Marjana Novič

3.9k total citations
145 papers, 3.0k citations indexed

About

Marjana Novič is a scholar working on Computational Theory and Mathematics, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Marjana Novič has authored 145 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computational Theory and Mathematics, 50 papers in Molecular Biology and 31 papers in Organic Chemistry. Recurrent topics in Marjana Novič's work include Computational Drug Discovery Methods (54 papers), Analytical Chemistry and Chromatography (21 papers) and Spectroscopy and Chemometric Analyses (18 papers). Marjana Novič is often cited by papers focused on Computational Drug Discovery Methods (54 papers), Analytical Chemistry and Chromatography (21 papers) and Spectroscopy and Chemometric Analyses (18 papers). Marjana Novič collaborates with scholars based in Slovenia, Italy and Croatia. Marjana Novič's co-authors include Jure Zupan, Milan Randić, Marjan Vračko, Itziar Ruisánchez, Natalja Fjodorova, Nikola Minovski, Dejan Plavšić, Viktor Drgan, Emilio Benfenati and Thomas R. Ward and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Analytical Chemistry.

In The Last Decade

Marjana Novič

142 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marjana Novič Slovenia 29 1.0k 918 575 515 472 145 3.0k
Knut Baumann Germany 37 1.3k 1.2× 1.1k 1.2× 742 1.3× 476 0.9× 342 0.7× 83 3.4k
Kimito Funatsu Japan 36 1.1k 1.1× 1.6k 1.8× 402 0.7× 830 1.6× 566 1.2× 229 4.3k
Andrea Mauri Italy 14 885 0.9× 1.2k 1.3× 581 1.0× 253 0.5× 442 0.9× 31 2.6k
Joanna Jaworska Poland 30 1.0k 1.0× 2.0k 2.2× 607 1.1× 218 0.4× 400 0.8× 76 4.7k
Ester Papa Italy 33 939 0.9× 2.2k 2.4× 827 1.4× 315 0.6× 423 0.9× 79 3.9k
Mancang Liu China 31 409 0.4× 692 0.8× 410 0.7× 715 1.4× 660 1.4× 108 2.6k
Mehdi Jalali‐Heravi Iran 37 803 0.8× 717 0.8× 609 1.1× 1.2k 2.3× 1.2k 2.5× 107 3.5k
Botao Fan China 25 538 0.5× 737 0.8× 530 0.9× 300 0.6× 422 0.9× 78 1.9k
Grace Patlewicz United States 46 1.2k 1.1× 2.5k 2.7× 617 1.1× 166 0.3× 326 0.7× 172 7.7k
Shu‐Shen Liu China 34 631 0.6× 857 0.9× 360 0.6× 344 0.7× 439 0.9× 192 3.8k

Countries citing papers authored by Marjana Novič

Since Specialization
Citations

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

Fields of papers citing papers by Marjana Novič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marjana Novič

