Anna Coll

1.1k total citations
33 papers, 747 citations indexed

About

Anna Coll is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Anna Coll has authored 33 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 18 papers in Molecular Biology and 5 papers in Biotechnology. Recurrent topics in Anna Coll's work include Plant Virus Research Studies (13 papers), Plant-Microbe Interactions and Immunity (11 papers) and CRISPR and Genetic Engineering (8 papers). Anna Coll is often cited by papers focused on Plant Virus Research Studies (13 papers), Plant-Microbe Interactions and Immunity (11 papers) and CRISPR and Genetic Engineering (8 papers). Anna Coll collaborates with scholars based in Slovenia, Spain and France. Anna Coll's co-authors include Kristina Gruden, María Pla, Anna Nadal, Tjaša Lukan, Špela Baebler, Joaquima Messeguer, Nigel Cook, Gemma Capellades, Marko Petek and Teresa Esteve and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Journal of Virology.

In The Last Decade

Anna Coll

31 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Coll Slovenia 18 576 426 117 66 52 33 747
Slavica Djonović United States 8 815 1.4× 428 1.0× 46 0.4× 67 1.0× 32 0.6× 9 1.0k
Christopher Dardick United States 18 1.3k 2.3× 605 1.4× 59 0.5× 64 1.0× 26 0.5× 31 1.5k
Nélida Brito Spain 20 1.2k 2.1× 658 1.5× 67 0.6× 40 0.6× 90 1.7× 34 1.5k
Eunice J. Allan United Kingdom 16 442 0.8× 464 1.1× 127 1.1× 83 1.3× 51 1.0× 37 794
Asun Fernández‐del‐Carmen Spain 18 502 0.9× 828 1.9× 225 1.9× 50 0.8× 20 0.4× 24 1.1k
Saijun Tang China 12 1.1k 1.9× 407 1.0× 71 0.6× 39 0.6× 48 0.9× 13 1.2k
Séverine Lacombe France 13 616 1.1× 228 0.5× 83 0.7× 54 0.8× 35 0.7× 28 726
Moriyuki Kawauchi Japan 15 212 0.4× 425 1.0× 77 0.7× 95 1.4× 67 1.3× 44 660
Daniel Lanver Germany 10 1.3k 2.2× 616 1.4× 34 0.3× 80 1.2× 46 0.9× 12 1.5k

Countries citing papers authored by Anna Coll

Since Specialization
Citations

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

Fields of papers citing papers by Anna Coll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Coll

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Coll. A scholar is included among the top collaborators of Anna Coll 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 Anna Coll. Anna Coll 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.
Stare, Katja, Magda Tušek Žnidarič, Katarina Bačnik, et al.. (2025). Functionality of potato virus Y coat protein in cell-to-cell movement dynamics is defined by its N-terminal region. Journal of Virology. 99(12). e0140025–e0140025.
2.
Coll, Anna, Tjaša Lukan, Katja Stare, et al.. (2024). The StPti5 ethylene response factor acts as a susceptibility factor by negatively regulating the potato immune response to pathogens. New Phytologist. 244(1). 202–218. 3 indexed citations
3.
Dermastia, Marina, Tjaša Lukan, Anna Coll, et al.. (2023). Candidate pathogenicity factor/effector proteins of ‘Candidatus Phytoplasma solani’ modulate plant carbohydrate metabolism, accelerate the ascorbate–glutathione cycle, and induce autophagosomes. Frontiers in Plant Science. 14. 1232367–1232367. 1 indexed citations
4.
Petek, Marko, Tjaša Lukan, Katja Stare, et al.. (2022). A mini-TGA protein modulates gene expression through heterogeneous association with transcription factors. PLANT PHYSIOLOGY. 191(3). 1934–1952. 7 indexed citations
5.
Petek, Marko, Andrej Blejec, Živa Ramšak, et al.. (2022). pISA-tree - a data management framework for life science research projects using a standardised directory tree. Scientific Data. 9(1). 685–685. 1 indexed citations
6.
Lukan, Tjaša, Anna Coll, Špela Baebler, & Kristina Gruden. (2022). Analysis of Virus Spread Around the Cell Death Zone at Spatiotemporal Resolution Using Confocal Microscopy. Methods in molecular biology. 2447. 261–270. 2 indexed citations
7.
Gruden, Kristina, et al.. (2022). TGA transcription factors—Structural characteristics as basis for functional variability. Frontiers in Plant Science. 13. 935819–935819. 32 indexed citations
8.
9.
Stare, Katja, Anna Coll, Ion Gutiérrez‐Aguirre, et al.. (2020). Generation and in Planta Functional Analysis of Potato Virus Y mutants. BIO-PROTOCOL. 10(14). e3692–e3692. 2 indexed citations
10.
Petek, Marko, Živa Ramšak, Elizabeth Tseng, et al.. (2020). Cultivar-specific transcriptome and pan-transcriptome reconstruction of tetraploid potato. Scientific Data. 7(1). 249–249. 28 indexed citations
11.
Lukan, Tjaša, Fabian Machens, Anna Coll, et al.. (2018). Plant X-tender: An extension of the AssemblX system for the assembly and expression of multigene constructs in plants. PLoS ONE. 13(1). e0190526–e0190526. 14 indexed citations
12.
Lukan, Tjaša, et al.. (2018). Cell Death Is Not Sufficient for the Restriction of Potato Virus Y Spread in Hypersensitive Response-Conferred Resistance in Potato. Frontiers in Plant Science. 9. 168–168. 31 indexed citations
13.
Coll, Anna, Mandy Wilson, Kristina Gruden, & Jean Peccoud. (2016). GenoCAD Plant Grammar to Design Plant Expression Vectors for Promoter Analysis. Methods in molecular biology. 1482. 219–232. 6 indexed citations
14.
Coll, Anna, et al.. (2014). Involvement of Potato (Solanum tuberosum L.) MKK6 in Response to Potato virus Y. PLoS ONE. 9(8). e104553–e104553. 17 indexed citations
15.
Coll, Anna, et al.. (2010). Only half the transcriptomic differences between resistant genetically modified and conventional rice are associated with the transgene. Plant Biotechnology Journal. 9(6). 693–702. 35 indexed citations
16.
Coll, Anna, et al.. (2010). Proteomic analysis of MON810 and comparable non-GM maize varieties grown in agricultural fields. Transgenic Research. 20(4). 939–949. 39 indexed citations
17.
Coll, Anna, Anna Nadal, Montserrat Palaudelmàs, et al.. (2008). Lack of repeatable differential expression patterns between MON810 and comparable commercial varieties of maize. Plant Molecular Biology. 68(1-2). 105–117. 43 indexed citations
18.
Nadal, Anna, Anna Coll, Nigel Cook, & María Pla. (2007). A molecular beacon-based real time NASBA assay for detection of Listeria monocytogenes in food products: Role of target mRNA secondary structure on NASBA design. Journal of Microbiological Methods. 68(3). 623–632. 46 indexed citations
19.
Nadal, Anna, Anna Coll, Anna Aviñó, et al.. (2006). Efficient Sequence‐Specific Purification of Listeria innocua mRNA Species by Triplex Affinity Capture with Parallel Tail‐Clamps. ChemBioChem. 7(7). 1039–1047. 15 indexed citations
20.
Nadal, Anna, et al.. (2006). A new PCR‐CGE (size and color) method for simultaneous detection of genetically modified maize events. Electrophoresis. 27(19). 3879–3888. 43 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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