Sanja Tomić

2.5k total citations
115 papers, 2.0k citations indexed

About

Sanja Tomić is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Sanja Tomić has authored 115 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 29 papers in Oncology and 26 papers in Organic Chemistry. Recurrent topics in Sanja Tomić's work include Peptidase Inhibition and Analysis (28 papers), Neuropeptides and Animal Physiology (23 papers) and DNA and Nucleic Acid Chemistry (16 papers). Sanja Tomić is often cited by papers focused on Peptidase Inhibition and Analysis (28 papers), Neuropeptides and Animal Physiology (23 papers) and DNA and Nucleic Acid Chemistry (16 papers). Sanja Tomić collaborates with scholars based in Croatia, Germany and Austria. Sanja Tomić's co-authors include Mile Šikić, Kristian Vlahoviček, Ivan Dokmanić, Rebecca C. Wade, Branimir Bertoša, Ivo Piantanida, Biserka Kojić‐Prodić, Marijeta Kralj, B. Kojić-Prodić and Razif R. Gabdoulline and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sanja Tomić

112 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanja Tomić Croatia 25 1.3k 525 348 301 212 115 2.0k
Jarosław Poznański Poland 28 1.5k 1.2× 339 0.6× 200 0.6× 270 0.9× 241 1.1× 145 2.4k
Morten Grøtli Sweden 32 1.9k 1.5× 1.2k 2.4× 163 0.5× 462 1.5× 114 0.5× 129 3.1k
Julian E. Fuchs Austria 32 1.4k 1.1× 687 1.3× 274 0.8× 256 0.9× 299 1.4× 92 2.5k
Kengo Okada Japan 22 2.2k 1.7× 318 0.6× 151 0.4× 576 1.9× 125 0.6× 43 3.0k
Houchao Tao China 16 1.3k 1.1× 644 1.2× 371 1.1× 80 0.3× 76 0.4× 46 2.0k
Mikael Peräkylä Finland 28 980 0.8× 497 0.9× 111 0.3× 237 0.8× 185 0.9× 79 2.0k
William M. Atkins United States 32 2.4k 1.9× 262 0.5× 772 2.2× 277 0.9× 325 1.5× 107 3.9k
Ángeles Canales Spain 30 1.5k 1.2× 733 1.4× 279 0.8× 170 0.6× 47 0.2× 88 2.4k
Zsolt Böcskei Hungary 18 704 0.6× 550 1.0× 394 1.1× 197 0.7× 82 0.4× 69 1.8k
Bidisha Sengupta India 26 1.5k 1.2× 436 0.8× 306 0.9× 874 2.9× 59 0.3× 69 2.6k

Countries citing papers authored by Sanja Tomić

Since Specialization
Citations

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

Fields of papers citing papers by Sanja Tomić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanja Tomić

