Muchtaridi Muchtaridi

4.1k total citations · 1 hit paper
206 papers, 2.8k citations indexed

About

Muchtaridi Muchtaridi is a scholar working on Plant Science, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Muchtaridi Muchtaridi has authored 206 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Plant Science, 49 papers in Molecular Biology and 41 papers in Organic Chemistry. Recurrent topics in Muchtaridi Muchtaridi's work include Natural Compound Pharmacology Studies (39 papers), Computational Drug Discovery Methods (32 papers) and Medicinal Plant Research (22 papers). Muchtaridi Muchtaridi is often cited by papers focused on Natural Compound Pharmacology Studies (39 papers), Computational Drug Discovery Methods (32 papers) and Medicinal Plant Research (22 papers). Muchtaridi Muchtaridi collaborates with scholars based in Indonesia, Malaysia and Egypt. Muchtaridi Muchtaridi's co-authors include Nasrul Wathoni, Yedi Herdiana, Shaharum Shamsuddin, I Made Joni, Amirah Mohd Gazzali, Nur Kusaira Khairul Ikram, Anas Subarnas, Ahmed Fouad Abdelwahab Mohammed, Muhammad Yusuf and Agus Rusdin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Muchtaridi Muchtaridi

182 papers receiving 2.7k citations

Hit Papers

Drug release study of the... 2021 2026 2022 2024 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Muchtaridi Muchtaridi 733 645 630 413 374 206 2.8k
Rasedee Abdullah 1.4k 2.0× 455 0.7× 652 1.0× 482 1.2× 267 0.7× 158 4.3k
Shadma Wahab 789 1.1× 463 0.7× 425 0.7× 208 0.5× 385 1.0× 195 2.8k
Mallikarjuna Rao Pichika 896 1.2× 400 0.6× 324 0.5× 180 0.4× 383 1.0× 84 3.5k
Sunil Jalalpure 553 0.8× 275 0.4× 453 0.7× 354 0.9× 262 0.7× 145 2.6k
Ruckmani Kandasamy 887 1.2× 677 1.0× 558 0.9× 726 1.8× 476 1.3× 150 3.7k
Najeh Maissar Khalil 745 1.0× 778 1.2× 425 0.7× 712 1.7× 312 0.8× 111 3.3k
Hamdoon A. Mohammed 746 1.0× 323 0.5× 641 1.0× 155 0.4× 397 1.1× 172 2.9k
Mairim Russo Serafini 698 1.0× 250 0.4× 631 1.0× 513 1.2× 201 0.5× 156 3.4k
Codruţa Şoica 992 1.4× 261 0.4× 500 0.8× 156 0.4× 263 0.7× 105 2.8k
Cristina Dehelean 1.8k 2.5× 360 0.6× 820 1.3× 246 0.6× 408 1.1× 212 4.6k

Countries citing papers authored by Muchtaridi Muchtaridi

Since Specialization
Citations

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

Fields of papers citing papers by Muchtaridi Muchtaridi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muchtaridi Muchtaridi

This figure shows the co-authorship network connecting the top 25 collaborators of Muchtaridi Muchtaridi. A scholar is included among the top collaborators of Muchtaridi Muchtaridi 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 Muchtaridi Muchtaridi. Muchtaridi Muchtaridi 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
3.
Muchtaridi, Muchtaridi, et al.. (2025). Radioiodinated bis-(α-mangostin)-cobalt (II) ([131I]I-AM-Co): Radiolabelling, in vitro and in vivo evaluation for breast cancer radiopharmaceutical. Journal of Pharmacy & Pharmacognosy Research. 13(4). 1110–1119.
7.
Muchtaridi, Muchtaridi, et al.. (2024). Synthesis and computational study of metal complex of α-mangostin as an anticancer candidate. Journal of Pharmacy & Pharmacognosy Research. 12(3). 423–438. 1 indexed citations
12.
Ikram, Nur Kusaira Khairul, et al.. (2023). Analysis of Essential Oils Components from Aromatic Plants Using Headspace Repellent Method against Aedes aegypti Mosquitoes. Molecules. 28(11). 4269–4269. 8 indexed citations
13.
Ikram, Nur Kusaira Khairul, et al.. (2023). Molecular Dynamic Simulation and 3d-pharmacophore Modeling of AlphaMangostin and Its Derivatives against Estrogen Alpha Receptor. Letters in Drug Design & Discovery. 21(6). 1103–1119. 3 indexed citations
15.
Harlina, Putri Widyanti, et al.. (2022). Possibilities of Liquid Chromatography Mass Spectrometry (LC-MS)-Based Metabolomics and Lipidomics in the Authentication of Meat Products: A Mini Review. Food Science of Animal Resources. 42(5). 744–761. 30 indexed citations
16.
Zuhrotun, Ade, et al.. (2022). Anti-Breast Cancer Activity of Essential Oil: A Systematic Review. Applied Sciences. 12(24). 12738–12738. 8 indexed citations
17.
Fristiohady, Adryan, et al.. (2022). Signaling Pathways and Natural Compounds in Triple-Negative Breast Cancer Cell Line. Molecules. 27(12). 3661–3661. 23 indexed citations
18.
Sumiwi, Sri Adi, et al.. (2022). The Effects of Antioxidants from Natural Products on Obesity, Dyslipidemia, Diabetes and Their Molecular Signaling Mechanism. International Journal of Molecular Sciences. 23(4). 2056–2056. 45 indexed citations
20.
Muchtaridi, Muchtaridi, et al.. (2020). Natural Flavonoids as Potential Angiotensin-Converting Enzyme 2 Inhibitors for Anti-SARS-CoV-2. Molecules. 25(17). 3980–3980. 90 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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