Muhammad Arba

433 total citations
58 papers, 305 citations indexed

About

Muhammad Arba is a scholar working on Molecular Biology, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Muhammad Arba has authored 58 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 19 papers in Computational Theory and Mathematics and 10 papers in Plant Science. Recurrent topics in Muhammad Arba's work include Computational Drug Discovery Methods (19 papers), Medicinal Plant Research (9 papers) and Hepatitis C virus research (4 papers). Muhammad Arba is often cited by papers focused on Computational Drug Discovery Methods (19 papers), Medicinal Plant Research (9 papers) and Hepatitis C virus research (4 papers). Muhammad Arba collaborates with scholars based in Indonesia, United States and Australia. Muhammad Arba's co-authors include Daryono Hadi Tjahjono, Chun Wu, Rahmana Emran Kartasasmita, Muhammad Sulaiman Zubair, Ruslin Ruslin, Ramadhanil Pitopang, Maywan Hariono, Resmi Mustarichie, Kaharuddin Kaharuddin and Suryani Suryani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Physics Letters and Molecules.

In The Last Decade

Muhammad Arba

52 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Arba Indonesia 10 129 86 50 49 32 58 305
Srikanth Jupudi India 11 138 1.1× 108 1.3× 30 0.6× 82 1.7× 25 0.8× 48 343
Anisha Jain India 13 98 0.8× 109 1.3× 38 0.8× 69 1.4× 40 1.3× 32 430
Mohammad Haris Siddiqui India 8 207 1.6× 174 2.0× 51 1.0× 69 1.4× 33 1.0× 20 432
T. Ngoc Han Pham Vietnam 5 191 1.5× 164 1.9× 31 0.6× 88 1.8× 27 0.8× 8 404
Ziyad Tariq Muhseen China 10 142 1.1× 90 1.0× 29 0.6× 32 0.7× 27 0.8× 28 318
Kamonpan Sanachai Thailand 10 128 1.0× 74 0.9× 19 0.4× 76 1.6× 51 1.6× 34 306
Iqra Ali Pakistan 9 103 0.8× 71 0.8× 29 0.6× 71 1.4× 20 0.6× 23 322
Ahmad Alzamami Saudi Arabia 12 158 1.2× 67 0.8× 24 0.5× 83 1.7× 40 1.3× 24 347
Pedro Fong Macao 10 152 1.2× 55 0.6× 34 0.7× 30 0.6× 25 0.8× 24 334
Ravi Rawat India 11 103 0.8× 81 0.9× 27 0.5× 127 2.6× 24 0.8× 40 310

Countries citing papers authored by Muhammad Arba

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Arba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Arba

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Arba. A scholar is included among the top collaborators of Muhammad Arba 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 Muhammad Arba. Muhammad Arba 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.
Arba, Muhammad, et al.. (2025). Network Pharmacology-Based Prediction of the Mechanism of Anti-Hepatitis C Virus of Kleinhovia Hospita L. Tropical Journal of Natural Product Research. 9(9).
3.
Arba, Muhammad, et al.. (2024). Computational study of binding of oseltamivir to neuraminidase mutants of influenza A virus. Journal of Applied Pharmaceutical Science. 1 indexed citations
4.
Arba, Muhammad, et al.. (2023). The application of medicinal plants in the local community of Gantara Forest, Southeast Sulawesi, Indonesia. Biodiversitas Journal of Biological Diversity. 23(12). 1 indexed citations
5.
Arba, Muhammad, et al.. (2023). The Potential of <i>Clerodendrum paniculatum</i> Leaves Fraction as a 3-Chymotrypsin-Like (3CL) Protease Inhibitor of SARS-CoV-2. Indonesian Journal of Chemistry. 23(3). 770–770. 1 indexed citations
6.
Arba, Muhammad, et al.. (2023). Computational insights into the binding of pimodivir to the mutated PB2 subunit of the influenza A virus. Molecular Simulation. 49(10). 1031–1043. 1 indexed citations
7.
Arba, Muhammad, et al.. (2022). THE POTENTIAL OF LANGIR (ALBIZIA SAPONARIA LOUR.) STEM BARK AS ANTI-DANDRUFF: IN SILICO AND IN VITRO STUDIES. International Journal of Applied Pharmaceutics. 154–161.
8.
Ruslin, Ruslin, et al.. (2022). The Search for Cyclooxygenase-2 (COX-2) Inhibitors for the Treatment of Inflammation Disease: An in-silico Study. Journal of Multidisciplinary Healthcare. Volume 15. 783–791. 8 indexed citations
10.
Arba, Muhammad, et al.. (2020). In silico exploration for aldose reductase (AR) inhibitors. Letters in Applied NanoBioScience. 9(2). 956–960. 5 indexed citations
11.
Arba, Muhammad, et al.. (2020). Identification of potential inhibitors for Bruton’s Tyrosine Kinase (BTK) based on pharmacophore-based virtual screening. Biointerface Research in Applied Chemistry. 10(3). 5472–5477. 1 indexed citations
12.
Arba, Muhammad, et al.. (2020). The search for peptide deformylase inhibitor from Indonesian Medicinal Plant Database: an in-silico investigation. Biointerface Research in Applied Chemistry. 10(2). 5117–5121. 3 indexed citations
13.
Arba, Muhammad, et al.. (2020). Mechanistic insight on the remdesivir binding to RNA-Dependent RNA polymerase (RdRp) of SARS-cov-2. Computers in Biology and Medicine. 129. 104156–104156. 31 indexed citations
14.
Arba, Muhammad, et al.. (2020). Kedudukan Hukum Perempuan Dalam Perolehan Hak Milik Atas Tanah. 5(2). 259–266. 2 indexed citations
15.
Arba, Muhammad, et al.. (2018). Molecular modeling of 4-fluoropyrrolidine-2-carbonitrile and octahydrocyclopenta[b]pyrrole-2-carbonitrile as a dipeptidyl peptidase IV (DPP4) inhibitor. Journal of Applied Pharmaceutical Science. 8(10). 1–7. 1 indexed citations
16.
Arba, Muhammad, et al.. (2018). Insight into the Interaction of Cationic Porphyrin-Anthraquinone Hybrids with Hsp90: In Silico Analysis. Journal of Mathematical and Fundamental Sciences. 50(3). 303–314. 5 indexed citations
17.
Arba, Muhammad, et al.. (2018). Molecular modeling on porphyrin derivatives as β5 subunit inhibitor of 20S proteasome. Computational Biology and Chemistry. 74. 230–238. 2 indexed citations
18.
Arba, Muhammad, et al.. (2016). In silico study of porphyrin-anthraquinone hybrids as CDK2 inhibitor. Computational Biology and Chemistry. 67. 9–14. 21 indexed citations
19.
Arba, Muhammad, Rahmana Emran Kartasasmita, & Daryono Hadi Tjahjono. (2015). Molecular docking and dynamics simulations on the interaction of cationic porphyrin–anthraquinone hybrids with DNA G-quadruplexes. Journal of Biomolecular Structure and Dynamics. 34(2). 427–438. 23 indexed citations
20.
Arba, Muhammad & Daryono Hadi Tjahjono. (2014). The binding modes of cationic porphyrin-anthraquinone hybrids to DNA duplexes:in silicostudy. Journal of Biomolecular Structure and Dynamics. 33(3). 657–665. 18 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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