Dragana Miladinović

1.8k total citations
89 papers, 803 citations indexed

About

Dragana Miladinović is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Dragana Miladinović has authored 89 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Plant Science, 24 papers in Molecular Biology and 14 papers in Agronomy and Crop Science. Recurrent topics in Dragana Miladinović's work include Sunflower and Safflower Cultivation (46 papers), Nitrogen and Sulfur Effects on Brassica (14 papers) and Genetics and Plant Breeding (14 papers). Dragana Miladinović is often cited by papers focused on Sunflower and Safflower Cultivation (46 papers), Nitrogen and Sulfur Effects on Brassica (14 papers) and Genetics and Plant Breeding (14 papers). Dragana Miladinović collaborates with scholars based in Serbia, Croatia and Türkiye. Dragana Miladinović's co-authors include Siniša Jocić, Sandra Cvejić, Aleksandra Radanović, Boško Dedić, Milan Jocković, Aleksandra Dimitrijević, Ivana Imerovski, Ana Marjanović‐Jeromela, Vladimir Miklič and Nada Hladni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Dragana Miladinović

85 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dragana Miladinović Serbia	15	716	183	143	73	54	89	803
R. Ravikesavan India	15	662 0.9×	145 0.8×	122 0.9×	118 1.6×	26 0.5×	128	775
Miroslav Zorić Serbia	17	702 1.0×	79 0.4×	244 1.7×	173 2.4×	32 0.6×	77	803
Arnulf Merker Sweden	19	947 1.3×	161 0.9×	151 1.1×	212 2.9×	65 1.2×	61	1.1k
Vikram Singh Gaur India	16	591 0.8×	174 1.0×	52 0.4×	123 1.7×	29 0.5×	31	698
Ram J. Singh United States	15	583 0.8×	261 1.4×	40 0.3×	103 1.4×	98 1.8×	39	777
Satish K. Guttikonda United States	12	1.1k 1.5×	545 3.0×	81 0.6×	92 1.3×	39 0.7×	12	1.3k
Maria Surma Poland	16	757 1.1×	155 0.8×	134 0.9×	186 2.5×	26 0.5×	72	821
Ahmad Ali China	13	443 0.6×	184 1.0×	160 1.1×	69 0.9×	16 0.3×	42	619
Timothy G. Porch United States	24	1.6k 2.3×	174 1.0×	300 2.1×	61 0.8×	67 1.2×	76	1.7k

Countries citing papers authored by Dragana Miladinović

Since Specialization

Citations

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

Fields of papers citing papers by Dragana Miladinović

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dragana Miladinović

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

All Works

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20 of 20 papers shown

Jocković, Milan, Siniša Jocić, Sandra Cvejić, et al.. (2024). Unveiling sunflower morphological and phenological adaptations to drought stress. OCL. 31. 29–29.

Cvejić, Sandra, et al.. (2024). Transfer Learning in Multimodal Sunflower Drought Stress Detection. Applied Sciences. 14(14). 6034–6034.

Cvejić, Sandra, et al.. (2023). Oil yield prediction for sunflower hybrid selection using different machine learning algorithms. Scientific Reports. 13(1). 17611–17611. 7 indexed citations

Kondić‐Špika, Ankica, Sanja Mikić, Milan Mirosavljević, et al.. (2022). Crop breeding for a changing climate in the Pannonian region: towards integration of modern phenotyping tools. Journal of Experimental Botany. 73(15). 5089–5110. 7 indexed citations

Cvejić, Sandra, et al.. (2022). Introducing a cut-stem inoculation method for fast evaluation of sunflower resistance to Macrophomina phaseolina. Phytoparasitica. 50(4). 775–788. 2 indexed citations

Marjanović‐Jeromela, Ana, Ankica Kondić‐Špika, Dragana Rajković, et al.. (2021). New technologies in achieving heat and drought resilient oilseed production, the case of camelina. FiVeR (Institute of Field and Vegetable Crops, Novi Sad, Serbia). 1 indexed citations

Miladinović, Dragana, M. D. Carlos Antunes, Kubilay Yıldırım, et al.. (2021). Targeted plant improvement through genome editing: from laboratory to field. Plant Cell Reports. 40(6). 935–951. 40 indexed citations

Jocković, Milan, Siniša Jocić, Sandra Cvejić, et al.. (2021). Genetic Improvement in Sunflower Breeding—Integrated Omics Approach. Plants. 10(6). 1150–1150. 2 indexed citations

Jocković, Milan, Sandra Cvejić, Siniša Jocić, et al.. (2019). EVALUATION OF SUNFLOWER HYBRIDS IN MULTI-ENVIRONMENT TRIAL (MET). Turkish Journal Of Field Crops. 202–210. 17 indexed citations

10.

Cvejić, Sandra, Siniša Jocić, Velimir Mladenov, et al.. (2019). Selection of sunflower hybrids based on stability across environments. Genetika. 51(1). 81–92. 6 indexed citations

11.

Kondić‐Špika, Ankica, Novica Mladenov, Nada Grahovac, et al.. (2019). Biometric Analyses of Yield, Oil and Protein Contents of Wheat (Triticum aestivum L.) Genotypes in Different Environments. Agronomy. 9(6). 270–270. 22 indexed citations

12.

Cvejić, Sandra, et al.. (2018). Drought effect on maize seedling development. Ratarstvo i povrtarstvo. 55(3). 135–138. 3 indexed citations

13.

Marjanović‐Jeromela, Ana, Ankica Kondić‐Špika, Dragana Miladinović, et al.. (2016). Phenotypic and molecular evaluation of genetic diversity in ns safflower (Carthamus tinctorius L.) collection. SHILAP Revista de lepidopterología. 91–98. 1 indexed citations

14.

Luković, Jadranka, S. Terzić, Milan Jocković, et al.. (2016). Micro-morphological features of achene of wild annual sunflowers. SHILAP Revista de lepidopterología. 73–80. 2 indexed citations

15.

Cvejić, Sandra, Siniša Jocić, Milan Jocković, et al.. (2015). NEW GENETIC VARIABILITY IN SUNFLOWER INBRED LINES CREATED BY MUTAGENESIS. Romanian Agricultural Research. 27–34. 3 indexed citations

16.

Terzić, S., et al.. (2013). Correlations and path analyses of yield and other sunflower seed characters. Genetika. 45(2). 459–466. 11 indexed citations

17.

Marjanović‐Jeromela, Ana, et al.. (2013). Components of genetic variance for some quantitative characteristics in castor bean.. Bulgarian Journal of Agricultural Science. 19(6). 1225–1230. 1 indexed citations

18.

Miklič, Vladimir, et al.. (2012). EFFECT OF LOCATION AND HARVESTING DATE ON YIELD AND 1,000-SEED WEIGHT OF DIFFERENT SUNFLOWER GENOTYPES. Romanian Agricultural Research. 219–225. 8 indexed citations

19.

Marjanović‐Jeromela, Ana, et al.. (2010). Effect of environment on rapeseed (Brassica napus L.) yield. Ratarstvo i povrtarstvo. 47(1). 173–178. 1 indexed citations

20.

Kevrešan, S., et al.. (2008). The effect of naphthenic acids on white poplar (Populus alba L.) microcuttings' rooting. FiVeR (Institute of Field and Vegetable Crops, Novi Sad, Serbia). 41–48. 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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