Stephan Summerer

812 total citations · 2 hit papers
31 papers, 579 citations indexed

About

Stephan Summerer is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Stephan Summerer has authored 31 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 9 papers in Molecular Biology and 6 papers in Ecology. Recurrent topics in Stephan Summerer's work include Remote Sensing in Agriculture (6 papers), Plant Stress Responses and Tolerance (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). Stephan Summerer is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Plant Stress Responses and Tolerance (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). Stephan Summerer collaborates with scholars based in Italy, France and Germany. Stephan Summerer's co-authors include Angelo Petrozza, Francesco Cellini, Vito Renò, Giovanni Dimauro, Angelo Cardellicchio, Alberto Piaggesi, G. Di Tommaso, Eleonora Paparelli, Antonietta Santaniello and Pierdomenico Perata and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Stephan Summerer

26 papers receiving 567 citations

Hit Papers

Detection of tomato plant phenotyping traits using YOLOv5... 2023 2026 2024 2025 2023 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephan Summerer Italy 11 431 88 72 71 38 31 579
Hui Fang China 13 375 0.9× 108 1.2× 101 1.4× 42 0.6× 20 0.5× 33 490
Milad Eskandari Canada 16 634 1.5× 77 0.9× 109 1.5× 63 0.9× 13 0.3× 34 783
Yajiao Cheng China 11 589 1.4× 111 1.3× 161 2.2× 82 1.2× 13 0.3× 13 736
R. van der Schoor Netherlands 13 358 0.8× 60 0.7× 115 1.6× 47 0.7× 15 0.4× 27 451
Gabriele Fiene Saudi Arabia 13 539 1.3× 139 1.6× 270 3.8× 29 0.4× 16 0.4× 16 666
Chin-Ying Yang Taiwan 18 837 1.9× 135 1.5× 294 4.1× 39 0.5× 11 0.3× 37 1.0k
Parul Sharma India 7 293 0.7× 42 0.5× 30 0.4× 81 1.1× 13 0.3× 23 401
Huahong Huang China 14 392 0.9× 51 0.6× 315 4.4× 62 0.9× 33 0.9× 43 614
M. Suárez Spain 13 337 0.8× 42 0.5× 66 0.9× 41 0.6× 18 0.5× 38 457

Countries citing papers authored by Stephan Summerer

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Summerer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Summerer

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Summerer. A scholar is included among the top collaborators of Stephan Summerer 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 Stephan Summerer. Stephan Summerer 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.
Sillo, Fabiano, Christophe Salon, Vincenzo Montesano, et al.. (2025). A novel P indicator to evaluate bread wheat ( Triticum aestivum ) genotypes to identify tolerance to phosphorus deficiency based on two distinct root phenotyping platforms. Annals of Botany. 136(5-6). 1203–1218. 1 indexed citations
2.
Arbucci, Salvatore, Pasquale De Vita, Stephan Summerer, et al.. (2025). The endophyte Klebsiella pasteurii BDA134-6 isolated from African rice colonizes durum wheat plants helping them cope with water shortage stress. Scientific Reports. 15(1). 28348–28348.
3.
Mininni, Alba N., et al.. (2025). Physiological and image-based phenotyping assessment of waterlogging responses of three kiwifruit rootstocks and grafting combinations. Frontiers in Plant Science. 16. 1499432–1499432. 3 indexed citations
4.
Giovannini, Luca, Chiara Pagliarani, Walter Chitarra, et al.. (2025). Phenotyping as a tool to study the impact of seed priming and arbuscular mycorrhizal fungi on tomato response to water limitation. FEMS Microbiology Letters. 372.
5.
Petrozza, Angelo, Stephan Summerer, Stefania Fortunato, et al.. (2024). Overview of transcriptome changes and phenomic profile of sanitized artichoke vis‐à‐vis non‐sanitized plants. Plant Biology. 26(5). 715–726. 1 indexed citations
6.
Cardellicchio, Angelo, Giovanni Dimauro, Alba N. Mininni, et al.. (2024). Enhancing Small Object Detection in the YOLOv8 model: A Comprehensive Analysis of the Optimized Model Head Adaptations. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 599–604.
7.
Cardellicchio, Angelo, et al.. (2024). Patch-based probabilistic identification of plant roots using convolutional neural networks. Pattern Recognition Letters. 183. 125–132.
8.
Cardellicchio, Angelo, Giovanni Dimauro, Angelo Petrozza, et al.. (2024). Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity. Computers and Electronics in Agriculture. 218. 108728–108728. 50 indexed citations breakdown →
9.
Avola, Giovanni, Marco Bindi, Claudio Cantini, et al.. (2023). Low-Cost Hyperspectral Imaging to Detect Drought Stress in High-Throughput Phenotyping. Plants. 12(8). 1730–1730. 10 indexed citations
10.
Petrozza, Angelo, Stephan Summerer, Filippο Vurro, et al.. (2023). A Lycopene ε-Cyclase TILLING Allele Enhances Lycopene and Carotenoid Content in Fruit and Improves Drought Stress Tolerance in Tomato Plants. Genes. 14(6). 1284–1284. 8 indexed citations
12.
Janni, Michela, Nicola Coppedé, M. Bettelli, et al.. (2019). In Vivo Phenotyping for the Early Detection of Drought Stress in Tomato. Plant Phenomics. 2019. 6168209–6168209. 74 indexed citations
13.
Nuzzo, Vitale, et al.. (2019). Preliminary high-throughput phenotyping analysis in grapevines under drought. SHILAP Revista de lepidopterología. 13. 2003–2003. 4 indexed citations
14.
Petrozza, Angelo, Stephan Summerer, Giovanni Povero, et al.. (2019). Can High Throughput Phenotyping Help Food Security in the Mediterranean Area?. Frontiers in Plant Science. 10. 15–15. 33 indexed citations
15.
Montanaro, Giuseppe, et al.. (2019). Drought phenotyping in Vitis vinifera using RGB and NIR imaging. Scientia Horticulturae. 256. 108555–108555. 48 indexed citations
16.
Valkov, Vladimir Totev, Enrica D’Apuzzo, Angelo Petrozza, et al.. (2017). Ectopic Expression of PII Induces Stomatal Closure in Lotus japonicus. Frontiers in Plant Science. 8. 1299–1299. 7 indexed citations
17.
Summerer, Stephan, et al.. (2017). High-Throughput Phenotyping in Plant Stress Response: Methods and Potential Applications to Polyamine Field. Methods in molecular biology. 1694. 373–388. 7 indexed citations
18.
Summerer, Stephan, Angelo Petrozza, & Francesco Cellini. (2013). HIGH THROUGHPUT PLANT PHENOTYPING: A NEW AND OBJECTIVE METHOD TO DETECT AND ANALYSE THE BIOSTIMULANT PROPERTIES OF DIFFERENT PRODUCTS. Acta Horticulturae. 143–148. 7 indexed citations
19.
Blée, Elizabeth, et al.. (2005). Soybean Epoxide Hydrolase. Journal of Biological Chemistry. 280(8). 6479–6487. 17 indexed citations
20.
Summerer, Stephan, et al.. (2002). Overexpression of Arabidopsis thaliana soluble epoxide hydrolase 1 in Pichia pastoris and characterisation of the recombinant enzyme. Protein Expression and Purification. 26(1). 65–70. 9 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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