applications (12 papers) and Pharmacological Effects and Toxicity Studies (11 papers). Melva Louisa is often cited by papers focused on Drug Transport and Resistance Mechanisms (15 papers), Curcumin's Biomedical Applications (12 papers) and Pharmacological Effects and Toxicity Studies (11 papers). Melva Louisa collaborates with scholars based in Indonesia, Japan and United Kingdom. Melva Louisa's co-authors include Wawaimuli Arozal, Vivian Soetikno, Rianto Setiabudy, Septelia Inawati Wanandi, Deni Rahmat, Mitsuyasu Kato, Franciscus D. Suyatna, L Gilbert, Yukihide Watanabe and Din Syafruddin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Melva Louisa

114 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melva Louisa Indonesia 18 270 165 139 125 116 128 953
Somaiya Mateen India 14 410 1.5× 131 0.8× 100 0.7× 181 1.4× 32 0.3× 17 1.4k
Salman Ahmed Pakistan 18 599 2.2× 210 1.3× 104 0.7× 108 0.9× 44 0.4× 116 1.6k
Anna L. Greenshields Canada 16 550 2.0× 159 1.0× 53 0.4× 167 1.3× 161 1.4× 41 1.2k
Erika Roat Italy 19 754 2.8× 133 0.8× 78 0.6× 70 0.6× 96 0.8× 26 1.6k
Elham Abdollahi Iran 20 564 2.1× 161 1.0× 75 0.5× 51 0.4× 305 2.6× 43 1.4k
Steven J. Melnick United States 20 626 2.3× 142 0.9× 76 0.5× 129 1.0× 198 1.7× 52 1.6k
Kamil Biringer Slovakia 23 517 1.9× 157 1.0× 45 0.3× 56 0.4× 42 0.4× 69 1.4k
Kwang-Kyun Park South Korea 25 958 3.5× 261 1.6× 61 0.4× 225 1.8× 69 0.6× 49 1.6k
Venkatesh Pooladanda India 19 380 1.4× 100 0.6× 36 0.3× 74 0.6× 71 0.6× 32 1.6k
Mohd Suhail Saudi Arabia 21 385 1.4× 98 0.6× 25 0.2× 76 0.6× 64 0.6× 62 1.2k

Countries citing papers authored by Melva Louisa

Since Specialization
Citations

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

Fields of papers citing papers by Melva Louisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melva Louisa

This figure shows the co-authorship network connecting the top 25 collaborators of Melva Louisa. A scholar is included among the top collaborators of Melva Louisa 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 Melva Louisa. Melva Louisa 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.
Louisa, Melva, et al.. (2025). Moringa oleifera Leaf Extract Improves Cognitive Function in Rat Offspring Born to Protein-Deficient Mothers. Biomedicines. 13(2). 346–346. 1 indexed citations
4.
Louisa, Melva, et al.. (2023). 6-gingerol ameliorates weight gain and insulin resistance in metabolic syndrome rats by regulating adipocytokines. Saudi Pharmaceutical Journal. 31(3). 351–358. 13 indexed citations
5.
Wanandi, Septelia Inawati, et al.. (2023). Andrographolide Reverses Doxorubicin Resistance in Human Breast Cancer Stem Cells by Regulating Apoptotic Gene Expressions. The Indonesian Biomedical Journal. 15(5). 288–96. 1 indexed citations
6.
Harris, Salim, Alida Harahap, Herqutanto Herqutanto, et al.. (2023). Correlation P2Y12 Genetic Polymorphism As Risk Factor of Clopidogrel Resistance in Indonesian Stroke Patients. Vascular Health and Risk Management. Volume 19. 53–61. 1 indexed citations
7.
Harris, Salim, Alida Harahap, Herqutanto Herqutanto, et al.. (2023). The stent thrombosis in Belgium (STIB) scoring system reliability in Indonesia patients and the modified STIB scoring (M-STIB). The Egyptian Journal of Neurology Psychiatry and Neurosurgery. 59(1). 1 indexed citations
8.
Louisa, Melva, et al.. (2023). Acute exacerbation of idiopathic pulmonary fibrosis model in the rats using bleomycin and lipopolysaccharides. Journal of Advanced Veterinary and Animal Research. 10(2). 196–196. 8 indexed citations
9.
Setiabudy, Rianto, et al.. (2022). Multidrug Resistance-1 C3435T Polymorphism and Carbamazepine PlasmaLevel in Indonesian Temporal Lobe Epilepsy Patients. Current Drug Safety. 18(1). 62–68. 1 indexed citations
10.
Tarigan, Tri Juli Edi, et al.. (2022). Hematological indices and their correlation with glucose control parameters in a prediabetic rat model. Veterinary World. 15(3). 672–678. 6 indexed citations
11.
Louisa, Melva, et al.. (2021). Potential pharmacological options and new avenues using inhaled curcumin nanoformulations for treatment of post-COVID-19 Fibrosis. Systematic Reviews in Pharmacy. 12(1). 1119–1128. 3 indexed citations
12.
13.
Watanabe, Yasuhiro, et al.. (2020). TGF-β-Induced TMEPAI Attenuates the Response of Triple-Negative Breast Cancer Cells to Doxorubicin and Paclitaxel. SHILAP Revista de lepidopterología.
14.
Soetikno, Vivian, et al.. (2020). Alpha-Mangostin Improves Cardiac Hypertrophy and Fibrosis and Associated Biochemical Parameters in High-Fat/High-Glucose Diet and Low-Dose Streptozotocin Injection-Induced Type 2 Diabetic Rats. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Wanandi, Septelia Inawati, et al.. (2020). In silico and in vitro studies on the anti-cancer activity of andrographolide targeting survivin in human breast cancer stem cells. PLoS ONE. 15(11). e0240020–e0240020. 23 indexed citations
16.
Louisa, Melva, et al.. (2019). Hematotoxicity in acute lymphoblastic leukemia children who received 6-Mercaptopurine during maintenance therapy in Indonesia. Journal of international dental and medical research. 12(3). 1154–1161. 3 indexed citations
17.
Louisa, Melva, et al.. (2019). The effect of Mahkota Dewa (Phaleria macrocarpa L.) leaf extract encapsulated in chitosan nanoparticles on inos and COX-2 expression in dextran sodium sulphate-induced colitis mice model. Journal of international dental and medical research. 12(1). 220–227. 2 indexed citations
18.
Louisa, Melva, et al.. (2017). Berbagai Manfaat Vitamin D. Cermin Dunia Kedokteran. 44(10). 736–740. 3 indexed citations
19.
Louisa, Melva, et al.. (2014). in vitro Modulation of P-glycoprotein, MRP-1 and BCRP Expression by Mangiferin in Doxorubicin-Treated MCF-7 Cells. Asian Pacific Journal of Cancer Prevention. 15(4). 1639–1642. 55 indexed citations
20.
Setiabudy, Rianto, et al.. (2013). Lack of a relationship between the serum concentration of aminoglycosides and ototoxicity in neonates. International Journal of Clinical Pharmacology and Therapeutics. 51(5). 401–406. 17 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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