Daniel Duda-Seiman

809 total citations · 1 hit paper
22 papers, 558 citations indexed

About

Daniel Duda-Seiman is a scholar working on Computational Theory and Mathematics, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Daniel Duda-Seiman has authored 22 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 7 papers in Molecular Biology and 6 papers in Organic Chemistry. Recurrent topics in Daniel Duda-Seiman's work include Computational Drug Discovery Methods (9 papers), Nanocomposite Films for Food Packaging (3 papers) and Chemical Synthesis and Analysis (2 papers). Daniel Duda-Seiman is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Nanocomposite Films for Food Packaging (3 papers) and Chemical Synthesis and Analysis (2 papers). Daniel Duda-Seiman collaborates with scholars based in Romania and Austria. Daniel Duda-Seiman's co-authors include Narcis Duţeanu, Petru Negrea, Nicoleta Sorina Nemeş, Mihaela Ciopec, Adina Negrea, Corneliu Mircea Davidescu, Cristina Ardean, Virgil Musta, Speranța Avram and Florin Borcan and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Polymers.

In The Last Decade

Daniel Duda-Seiman

20 papers receiving 552 citations

Hit Papers

Factors Influencing the Antibacterial Activity of Chitosa... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Duda-Seiman Romania 10 264 143 96 80 63 22 558
Mohammed O. Balogun South Africa 15 135 0.5× 125 0.9× 103 1.1× 54 0.7× 72 1.1× 40 508
Oana Maria Dragostin Romania 10 256 1.0× 163 1.1× 68 0.7× 59 0.7× 58 0.9× 29 533
Maria Drăgan Romania 10 279 1.1× 100 0.7× 46 0.5× 60 0.8× 115 1.8× 24 566
Mukesh Doble India 16 178 0.7× 78 0.5× 163 1.7× 81 1.0× 154 2.4× 46 645
Ahmed A. F. Soliman Egypt 21 168 0.6× 214 1.5× 140 1.5× 320 4.0× 132 2.1× 75 1.0k
O. V. Volkova Russia 12 222 0.8× 158 1.1× 86 0.9× 116 1.4× 44 0.7× 40 462
Hanaa Y. Ahmed Egypt 15 115 0.4× 197 1.4× 177 1.8× 69 0.9× 133 2.1× 28 603
Aleh V. Kurliuk Belarus 13 247 0.9× 179 1.3× 77 0.8× 126 1.6× 44 0.7× 19 453
Tatsiana V. Shakola Belarus 12 218 0.8× 170 1.2× 69 0.7× 106 1.3× 40 0.6× 15 399
G. Usha Rani India 10 119 0.5× 70 0.5× 38 0.4× 44 0.6× 73 1.2× 13 462

Countries citing papers authored by Daniel Duda-Seiman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Duda-Seiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Duda-Seiman. 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 Daniel Duda-Seiman. The network helps show where Daniel Duda-Seiman may publish in the future.