This figure shows the co-authorship network connecting the top 25 collaborators of Marjana Novič. A scholar is included among the top collaborators of Marjana Novič 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 Marjana Novič. Marjana Novič 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.
Drgan, Viktor, et al.. (2024). Merging Counter-Propagation and Back-Propagation Algorithms: Overcoming the Limitations of Counter-Propagation Neural Network Models. International Journal of Molecular Sciences. 25(8). 4156–4156. 1 indexed citations
2.
Fjodorova, Natalja, Marjana Novič, Bakhtiyor Rasulev, et al.. (2023). Cheminformatics and Machine Learning Approaches to Assess Aquatic Toxicity Profiles of Fullerene Derivatives. International Journal of Molecular Sciences. 24(18). 14160–14160. 4 indexed citations
3.
Fjodorova, Natalja, et al.. (2020). A Comprehensive Cheminformatics Analysis of Structural Features Affecting the Binding Activity of Fullerene Derivatives. Nanomaterials. 10(1). 90–90. 11 indexed citations
4.
5.
Tomašič, Tihomir, et al.. (2018). Application of fragment based virtual screening towards inhibition of bacterial N- acetyglucosaminidase $. SAR and QSAR in environmental research. 29(9). 647–660. 2 indexed citations
6.
Novič, Marjana, et al.. (2015). Chemometric characterisation of the quality of ground waters from different wells in Slovenia. University of Maribor digital library (University of Maribor). 6 indexed citations
7.
Minovski, Nikola, Marjana Novič, & Tom Šolmajer. (2015). The impact of Mycobacterium tuberculosis gyrB point mutations on 6-fluoroquinolones resistance profile: in silico mutagenesis and structure-based assessment. RSC Advances. 5(21). 16162–16172. 2 indexed citations
8.
Novič, Marjana, et al.. (2013). Prediction of antiprion activity of therapeutic agents with structure–activity models. Molecular Diversity. 18(1). 133–148. 11 indexed citations
9.
Saçan, Melek Türker, et al.. (2012). Quantitative structure–activity relationships (QSARs) using the novel marine algal toxicity data of phenols. Journal of Molecular Graphics and Modelling. 38. 90–100. 35 indexed citations
10.
Minovski, Nikola, Andrej Perdih, Marjana Novič, & Tom Šolmajer. (2012). Cluster‐based molecular docking study for in silico identification of novel 6‐fluoroquinolones as potential inhibitors against Mycobacterium tuberculosis. Journal of Computational Chemistry. 34(9). 790–801. 17 indexed citations
11.
Kuzmanovski, Igor, Damien Habrant, Stéphane Meunier, et al.. (2011). Design and Synthesis of New Antioxidants Predicted by the Model Developed on a Set of Pulvinic Acid Derivatives. Journal of Chemical Information and Modeling. 51(12). 3050–3059. 12 indexed citations
12.
Prevolnik, M., Marjeta Čandek‐Potokar, Marjana Novič, & Dejan Škorjanc. (2009). An attempt to predict pork drip loss from pH and colour measurements or near infrared spectra using artificial neural networks. Meat Science. 83(3). 405–411. 35 indexed citations
13.
Jezierska, Aneta, Marjana Novič, & Jarosław J. Panek. (2009). The Nature of Hydrogen Bonding in Selected Hydrazide Derivatives Investigated via Static Models and Car-Parrinello Molecular Dynamics. Polish Journal of Chemistry. 83(5). 799–819. 3 indexed citations
14.
Drgan, Viktor, et al.. (2008). Hard modeling of ion chromatography separations on hydroxide-selective stationary phase. Journal of Chromatography A. 1185(1). 109–116. 3 indexed citations
15.
Novič, Marjana & Milan Randić. (2008). Representation of proteins as walks in 20-D space. SAR and QSAR in environmental research. 19(3-4). 317–337. 30 indexed citations
16.
Grošelj, Neva, G. van der Veer, Marjan Tušar, Marjan Vračko, & Marjana Novič. (2008). Verification of the geological origin of bottled mineral water using artificial neural networks. Food Chemistry. 118(4). 941–947. 26 indexed citations
17.
Erić, Slavica, Tomaž Šolmajer, Jure Zupan, et al.. (2004). Quantitative structure?activity relationships of a 1 adrenergic antagonists. Journal of Molecular Modeling. 10(2). 139–150. 6 indexed citations
18.
Novič, Marjana, Marjana Novič, Jure Zupan, Milko Novič, & Milko Novič. (2001). Computer simulation of ion chromatography separation: an algorithm enabling continuous monitoring of anion distribution on an ion-exchange chromatography column. Journal of Chromatography A. 922(1-2). 1–11. 11 indexed citations
19.
Randić, Milan, Subhash C. Basak, Matevž Pompe, & Marjana Novič. (2001). Prediction of gas chromatographic retention indices using variable connectivity index. Acta chimica slovenica. 48(2). 169–180. 6 indexed citations
20.
Novič, Milko, Milko Novič, Marjana Novič, et al.. (1997). Simultaneous determination of iron(II) and iron(III) by flow injection analysis A mathematical simulation of the detector response. Analytica Chimica Acta. 348(1-3). 101–111. 6 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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