Valdet Uka

488 total citations
11 papers, 327 citations indexed

About

Valdet Uka is a scholar working on Plant Science, Pharmacology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Valdet Uka has authored 11 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 6 papers in Pharmacology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Valdet Uka's work include Mycotoxins in Agriculture and Food (9 papers), Microbial Natural Products and Biosynthesis (6 papers) and Plant and fungal interactions (3 papers). Valdet Uka is often cited by papers focused on Mycotoxins in Agriculture and Food (9 papers), Microbial Natural Products and Biosynthesis (6 papers) and Plant and fungal interactions (3 papers). Valdet Uka collaborates with scholars based in Belgium, United States and Kosovo. Valdet Uka's co-authors include José Diana Di Mavungu, Sarah De Saeger, Natalia Arroyo‐Manzanares, Geromy G. Moore, Jeffrey W. Cary, Matthew D. Lebar, Qijian Wei, Miribane Dërmaku‐Sopjani, Laura Gámiz‐Gracia and Olivier Puel and has published in prestigious journals such as Frontiers in Microbiology, Comprehensive Reviews in Food Science and Food Safety and Archives of Disease in Childhood.

In The Last Decade

Valdet Uka

11 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valdet Uka Belgium 9 193 110 99 74 31 11 327
Marieke Vansteelandt France 10 85 0.4× 137 1.2× 112 1.1× 52 0.7× 14 0.5× 22 301
Roberto Rodríguez-Ortiz Mexico 10 94 0.5× 114 1.0× 140 1.4× 55 0.7× 16 0.5× 15 331
Xuemei Tian China 11 178 0.9× 111 1.0× 182 1.8× 100 1.4× 86 2.8× 32 392
Ming‐Sheng Bai China 7 100 0.5× 171 1.6× 124 1.3× 53 0.7× 34 1.1× 16 325
Svetlana A. Kalinina Germany 13 118 0.6× 83 0.8× 79 0.8× 79 1.1× 24 0.8× 27 356
Blaise A. Darveaux United States 9 115 0.6× 154 1.4× 164 1.7× 82 1.1× 17 0.5× 13 328
Rattaket Choeyklin Thailand 11 154 0.8× 298 2.7× 154 1.6× 66 0.9× 53 1.7× 29 409
Sung‐Yuan Hsieh Taiwan 13 128 0.7× 208 1.9× 176 1.8× 144 1.9× 26 0.8× 55 485
Junxiang Zhang China 14 294 1.5× 60 0.5× 345 3.5× 109 1.5× 12 0.4× 38 600
Sai-Fei Li China 9 118 0.6× 98 0.9× 75 0.8× 103 1.4× 70 2.3× 13 301

Countries citing papers authored by Valdet Uka

Since Specialization
Citations

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

Fields of papers citing papers by Valdet Uka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valdet Uka

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

All Works

11 of 11 papers shown
1.
Uka, Valdet, et al.. (2020). Chemical repertoire and biosynthetic machinery of the Aspergillus flavus secondary metabolome: A review. Comprehensive Reviews in Food Science and Food Safety. 19(6). 2797–2842. 33 indexed citations
2.
Uka, Valdet, et al.. (2020). JAK2-mediated Intracellular Signaling. Current Molecular Medicine. 21(5). 417–425. 29 indexed citations
4.
Arroyo‐Manzanares, Natalia, Karl De Ruyck, Valdet Uka, et al.. (2018). In-house validation of a rapid and efficient procedure for simultaneous determination of ergot alkaloids and other mycotoxins in wheat and maize. Analytical and Bioanalytical Chemistry. 410(22). 5567–5581. 40 indexed citations
5.
Lebar, Matthew D., Jeffrey W. Cary, Rajtilak Majumdar, et al.. (2018). Identification and functional analysis of the aspergillic acid gene cluster in Aspergillus flavus. Fungal Genetics and Biology. 116. 14–23. 33 indexed citations
7.
Vanhoutte, Ilse, Marthe De Boevre, Valdet Uka, et al.. (2017). Microbial Detoxification of Deoxynivalenol (DON), Assessed via a Lemna minor L. Bioassay, through Biotransformation to 3-epi-DON and 3-epi-DOM-1. Toxins. 9(2). 63–63. 31 indexed citations
8.
Arroyo‐Manzanares, Natalia, José Diana Di Mavungu, Valdet Uka, et al.. (2015). Use of UHPLC high-resolution Orbitrap mass spectrometry to investigate the genes involved in the production of secondary metabolites inAspergillus flavus. Food Additives & Contaminants Part A. 32(10). 1656–1673. 14 indexed citations
9.
Cary, Jeffrey W., Valdet Uka, Zheng Han, et al.. (2015). An Aspergillus flavus secondary metabolic gene cluster containing a hybrid PKS–NRPS is necessary for synthesis of the 2-pyridones, leporins. Fungal Genetics and Biology. 81. 88–97. 63 indexed citations
10.
Arroyo‐Manzanares, Natalia, José Diana Di Mavungu, Valdet Uka, et al.. (2015). An integrated targeted and untargeted approach for the analysis of ergot alkaloids in cereals using UHPLC – hybrid quadrupole time-of-flight mass spectrometry. World Mycotoxin Journal. 8(5). 653–666. 4 indexed citations
11.
Uka, Valdet, et al.. (2012). 675 Malnourished Children with Acute Diarrhea. Archives of Disease in Childhood. 97(Suppl 2). A195–A195. 4 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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