Katja Herzog

2.5k total citations
36 papers, 611 citations indexed

About

Katja Herzog is a scholar working on Plant Science, Food Science and Cell Biology. According to data from OpenAlex, Katja Herzog has authored 36 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 13 papers in Food Science and 11 papers in Cell Biology. Recurrent topics in Katja Herzog's work include Horticultural and Viticultural Research (32 papers), Fermentation and Sensory Analysis (13 papers) and Plant Pathogens and Fungal Diseases (11 papers). Katja Herzog is often cited by papers focused on Horticultural and Viticultural Research (32 papers), Fermentation and Sensory Analysis (13 papers) and Plant Pathogens and Fungal Diseases (11 papers). Katja Herzog collaborates with scholars based in Germany, Switzerland and Italy. Katja Herzog's co-authors include Reinhard Töpfer, Anna Kicherer, Volker Steinhage, Florian Rist, Erich-Christian Oerke, Ribana Roscher, Wolfgang Förstner, Daniel Cremers, Maria Klodt and Heiner Kuhlmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Experimental Botany and Gene.

In The Last Decade

Katja Herzog

34 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katja Herzog Germany 14 537 212 123 104 90 36 611
Anna Kicherer Germany 15 576 1.1× 237 1.1× 130 1.1× 113 1.1× 101 1.1× 32 658
Salvador Gutiérrez Spain 17 585 1.1× 251 1.2× 140 1.1× 304 2.9× 52 0.6× 43 811
Roberta De Bei Australia 16 632 1.2× 237 1.1× 253 2.1× 78 0.8× 84 0.9× 37 751
Anastasia L. Lagopodi Greece 19 911 1.7× 197 0.9× 84 0.7× 93 0.9× 76 0.8× 45 1.1k
Vidyasagar Sathuvalli United States 16 762 1.4× 255 1.2× 170 1.4× 53 0.5× 136 1.5× 61 1.0k
Borja Millán Spain 19 758 1.4× 318 1.5× 168 1.4× 252 2.4× 105 1.2× 26 868
Carlos Lucena Spain 17 1.2k 2.3× 273 1.3× 30 0.2× 80 0.8× 118 1.3× 31 1.5k
Misha T. Kwasniewski United States 12 554 1.0× 218 1.0× 214 1.7× 143 1.4× 49 0.5× 28 720
Lucio Brancadoro Italy 19 774 1.4× 91 0.4× 407 3.3× 81 0.8× 33 0.4× 68 890
B. Panneton Canada 16 577 1.1× 117 0.6× 40 0.3× 75 0.7× 45 0.5× 56 764

Countries citing papers authored by Katja Herzog

Since Specialization
Citations

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

Fields of papers citing papers by Katja Herzog

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Herzog

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Herzog. A scholar is included among the top collaborators of Katja Herzog 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 Katja Herzog. Katja Herzog 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.
Röckel, Franco, et al.. (2025). Heat waves reveal additive genetic effects leading to sunburn resilience of grapevine berries. Frontiers in Plant Science. 16. 1533345–1533345.
2.
Herzog, Katja, et al.. (2025). High-throughput phenotyping in grapevine breeding research: technologies and applications. OENO One. 59(3). 1 indexed citations
3.
Pätzold, Stefan, et al.. (2023). Deep incorporation of organic amendments into soils of a ‘Calardis Musqué’ vineyard: effects on greenhouse gas emissions, vine vigor, and grape quality. Frontiers in Plant Science. 14. 1253458–1253458. 5 indexed citations
4.
Herzog, Katja, Florian Schwander, Hanns‐Heinz Kassemeyer, et al.. (2022). Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot. Frontiers in Plant Science. 12. 808365–808365. 13 indexed citations
5.
6.
Holtgräwe, Daniela, Katja Herzog, Florian Schwander, et al.. (2021). Transcriptomic analysis of temporal shifts in berry development between two grapevine cultivars of the Pinot family reveals potential genes controlling ripening time. BMC Plant Biology. 21(1). 327–327. 13 indexed citations
7.
Herzog, Katja, et al.. (2019). An adaptable approach to automated visual detection of plant organs with applications in grapevine breeding. Biosystems Engineering. 183. 170–183. 36 indexed citations
8.
Schindler, Frank, et al.. (2018). Semantic labeling and reconstruction of grape bunches from 3D range data using a new RGB-D feature descriptor. Computers and Electronics in Agriculture. 155. 96–102. 12 indexed citations
9.
10.
Kicherer, Anna, Katja Herzog, Andreas Backhaus, et al.. (2017). Phenoliner: A New Field Phenotyping Platform for Grapevine Research. Sensors. 17(7). 1625–1625. 36 indexed citations
11.
Rist, Florian, et al.. (2017). Experimental Evaluation of the Performance of Local Shape Descriptors for the Classification of 3D Data in Precision Farming. Journal of Computer and Communications. 5(12). 1–12. 3 indexed citations
12.
Herzog, Katja, Michael Fischer, Ralf T. Voegele, et al.. (2017). Effects of canopy architecture and microclimate on grapevine health in two training systems. Federal Research Centre for Cultivated Plants (Julius Kühn-Institut). 57(2). 53–60. 19 indexed citations
13.
Kicherer, Anna, Maria Klodt, Sara Sharifzadeh, et al.. (2016). Automatic image-based determination of pruning mass as a determinant for yield potential in grapevine management and breeding. Australian Journal of Grape and Wine Research. 23(1). 120–124. 17 indexed citations
14.
Herzog, Katja, et al.. (2016). Variety-depending susceptibility of cherries to Drosophila suzukii according to fruit firmness and other ripening parameters. Federal Research Centre for Cultivated Plants (Julius Kühn-Institut). 186(186). 12. 1 indexed citations
15.
Oerke, Erich-Christian, et al.. (2016). Hyperspectral phenotyping of the reaction of grapevine genotypes to Plasmopara viticola. Journal of Experimental Botany. 67(18). 5529–5543. 64 indexed citations
16.
Kicherer, Anna, Ribana Roscher, Katja Herzog, et al.. (2015). BAT (Berry Analysis Tool): A high-throughput image interpretation tool to acquire the number, diameter, and volume of grapevine berries. Julius Kühn-Institut. 52(3). 129–135. 24 indexed citations
17.
Herzog, Katja, Anna Kicherer, & Reinhard Töpfer. (2015). OBJECTIVE PHENOTYPING THE TIME OF BUD BURST BY ANALYZING GRAPEVINE FIELD IMAGES. Acta Horticulturae. 379–385. 1 indexed citations
18.
Kicherer, Anna, Katja Herzog, Michael Pflanz, et al.. (2015). An Automated Field Phenotyping Pipeline for Application in Grapevine Research. Sensors. 15(3). 4823–4836. 49 indexed citations
19.
Herzog, Katja, et al.. (2015). Initial steps for high-throughput phenotyping in vineyards. Federal Research Centre for Cultivated Plants (Julius Kühn-Institut). 53(1). 1–8. 5 indexed citations
20.
Herzog, Katja, Henryk Flachowsky, H. B. Deising, & Magda‐Viola Hanke. (2012). Heat-shock-mediated elimination of the nptII marker gene in transgenic apple (Malus×domestica Borkh.). Gene. 498(1). 41–49. 26 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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