Doni Dermawan

444 total citations
30 papers, 224 citations indexed

About

Doni Dermawan is a scholar working on Computational Theory and Mathematics, Molecular Biology and Orthodontics. According to data from OpenAlex, Doni Dermawan has authored 30 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 8 papers in Molecular Biology and 4 papers in Orthodontics. Recurrent topics in Doni Dermawan's work include Computational Drug Discovery Methods (11 papers), Dental materials and restorations (4 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Doni Dermawan is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Dental materials and restorations (4 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Doni Dermawan collaborates with scholars based in Poland, Saudi Arabia and Indonesia. Doni Dermawan's co-authors include Muchtaridi Muchtaridi, Muhammad Yusuf, Muhammad Abiyyu Kenichi Purbayanto, Nasrul Wathoni, Artak Heboyan, Seyed Ali Mosaddad, Ravinder Saini, Wayne Dawson, Michał Łaźniewski and Dariusz Plewczyński and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Doni Dermawan

28 papers receiving 216 citations

Peers

Doni Dermawan
Muhanad Alhujaily Saudi Arabia
Doni Dermawan
Citations per year, relative to Doni Dermawan Doni Dermawan (= 1×) peers Muhanad Alhujaily

Countries citing papers authored by Doni Dermawan

Since Specialization
Citations

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

Fields of papers citing papers by Doni Dermawan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doni Dermawan

This figure shows the co-authorship network connecting the top 25 collaborators of Doni Dermawan. A scholar is included among the top collaborators of Doni Dermawan 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 Doni Dermawan. Doni Dermawan 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.
Alsenani, Faisal, et al.. (2025). Understanding the role of green tea and matcha consumption in cardiovascular health, obesity, and diabetes: Insights from a Saudi Arabian population. SHILAP Revista de lepidopterología. 40. 200302–200302. 1 indexed citations
5.
Dermawan, Doni, et al.. (2025). Evaluation of Structure Prediction and Molecular Docking Tools for Therapeutic Peptides in Clinical Use and Trials Targeting Coronary Artery Disease. International Journal of Molecular Sciences. 26(2). 462–462. 6 indexed citations
6.
Dermawan, Doni, et al.. (2024). Therapeutic potential of earthworm-derived proteins: Targeting NEDD4 for cardiovascular disease intervention. Journal of Applied Pharmaceutical Science. 4 indexed citations
7.
Dermawan, Doni, et al.. (2024). Leveraging Therapeutic Proteins and Peptides from Lumbricus Earthworms: Targeting SOCS2 E3 Ligase for Cardiovascular Therapy through Molecular Dynamics Simulations. International Journal of Molecular Sciences. 25(19). 10818–10818. 6 indexed citations
8.
Dermawan, Doni, et al.. (2024). Unlocking the wound-healing potential: An integrative in silico proteomics and in vivo analysis of Tacorin, a bioactive protein fraction from Ananas comosus (L.) Merr. Stem. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1873(1). 141060–141060. 4 indexed citations
9.
Dermawan, Doni, et al.. (2024). Relasi Hukum dan Kekuasaan Analisis Pemikiran Nonet Selznick. 12(1). 10–10. 1 indexed citations
11.
Saini, Ravinder, et al.. (2024). In Silico Docking of Medicinal Herbs Against P. gingivalis for Chronic Periodontitis Intervention. International Dental Journal. 75(2). 1113–1135. 1 indexed citations
13.
Saini, Ravinder, Vishwanath Gurumurthy, Abdulkhaliq Ali F. Alshadidi, et al.. (2024). Dental biomaterials redefined: molecular docking and dynamics-driven dental resin composite optimization. BMC Oral Health. 24(1). 557–557. 17 indexed citations
16.
Saini, Ravinder, Vishwanath Gurumurthy, Abdulkhaliq Ali F. Alshadidi, et al.. (2024). In silico assessment of biocompatibility and toxicity: molecular docking and dynamics simulation of PMMA-based dental materials for interim prosthetic restorations. Journal of Materials Science Materials in Medicine. 35(1). 28–28. 15 indexed citations
17.
Dermawan, Doni & Muhammad Abiyyu Kenichi Purbayanto. (2022). An overview of advancements in closed-loop artificial pancreas system. Heliyon. 8(11). e11648–e11648. 16 indexed citations
19.
Dermawan, Doni, et al.. (2021). In silico study of medicinal plants with cyclodextrin inclusion complex as the potential inhibitors against SARS-CoV-2 main protease (Mpro) and spike (S) receptor. Informatics in Medicine Unlocked. 25. 100645–100645. 19 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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