Co-authorship network of co-authors of Daniel Duda-Seiman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Duda-Seiman. A scholar is included among the top collaborators of Daniel Duda-Seiman 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 Daniel Duda-Seiman. Daniel Duda-Seiman 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
2.
Negrea, Adina, Nicoleta Sorina Nemeş, Cătălin Ianăşi, et al.. (2022). Antimicrobial Perspectives of Active SiO2FexOy/ZnO Composites. Pharmaceutics. 14(10). 2063–2063. 11 indexed citations
3.
Duda-Seiman, Daniel, et al.. (2022). COVID-19 Related Myocarditis and Myositis in a Patient with Undiagnosed Antisynthetase Syndrome. Biomedicines. 11(1). 95–95. 6 indexed citations
4.
Sharma, Abhinav, et al.. (2022). Cardiovascular Risk Prediction Parameters for Better Management in Rheumatic Diseases. Healthcare. 10(2). 312–312. 8 indexed citations
5.
Nemeş, Nicoleta Sorina, Cristina Ardean, Corneliu Mircea Davidescu, et al.. (2022). Antimicrobial Activity of Cellulose Based Materials. Polymers. 14(4). 735–735. 37 indexed citations
6.
Ardean, Cristina, Corneliu Mircea Davidescu, Nicoleta Sorina Nemeş, et al.. (2021). Factors Influencing the Antibacterial Activity of Chitosan and Chitosan Modified by Functionalization. International Journal of Molecular Sciences. 22(14). 7449–7449. 351 indexed citations breakdown →
7.
Ardean, Cristina, Corneliu Mircea Davidescu, Nicoleta Sorina Nemeş, et al.. (2021). Antimicrobial Activities of Chitosan Derivatives. Pharmaceutics. 13(10). 1639–1639. 25 indexed citations
8.
Drăgan, Simona, et al.. (2019). Study Upon the Serum Level of Uric Acid and the Metabolic Syndrome Components. Revista de Chimie. 70(3). 1062–1066. 1 indexed citations
9.
Avram, Speranța, Ana-Maria Udrea, Adina Negrea, et al.. (2019). Prevention of Deficit in Neuropsychiatric Disorders through Monitoring of Arsenic and Its Derivatives as Well as Through Bioinformatics and Cheminformatics. International Journal of Molecular Sciences. 20(8). 1804–1804. 7 indexed citations
10.
Buiu, Cătălin, et al.. (2015). More Effective DPP4 Inhibitors as Antidiabetics Based on Sitagliptin Applied QSAR and Clinical Methods. Current Computer - Aided Drug Design. 10(3). 237–249.
11.
Duda-Seiman, Daniel, et al.. (2015). Calcium Channel Blockers – Benefits Upon Vascular Biology in Hypertensive Patients. Cardiovascular & Hematological Agents in Medicinal Chemistry. 13(1). 54–62. 3 indexed citations
12.
Mernea, Maria, et al.. (2013). Advanced QSAR Methods Evaluated Polycyclic Aromatic Compounds Duality as Drugs and Inductors in Psychiatric Disorders. Current Organic Chemistry. 17(23). 2880–2890. 7 indexed citations
13.
Avram, Speranța, et al.. (2012). Evaluation of the Pharmacological Descriptors Related to the Induction of Antidepressant Activity and its Prediction by QSAR/QRAR Methods. Mini-Reviews in Medicinal Chemistry. 12(6). 467–476. 14 indexed citations
14.
Duda-Seiman, Daniel, et al.. (2011). MTD-comsia modelling of HMG-CoA reductase inhibitors. Journal of the Serbian Chemical Society. 76(1). 85–99. 4 indexed citations
15.
Avram, Speranța, Daniel Duda-Seiman, Florin Borcan, & Peter Wolschann. (2011). QSAR-CoMSIA applied to antipsychotic drugs with their dopamine D2 and serotonine 5HT2A membrane receptors. Journal of the Serbian Chemical Society. 76(2). 263–281. 10 indexed citations
16.
Vlase, Titus, et al.. (2011). Thermal analysis study of amlodipine as pure compound and in binary mixture. Journal of Thermal Analysis and Calorimetry. 105(2). 677–683. 13 indexed citations
17.
Avram, Speranța, et al.. (2011). QSAR-CoMSIA applied to antipsychotic drugs with their dopamine D-2 and serotonine 5HT(2A) membrane receptors. SHILAP Revista de lepidopterología. 76(2). 263–281. 1 indexed citations
18.
Avram, Speranța, et al.. (2010). Evaluation of Antimicrobial Activity of New Mastoparan Derivatives Using QSAR and Computational Mutagenesis. International Journal of Peptide Research and Therapeutics. 17(1). 7–17. 15 indexed citations
19.
Duda-Seiman, Daniel, et al.. (2007). QSAR MODELLING OF ANTI-HIV ACTIVITY WITH HEPT DERIVATIVES. Biochimie. 55(11). 1481–9. 5 indexed citations
20.
Duda-Seiman, Daniel, et al.. (2006). Design of Anti-HIV Ligands by Means of Minimal Topological Difference (MTD) Method. International Journal of Molecular Sciences. 7(11). 537–555. 10 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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