This figure shows the co-authorship network connecting the top 25 collaborators of Sanja Tomić. A scholar is included among the top collaborators of Sanja Tomić 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 Sanja Tomić. Sanja Tomić 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.
Tomić, Sanja, et al.. (2023). Influence of Mutations of Conserved Arginines on Neuropeptide Binding in the DPP III Active Site. Molecules. 28(4). 1976–1976.
2.
Agić, Dejan, Maja Karnaš, Sanja Tomić, et al.. (2022). Experimental and computational evaluation of dipeptidyl peptidase III inhibitors based on quinazolinone-Schiff’s bases. Journal of Biomolecular Structure and Dynamics. 41(16). 7567–7581. 1 indexed citations
3.
Ferger, Matthias, Željka Ban, Sanja Tomić, et al.. (2021). Bis(phenylethynyl)arene Linkers in Tetracationic Bis‐triarylborane Chromophores Control Fluorimetric and Raman Sensing of Various DNAs and RNAs. Chemistry - A European Journal. 27(16). 5142–5159. 18 indexed citations
4.
Ban, Željka, et al.. (2021). Triarylborane Dyes as a Novel Non-Covalent and Non-Inhibitive Fluorimetric Markers for DPP III Enzyme. Molecules. 26(16). 4816–4816. 6 indexed citations
5.
Ban, Željka, Stefanie Griesbeck, Sanja Tomić, et al.. (2019). A Quadrupolar Bis‐Triarylborane Chromophore as a Fluorimetric and Chirooptic Probe for Simultaneous and Selective Sensing of DNA, RNA and Proteins. Chemistry - A European Journal. 26(10). 2195–2203. 30 indexed citations
6.
7.
Car, Željka, et al.. (2017). In vitro antiproliferative study of novel adamantyl pyridin-4-ones. Molecular Diversity. 21(4). 881–891. 4 indexed citations
8.
Wade, Rebecca C., et al.. (2016). Human DPP III – Keap1 Interactions: A Combined Experimental And Computational Study. Croatica Chemica Acta. 89(2). 8 indexed citations
9.
Brkić, Hrvoje, Borislav Kovačević, & Sanja Tomić. (2015). Human 3-hydroxyanthranilate 3,4-dioxygenase (3HAO) dynamics and reaction, a multilevel computational study. Molecular BioSystems. 11(3). 898–907. 9 indexed citations
10.
Wade, Rebecca C., et al.. (2015). Molecular simulations reveal that the long range fluctuations of human DPP III change upon ligand binding. Molecular BioSystems. 11(11). 3068–3080. 20 indexed citations
11.
Tomić, Sanja, et al.. (2014). Computational study of the structural plasticity and the ligand binding affinity of the IRES subdomain IIa. Molecular BioSystems. 10(12). 3272–3279. 3 indexed citations
12.
Weygand-Đurašević, Ivana, et al.. (2014). A single amino acid substitution affects the substrate specificity of the seryl-tRNA synthetase homologue. Molecular BioSystems. 10(12). 3207–3216. 7 indexed citations
13.
Tomić, Sanja, et al.. (2013). The bis-phenanthridinium system flexibility and position of covalently bound uracil finely tunes the interaction with polynucleotides. Molecular BioSystems. 9(8). 2051–2062. 8 indexed citations
14.
Tomić, Sanja, et al.. (2013). Importance of the three basic residues in the vicinity of the zinc-binding motifs for the activity of the yeast dipeptidyl peptidase III. The Journal of Biochemistry. 155(1). 43–50. 3 indexed citations
15.
Tomić, Sanja, et al.. (2001). Enantioselectivity of Pseudomonas cepacia Lipase towards 2-Methyl-3(or 4)-arylalkanols: An Approach Based on the Stereoelectronic Theory and Molecular Modeling. Institutional Repository of the Ruđer Bošković Institute (Ruđer Bošković Institute). 11 indexed citations
16.
Tomić, Sanja & Rebecca C. Wade. (2001). COMBINE analysis of nuclear receptor-DNA binding specifity: Comparison of two datasets. Croatica Chemica Acta. 74. 295–314. 4 indexed citations
17.
Kojić-Prodić, B., et al.. (1999). Structure/activity correlations for auxins. Acta Botanica Croatica. 58(1). 27–37.
18.
Tomić, Sanja, Razif R. Gabdoulline, Biserka Kojić‐Prodić, & Rebecca C. Wade. (1998). Classification of auxin related compounds based on similarity of their interaction fields: extension to a new set of compounds.. 1. 26. 5 indexed citations
19.
Kojić‐Prodić, Biserka, et al.. (1997). Structure-activity correlations for ring-alkylated derivatives of indole-3-acetic acid. PLANT PHYSIOLOGY. 114(3). 158–158. 1 indexed citations
20.
Kojić‐Prodić, Biserka, et al.. (1991). Crystal and Molecular Structure of (4S,5S)-6-Ammonium-6-deoxy-3- O -ascorbate. Croatica Chemica Acta. 64(3). 311–317. 1 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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