Eva Collakova

1.9k total citations
37 papers, 1.5k citations indexed

About

Eva Collakova is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Eva Collakova has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Plant Science and 4 papers in Biochemistry. Recurrent topics in Eva Collakova's work include Photosynthetic Processes and Mechanisms (8 papers), Plant Molecular Biology Research (7 papers) and Plant nutrient uptake and metabolism (6 papers). Eva Collakova is often cited by papers focused on Photosynthetic Processes and Mechanisms (8 papers), Plant Molecular Biology Research (7 papers) and Plant nutrient uptake and metabolism (6 papers). Eva Collakova collaborates with scholars based in United States, Australia and India. Eva Collakova's co-authors include Dean DellaPenna, Yair Shachar‐Hill, Andrew D. Hanson, Aymeric Goyer, Ryan S. Senger, Ruth Grene, Lenwood S. Heath, Delasa Aghamirzaie, Barry J. Pogson and James Whelan and has published in prestigious journals such as Journal of Biological Chemistry, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Eva Collakova

37 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Collakova United States 19 935 764 354 137 104 37 1.5k
Analilia Arroyo-Becerra Mexico 16 1.3k 1.4× 1.7k 2.3× 132 0.4× 86 0.6× 44 0.4× 29 2.4k
Aymeric Goyer United States 23 676 0.7× 762 1.0× 44 0.1× 135 1.0× 54 0.5× 41 1.4k
Anthony R. Ashton Australia 26 1.7k 1.8× 1.3k 1.7× 340 1.0× 115 0.8× 63 0.6× 49 2.4k
Motoko Awazuhara Japan 11 1.5k 1.6× 964 1.3× 234 0.7× 148 1.1× 19 0.2× 14 1.9k
Ming‐Hsiun Hsieh Taiwan 22 1.1k 1.2× 1.1k 1.4× 145 0.4× 66 0.5× 35 0.3× 43 1.8k
Caroline Bowsher United Kingdom 26 861 0.9× 1.3k 1.7× 36 0.1× 95 0.7× 119 1.1× 41 1.8k
Maria Magallanes‐Lundback United States 22 1.5k 1.6× 1.2k 1.6× 831 2.3× 144 1.1× 112 1.1× 27 2.4k
Hui Yuan China 24 2.1k 2.3× 1.2k 1.5× 1.4k 3.9× 52 0.4× 220 2.1× 37 2.9k
Pascaline Ullmann France 20 1.6k 1.7× 1.0k 1.3× 128 0.4× 112 0.8× 98 0.9× 26 2.2k
Louis Mt Bradbury United States 14 541 0.6× 817 1.1× 217 0.6× 20 0.1× 51 0.5× 19 1.3k

Countries citing papers authored by Eva Collakova

Since Specialization
Citations

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

Fields of papers citing papers by Eva Collakova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Collakova

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Collakova. A scholar is included among the top collaborators of Eva Collakova 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 Eva Collakova. Eva Collakova 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.
Collakova, Eva, et al.. (2022). Lambda‐PCR for precise DNA assembly and modification. Biotechnology and Bioengineering. 119(12). 3657–3667. 2 indexed citations
2.
Zhao, Chengsong, et al.. (2021). Detailed characterization of the UMAMIT proteins provides insight into their evolution, amino acid transport properties, and role in the plant. Journal of Experimental Botany. 72(18). 6400–6417. 24 indexed citations
3.
Collakova, Eva, et al.. (2021). Increased Expression of UMAMIT Amino Acid Transporters Results in Activation of Salicylic Acid Dependent Stress Response. Frontiers in Plant Science. 11. 606386–606386. 20 indexed citations
4.
Collakova, Eva, et al.. (2020). Characterizing metabolic stress-induced phenotypes ofSynechocystisPCC6803 with Raman spectroscopy. PeerJ. 8. e8535–e8535. 12 indexed citations
5.
6.
Wang, Yaxin, Siming Liu, Zhenzhen Yang, et al.. (2019). Comparative Metabolomics of Early Development of the Parasitic Plants Phelipanche aegyptiaca and Triphysaria versicolor. Metabolites. 9(6). 114–114. 10 indexed citations
7.
Aghamirzaie, Delasa, Eva Collakova, Song Li, & Ruth Grene. (2016). CoSpliceNet: a framework for co-splicing network inference from transcriptomics data. BMC Genomics. 17(1). 845–845. 8 indexed citations
8.
Balota, Maria, et al.. (2016). Heat Stress Related Physiological and Metabolic Traits in Peanut Seedlings. Peanut Science. 1 indexed citations
9.
Pratelli, Réjane, et al.. (2016). UMAMIT14 is an amino acid exporter involved in phloem unloading in Arabidopsis roots. Journal of Experimental Botany. 67(22). 6385–6397. 90 indexed citations
10.
Nourbakhsh, Aida, Eva Collakova, & Glenda E. Gillaspy. (2015). Characterization of the inositol monophosphatase gene family in Arabidopsis. Frontiers in Plant Science. 5. 725–725. 34 indexed citations
11.
Athamneh, Ahmad I. M., et al.. (2014). Near-Real-Time Analysis of the Phenotypic Responses of Escherichia coli to 1-Butanol Exposure Using Raman Spectroscopy. Journal of Bacteriology. 196(23). 3983–3991. 33 indexed citations
12.
Collakova, Eva, et al.. (2013). Metabolic and Transcriptional Reprogramming in Developing Soybean (Glycine max) Embryos. Metabolites. 3(2). 347–372. 53 indexed citations
13.
14.
Grene, Ruth, Haktan Suren, Kuan Yang, et al.. (2012). Mining and visualization of microarray and metabolomic data reveal extensive cell wall remodeling during winter hardening in Sitka spruce (Picea sitchensis). Frontiers in Plant Science. 3. 241–241. 9 indexed citations
15.
Collakova, Eva, et al.. (2012). Are we ready for genome-scale modeling in plants?. Plant Science. 191-192. 53–70. 48 indexed citations
16.
Collakova, Eva, Aymeric Goyer, Valeria Naponelli, et al.. (2008). Arabidopsis 10-Formyl Tetrahydrofolate Deformylases Are Essential for Photorespiration . The Plant Cell. 20(7). 1818–1832. 80 indexed citations
17.
Goyer, Aymeric, Eva Collakova, Yair Shachar‐Hill, & Andrew D. Hanson. (2006). Functional Characterization of a Methionine  -Lyase in Arabidopsis and its Implication in an Alternative to the Reverse Trans-sulfuration Pathway. Plant and Cell Physiology. 48(2). 232–242. 72 indexed citations
18.
Goyer, Aymeric, Tanya L. Johnson, Laura J. Olsen, et al.. (2004). Characterization and Metabolic Function of a Peroxisomal Sarcosine and Pipecolate Oxidase from Arabidopsis. Journal of Biological Chemistry. 279(17). 16947–16953. 69 indexed citations
19.
Collakova, Eva & Dean DellaPenna. (2003). The Role of Homogentisate Phytyltransferase and Other Tocopherol Pathway Enzymes in the Regulation of Tocopherol Synthesis during Abiotic Stress. PLANT PHYSIOLOGY. 133(2). 930–940. 148 indexed citations
20.
Collakova, Eva & Dean DellaPenna. (2003). Homogentisate Phytyltransferase Activity Is Limiting for Tocopherol Biosynthesis in Arabidopsis. PLANT PHYSIOLOGY. 131(2). 632–642. 162 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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