M. Komjanc

3.3k total citations
22 papers, 714 citations indexed

About

M. Komjanc is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, M. Komjanc has authored 22 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 7 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Molecular Biology. Recurrent topics in M. Komjanc's work include Plant Pathogens and Fungal Diseases (6 papers), Horticultural and Viticultural Research (6 papers) and Plant Physiology and Cultivation Studies (5 papers). M. Komjanc is often cited by papers focused on Plant Pathogens and Fungal Diseases (6 papers), Horticultural and Viticultural Research (6 papers) and Plant Physiology and Cultivation Studies (5 papers). M. Komjanc collaborates with scholars based in Italy, Switzerland and United States. M. Komjanc's co-authors include C. Gessler, Luca Gianfranceschi, Renato Tarchini, N. Seglias, Andrea Patocchi, Elena Zini, Riccardo Velasco, Paolo Baldi, Franco Biasioli and Valentina Cova and has published in prestigious journals such as The Plant Journal, Theoretical and Applied Genetics and Plant Molecular Biology.

In The Last Decade

M. Komjanc

21 papers receiving 658 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Komjanc Italy 10 616 251 222 179 65 22 714
Cvetomir M. Denchev Bulgaria 12 388 0.6× 200 0.8× 221 1.0× 195 1.1× 26 0.4× 110 552
L. Buchwaldt Canada 21 1.2k 1.9× 259 1.0× 254 1.1× 185 1.0× 38 0.6× 42 1.2k
Jonathan Fresnedo‐Ramírez United States 16 522 0.8× 251 1.0× 155 0.7× 86 0.5× 99 1.5× 39 670
G. Kahl Germany 15 835 1.4× 288 1.1× 159 0.7× 313 1.7× 192 3.0× 29 1.1k
A. G. Manganaris Greece 15 583 0.9× 248 1.0× 183 0.8× 128 0.7× 86 1.3× 27 677
Diego Fajardo United States 14 307 0.5× 284 1.1× 121 0.5× 58 0.3× 60 0.9× 19 526
Patrick J. Conner United States 16 705 1.1× 291 1.2× 108 0.5× 139 0.8× 65 1.0× 63 808
Dong Duan China 12 358 0.6× 396 1.6× 93 0.4× 84 0.5× 66 1.0× 21 587
Agnieszka Marasek-Ciołakowska Poland 16 691 1.1× 533 2.1× 110 0.5× 148 0.8× 69 1.1× 58 787

Countries citing papers authored by M. Komjanc

Since Specialization
Citations

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

Fields of papers citing papers by M. Komjanc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Komjanc

This figure shows the co-authorship network connecting the top 25 collaborators of M. Komjanc. A scholar is included among the top collaborators of M. Komjanc 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 M. Komjanc. M. Komjanc 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.
Barbato, Mario, Licia Colli, Roberto Mantovani, et al.. (2024). Genetic legacy and adaptive signatures: investigating the history, diversity, and selection signatures in Rendena cattle resilient to eighteenth century rinderpest epidemics. Genetics Selection Evolution. 56(1). 32–32. 3 indexed citations
2.
Piazza, Stefano, Valeria Gualandri, M. Komjanc, et al.. (2024). The Hansen's baccata #2 gene Rvi12_Cd5 confers scab resistance to the susceptible apple cultivar “Gala Galaxy”. The Plant Journal. 121(2). e17214–e17214.
3.
Cova, Valentina, et al.. (2017). Apple genes involved in the response to Venturia inaequalis and salicylic acid treatment. Scientia Horticulturae. 226. 157–172. 8 indexed citations
4.
Cova, Valentina, Wei Liang, Stefano Tartarini, et al.. (2015). Fine mapping of the Rvi5 (Vm) apple scab resistance locus in the ‘Murray’ apple genotype. Molecular Breeding. 35(10). 17 indexed citations
5.
Cova, Valentina, Stefano Tartarini, C. Gessler, et al.. (2015). ISOLATION OF RVI5 (VM) LOCUS FROM MALUS × DOMESTICA 'MURRAY'. Acta Horticulturae. 21–24. 2 indexed citations
6.
Costa, Fabrizio, Luca Cappellin, Elena Zini, et al.. (2013). QTL validation and stability for volatile organic compounds (VOCs) in apple. Plant Science. 211. 1–7. 48 indexed citations
7.
Baldi, Paolo, Pieter J. Wolters, M. Komjanc, et al.. (2012). Genetic and physical characterisation of the locus controlling columnar habit in apple (Malus × domestica Borkh.). Molecular Breeding. 31(2). 429–440. 49 indexed citations
8.
Cova, Valentina, V. Soglio, M. Komjanc, et al.. (2011). Exploiting expressed sequence tag databases for mapping markers associated with fruit development and fruit quality in apple. Molecular Breeding. 29(3). 699–715. 8 indexed citations
9.
Cova, Valentina, Roberta Paris, Elena Zini, et al.. (2009). Mapping and functional analysis of four apple receptor-like protein kinases related to LRPKm1 in HcrVf2-transgenic and wild-type apple plants. Tree Genetics & Genomes. 6(3). 389–403. 15 indexed citations
10.
Paris, Roberta, Valentina Cova, Giulia Pagliarani, et al.. (2008). Expression profiling in HcrVf2-transformed apple plants in response to Venturia inaequalis. Tree Genetics & Genomes. 5(1). 81–91. 30 indexed citations
11.
Micheletti, Diego, Fábio Trindade Maranhão Costa, Paolo Baldi, et al.. (2008). Linkage disequilibrium analysis to enable more efficient gene and QTL mapping in apple. CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach). 58. 1 indexed citations
12.
Zini, Elena, et al.. (2008). Eight novel microsatellite DNA markers in Rhodiola rosea L.. Conservation Genetics. 10(5). 1397–1399. 6 indexed citations
13.
Malagnini, Valeria, et al.. (2006). Characterization of microsatellite loci in Cacopsylla melanoneura Förster (Homoptera: Psyllidae). Molecular Ecology Notes. 7(3). 495–497. 4 indexed citations
14.
Zini, Elena & M. Komjanc. (2006). Isolation of microsatellite markers in Hieracium pilosella L. Planta Medica. 72(11). 1 indexed citations
15.
Zini, Elena, Franco Biasioli, Flavia Gasperi, et al.. (2005). QTL mapping of volatile compounds in ripe apples detected by proton transfer reaction-mass spectrometry. Euphytica. 145(3). 269–279. 54 indexed citations
16.
Baldi, Paolo, et al.. (2004). Cloning and linkage mapping of resistance gene homologues in apple. Theoretical and Applied Genetics. 109(1). 231–239. 55 indexed citations
17.
Komjanc, M., et al.. (2004). EXPRESSION OF AN APPLE LRR-PROTEIN KINASE (LRPKM1) AFTER VENTURIA INAEQUALIS INFECTION IN APPLE LEAVES TISSUE. Acta Horticulturae. 167–170. 1 indexed citations
19.
Gianfranceschi, Luca, N. Seglias, Renato Tarchini, M. Komjanc, & C. Gessler. (1998). Simple sequence repeats for the genetic analysis of apple. Theoretical and Applied Genetics. 96(8). 1069–1076. 281 indexed citations
20.
Marmiroli, Nelson, M. Komjanc, Valeria Terzi, et al.. (1989). Molecular and physiological parameters as aids in selection for temperature tolerance. Dialnet (Universidad de la Rioja). 49–55. 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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