Hrvoje Rimac

491 total citations
32 papers, 379 citations indexed

About

Hrvoje Rimac is a scholar working on Computational Theory and Mathematics, Molecular Biology and Oncology. According to data from OpenAlex, Hrvoje Rimac has authored 32 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 11 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Hrvoje Rimac's work include Computational Drug Discovery Methods (15 papers), Protein Interaction Studies and Fluorescence Analysis (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Hrvoje Rimac is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Protein Interaction Studies and Fluorescence Analysis (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Hrvoje Rimac collaborates with scholars based in Croatia, Russia and India. Hrvoje Rimac's co-authors include Maria Grishina, Vladimir Potemkin, Mirza Bojić, Željko Debeljak, Željan Maleš, Larisa Miller, Prateek Pathak, Claire Dufour, Jurica Novak and K. Gurushankar and has published in prestigious journals such as International Journal of Molecular Sciences, Molecules and RSC Advances.

In The Last Decade

Hrvoje Rimac

31 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hrvoje Rimac Croatia 14 157 94 89 67 59 32 379
Ibrahim Olaide Adedotun Nigeria 8 171 1.1× 133 1.4× 189 2.1× 42 0.6× 55 0.9× 18 454
Guanghao Zhu China 12 225 1.4× 108 1.1× 186 2.1× 53 0.8× 87 1.5× 49 608
Durg Vijay Singh India 11 221 1.4× 110 1.2× 47 0.5× 85 1.3× 47 0.8× 31 474
Mukhtar Oluwaseun Idris China 8 227 1.4× 123 1.3× 198 2.2× 35 0.5× 31 0.5× 13 458
Mohd Haneef India 8 151 1.0× 94 1.0× 113 1.3× 33 0.5× 28 0.5× 10 374
Mi Kyoung Kim South Korea 11 198 1.3× 77 0.8× 73 0.8× 40 0.6× 22 0.4× 31 532
Iskandar Abdullah Malaysia 14 104 0.7× 129 1.4× 63 0.7× 26 0.4× 47 0.8× 27 416
Ian Whitcombe United Kingdom 11 255 1.6× 131 1.4× 49 0.6× 61 0.9× 51 0.9× 17 517
T. Ngoc Han Pham Vietnam 5 191 1.2× 88 0.9× 164 1.8× 27 0.4× 48 0.8× 8 404
Abdulrahman M. Saleh Egypt 14 169 1.1× 239 2.5× 64 0.7× 87 1.3× 26 0.4× 44 490

Countries citing papers authored by Hrvoje Rimac

Since Specialization
Citations

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

Fields of papers citing papers by Hrvoje Rimac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hrvoje Rimac

This figure shows the co-authorship network connecting the top 25 collaborators of Hrvoje Rimac. A scholar is included among the top collaborators of Hrvoje Rimac 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 Hrvoje Rimac. Hrvoje Rimac 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.
Gurushankar, K., et al.. (2023). Exploring the potential and identifying Withania somnifera alkaloids as novel dihydrofolate reductase (DHFR) inhibitors by the AlteQ method. Journal of Biomolecular Structure and Dynamics. 41(23). 13963–13976. 3 indexed citations
2.
Jakšić, Daniela, et al.. (2023). Cyclodextrin-Based Displacement Strategy of Sterigmatocystin from Serum Albumin as a Novel Approach for Acute Poisoning Detoxification. International Journal of Molecular Sciences. 24(5). 4485–4485. 1 indexed citations
3.
Grishina, Maria, et al.. (2023). AlteQ: a new complementarity principle-centered method for the evaluation of docking poses. Journal of Biomolecular Structure and Dynamics. 41(21). 12142–12156. 1 indexed citations
4.
Rimac, Hrvoje, et al.. (2023). Design, synthesis and antiplasmodial evaluation of new amide-, carbamate-, and ureido-type harmicines. Bioorganic & Medicinal Chemistry. 94. 117468–117468. 5 indexed citations
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Rimac, Hrvoje, et al.. (2022). COVID-19 infection and neurodegeneration: Computational evidence for interactions between the SARS-CoV-2 spike protein and monoamine oxidase enzymes. Computational and Structural Biotechnology Journal. 20. 1254–1263. 15 indexed citations
8.
Gurushankar, K., Hrvoje Rimac, Vladimir Potemkin, & Maria Grishina. (2021). Investigation of the newly characterized baimantuoluoamide a and baimantuoluoamide b alkaloids as potential cyclin-dependent kinase 4 (CDK4) inhibitors using molecular docking and molecular dynamics simulations. Journal of Molecular Structure. 1230. 129925–129925. 18 indexed citations
9.
Novak, Jurica, et al.. (2021). Can Natural Products Stop the SARS-CoV-2 virus? a Docking and Molecular Dynamics Study of a Natural Product Database. Future Medicinal Chemistry. 13(4). 363–378. 14 indexed citations
10.
Rimac, Hrvoje, et al.. (2021). Complementarity Principle in Terms of Electron Density for the Study of EGFR Complexes. Future Medicinal Chemistry. 13(10). 863–875. 15 indexed citations
11.
Rimac, Hrvoje, et al.. (2020). Indomethacin Increases Quercetin Affinity for Human Serum Albumin: A Combined Experimental and Computational Study and Its Broader Implications. International Journal of Molecular Sciences. 21(16). 5740–5740. 6 indexed citations
12.
Rimac, Hrvoje, et al.. (2020). Computational insights into the binding mode of curcumin analogues against EP300 HAT domain as potent acetyltransferase inhibitors. Journal of Molecular Graphics and Modelling. 101. 107756–107756. 4 indexed citations
13.
Pathak, Prateek, Hrvoje Rimac, Maria Grishina, et al.. (2020). Attenuation of hepatic and breast cancer cells by Polygonatum verticillatum embedded silver nanoparticles. Biocatalysis and Agricultural Biotechnology. 30. 101863–101863. 10 indexed citations
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Bojić, Mirza, et al.. (2019). Influence of flavonoids’ lipophilicity on platelet aggregation. Acta Pharmaceutica. 69(4). 607–619. 5 indexed citations
16.
Rimac, Hrvoje, et al.. (2019). Characterization of O-demethylations and Aromatic Hydroxylations Mediated by Cytochromes P450 in the Metabolism of Flavonoid Aglycons. Croatica Chemica Acta. 92(1). 115–123. 8 indexed citations
17.
Perković, Ivana, Marta Machado, Diana Fontinha, et al.. (2017). Primaquine hybrids as promising antimycobacterial and antimalarial agents. European Journal of Medicinal Chemistry. 143. 769–779. 33 indexed citations
18.
Rimac, Hrvoje, et al.. (2017). Warfarin and Flavonoids Do Not Share the Same Binding Region in Binding to the IIA Subdomain of Human Serum Albumin. Molecules. 22(7). 1153–1153. 39 indexed citations
19.
Rimac, Hrvoje, et al.. (2016). Citokrom P450 i metabolizam lijekova - značenje i novosti. Repozitorij Farmaceutsko-biokemijskog fakulteta (Sveučilišta u Zagrebu). 72(11). 747–760. 2 indexed citations
20.
Rimac, Hrvoje, et al.. (2015). Statini u prevenciji i liječenju zloćudnih bolesti. Repozitorij Farmaceutsko-biokemijskog fakulteta (Sveučilišta u Zagrebu). 71. 151–158.

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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