Natasa Pajkovic

828 total citations
9 papers, 543 citations indexed

About

Natasa Pajkovic is a scholar working on Molecular Biology, Biochemistry and Organic Chemistry. According to data from OpenAlex, Natasa Pajkovic has authored 9 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Biochemistry and 3 papers in Organic Chemistry. Recurrent topics in Natasa Pajkovic's work include Antioxidant Activity and Oxidative Stress (6 papers), Free Radicals and Antioxidants (3 papers) and Plant biochemistry and biosynthesis (3 papers). Natasa Pajkovic is often cited by papers focused on Antioxidant Activity and Oxidative Stress (6 papers), Free Radicals and Antioxidants (3 papers) and Plant biochemistry and biosynthesis (3 papers). Natasa Pajkovic collaborates with scholars based in United States, United Kingdom and Belgium. Natasa Pajkovic's co-authors include Richard B. van Breemen, Linlin Dong, Dongwei Zhu, Yan Wang, Chungang Gu, Yan Ling Joy Pang, Andrew D. Mesecar, Ang Liu, Barbara Calamini and Roohollah Sharifi and has published in prestigious journals such as Analytical Chemistry, Journal of Pharmacology and Experimental Therapeutics and Journal of Pharmaceutical Sciences.

In The Last Decade

Natasa Pajkovic

9 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Natasa Pajkovic United States	9	311	232	73	51	46	9	543
Rangaswamy Lakshminarayana India	12	296 1.0×	189 0.8×	79 1.1×	82 1.6×	75 1.6×	19	506
Raju Marisiddaiah India	14	373 1.2×	204 0.9×	75 1.0×	150 2.9×	107 2.3×	29	706
Sandra Gradelet France	9	310 1.0×	232 1.0×	91 1.2×	97 1.9×	83 1.8×	9	525
J. Takayasu Japan	8	136 0.4×	308 1.3×	66 0.9×	91 1.8×	38 0.8×	12	521
Akiyoshi Sawabe Japan	16	142 0.5×	380 1.6×	136 1.9×	176 3.5×	35 0.8×	61	675
Verónica Ruiz-Torres Spain	10	126 0.4×	213 0.9×	114 1.6×	69 1.4×	28 0.6×	12	583
Klaus Himmeldirk United States	13	118 0.4×	411 1.8×	78 1.1×	158 3.1×	40 0.9×	14	721
Maruthaiveeran Periyasamy Balasubramanian India	16	85 0.3×	233 1.0×	42 0.6×	136 2.7×	46 1.0×	29	610
Yoshifumi Egawa Japan	5	133 0.4×	98 0.4×	123 1.7×	23 0.5×	36 0.8×	6	321
Rama Addepalli Australia	16	65 0.2×	236 1.0×	194 2.7×	61 1.2×	56 1.2×	27	621

Countries citing papers authored by Natasa Pajkovic

Since Specialization

Citations

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

Fields of papers citing papers by Natasa Pajkovic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natasa Pajkovic

This figure shows the co-authorship network connecting the top 25 collaborators of Natasa Pajkovic. A scholar is included among the top collaborators of Natasa Pajkovic 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 Natasa Pajkovic. Natasa Pajkovic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Uslaner, Jason M., Scott D. Kuduk, Marion Wittmann, et al.. (2018). Preclinical to Human Translational Pharmacology of the Novel M1 Positive Allosteric Modulator MK-7622. Journal of Pharmacology and Experimental Therapeutics. 365(3). 556–566. 31 indexed citations

Salter, Rhys, Douglas C. Beshore, Steven L. Colletti, et al.. (2018). Microbial biotransformation – an important tool for the study of drug metabolism. Xenobiotica. 49(8). 877–886. 16 indexed citations

Wang, Haiping, K.M. Anderson, Paul Harradine, et al.. (2014). Understanding and Reducing the Experimental Variability of In Vitro Plasma Protein Binding Measurements. Journal of Pharmaceutical Sciences. 103(10). 3302–3309. 16 indexed citations

Breemen, Richard B. van, Linlin Dong, & Natasa Pajkovic. (2011). Atmospheric pressure chemical ionization tandem mass spectrometry of carotenoids. International Journal of Mass Spectrometry. 312. 163–172. 147 indexed citations

Breemen, Richard B. van, Roohollah Sharifi, Marlos A. G. Viana, et al.. (2011). Antioxidant Effects of Lycopene in African American Men with Prostate Cancer or Benign Prostate Hyperplasia: A Randomized, Controlled Trial. Cancer Prevention Research. 4(5). 711–718. 58 indexed citations

Breemen, Richard B. van & Natasa Pajkovic. (2008). Multitargeted therapy of cancer by lycopene. Cancer Letters. 269(2). 339–351. 150 indexed citations

Goo, Young Ah, Natasa Pajkovic, Scott A. Shaffer, et al.. (2007). Systematic investigation of lycopene effects in LNCaP cells by use of novel large‐scale proteomic analysis software. PROTEOMICS - CLINICAL APPLICATIONS. 1(5). 513–523. 28 indexed citations

Liu, Ang, Natasa Pajkovic, Yan Ling Joy Pang, et al.. (2006). Absorption and subcellular localization of lycopene in human prostate cancer cells. Molecular Cancer Therapeutics. 5(11). 2879–2885. 46 indexed citations

Pajkovic, Natasa, et al.. (2003). Quantitative Analysis of Lycopene Isomers in Human Plasma Using High-Performance Liquid Chromatography−Tandem Mass Spectrometry. Analytical Chemistry. 75(4). 812–817. 51 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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