Markus Herderich

7.5k total citations
150 papers, 5.8k citations indexed

About

Markus Herderich is a scholar working on Food Science, Plant Science and Molecular Biology. According to data from OpenAlex, Markus Herderich has authored 150 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Food Science, 67 papers in Plant Science and 52 papers in Molecular Biology. Recurrent topics in Markus Herderich's work include Fermentation and Sensory Analysis (78 papers), Horticultural and Viticultural Research (56 papers) and Phytochemicals and Antioxidant Activities (37 papers). Markus Herderich is often cited by papers focused on Fermentation and Sensory Analysis (78 papers), Horticultural and Viticultural Research (56 papers) and Phytochemicals and Antioxidant Activities (37 papers). Markus Herderich collaborates with scholars based in Australia, Germany and France. Markus Herderich's co-authors include Paul A. Smith, Robert G. Dambergs, Mango Parker, I. Leigh Francis, Peter Schreier, Yoji Hayasaka, Kevin H. Pardon, Keren A. Bindon, Meagan D. Mercurio and Daniel Cozzolino and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Gastroenterology.

In The Last Decade

Markus Herderich

146 papers receiving 5.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Herderich Australia 46 3.7k 3.1k 1.6k 1.5k 537 150 5.8k
Mark A. Sefton Australia 44 3.6k 1.0× 2.5k 0.8× 1.3k 0.8× 1.1k 0.8× 363 0.7× 93 4.4k
Eduardo Dellacassa Uruguay 37 3.3k 0.9× 2.4k 0.8× 1.0k 0.6× 1.1k 0.7× 322 0.6× 173 4.6k
Urška Vrhovšek Italy 56 3.8k 1.0× 4.3k 1.4× 3.4k 2.1× 3.3k 2.2× 252 0.5× 259 9.4k
David W. Jeffery Australia 40 3.8k 1.0× 2.8k 0.9× 1.4k 0.9× 761 0.5× 693 1.3× 157 4.9k
A. C. Silva Ferreira Portugal 35 2.1k 0.6× 1.5k 0.5× 1.1k 0.7× 872 0.6× 146 0.3× 89 3.6k
Sylvain Guyot France 43 2.9k 0.8× 2.4k 0.8× 3.3k 2.0× 1.2k 0.9× 47 0.1× 111 6.1k
Sonia Collin Belgium 43 3.3k 0.9× 1.3k 0.4× 1.3k 0.8× 823 0.6× 42 0.1× 190 4.8k
Russell L. Rouseff United States 45 2.3k 0.6× 1.9k 0.6× 1.8k 1.1× 1.4k 0.9× 26 0.0× 127 5.5k
C. W. Nagel United States 27 1.4k 0.4× 1.6k 0.5× 1.0k 0.6× 1.0k 0.7× 76 0.1× 96 3.2k
Raymond Brouillard France 38 2.4k 0.7× 1.9k 0.6× 3.7k 2.3× 1.6k 1.1× 30 0.1× 83 6.3k

Countries citing papers authored by Markus Herderich

Since Specialization
Citations

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

Fields of papers citing papers by Markus Herderich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Herderich

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Herderich. A scholar is included among the top collaborators of Markus Herderich 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 Markus Herderich. Markus Herderich 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.
Huo, Yiming, et al.. (2025). Optimizing the use of membrane filtration for the amelioration of smoke tainted wine. Food Chemistry. 479. 143704–143704. 2 indexed citations
2.
Parker, Mango, et al.. (2025). Bottle Aging of Smoke-Affected Wines: Changes in Smoke Flavor and Chemical Composition. Journal of Agricultural and Food Chemistry. 73(3). 2114–2123.
3.
Parker, Mango, et al.. (2024). Prevalence of Wildfire Smoke Exposure Markers in Oaked Commercial Wine. American Journal of Enology and Viticulture. 75(1). 750017–750017. 1 indexed citations
4.
Geffroy, Olivier, et al.. (2024). How do Syrah winemakers from two different French regions conceptualise peppery wines?. OENO One. 58(1). 1 indexed citations
5.
Parker, Mango, et al.. (2024). Smoky Characters in Wine: Distinctive Flavor or Taint?. Journal of Agricultural and Food Chemistry. 72(17). 9581–9586. 3 indexed citations
6.
Parker, Mango, et al.. (2023). Modelling Smoke Flavour in Wine from Chemical Composition of Smoke-Exposed Grapes and Wine. Australian Journal of Grape and Wine Research. 2023. 1–14. 11 indexed citations
7.
Culbert, Julie A., et al.. (2023). Consumer response to wine made from smoke-affected grapes. OENO One. 57(2). 417–430. 6 indexed citations
8.
Parker, Mango, et al.. (2022). The Effect of Pre-Veraison Smoke Exposure of Grapes on Phenolic Compounds and Smoky Flavour in Wine. Australian Journal of Grape and Wine Research. 2022. 1–15. 8 indexed citations
9.
Baldock, Gayle A., et al.. (2022). Concentration of smoke marker compounds in non‐smoke‐exposed grapes and wine in Australia. Australian Journal of Grape and Wine Research. 28(3). 459–474. 20 indexed citations
10.
11.
Parker, Mango, Cristóbal A. Onetto, Anthony R. Borneman, et al.. (2019). Factors Contributing to Interindividual Variation in Retronasal Odor Perception from Aroma Glycosides: The Role of Odorant Sensory Detection Threshold, Oral Microbiota, and Hydrolysis in Saliva. Journal of Agricultural and Food Chemistry. 68(38). 10299–10309. 34 indexed citations
12.
Siebert, Tracey, Alice Barker, Wes Pearson, et al.. (2018). Volatile Compounds Related to ‘Stone Fruit’ Aroma Attributes in Viognier and Chardonnay Wines. Journal of Agricultural and Food Chemistry. 66(11). 2838–2850. 56 indexed citations
13.
Parker, Mango, Dimitra L. Capone, I. Leigh Francis, & Markus Herderich. (2017). Aroma Precursors in Grapes and Wine: Flavor Release during Wine Production and Consumption. Journal of Agricultural and Food Chemistry. 66(10). 2281–2286. 89 indexed citations
14.
Curtin, Chris, et al.. (2014). Staying a step ahead of ‘Brett’. 8. 1 indexed citations
15.
Parker, Mango, Gayle A. Baldock, Yoji Hayasaka, et al.. (2013). Seeing through smoke. Research Padua Archive (University of Padua). 7. 4 indexed citations
16.
Gawel, Richard, et al.. (2013). The science of texture. 4. 1 indexed citations
17.
Dambergs, Robert G., Angela M. Sparrow, Anna L. Carew, et al.. (2012). Quality in a cool climate - maceration techniques in Pinot Noir production. eCite Digital Repository (University of Tasmania). 18–26. 12 indexed citations
18.
Curtin, Chris, Jennifer R. Bellon, Eveline Bartowsky, et al.. (2011). Harnessing AWRI's yeast and bacterial research to shape " next-gen" Chardonnay Part 1: " Wild" and " non-conventional" yeast. 15–20. 2 indexed citations
19.
Smith, Paul A., et al.. (2007). Red grape and wine quality - the roles and relevance of tannin. eCite Digital Repository (University of Tasmania). 4 indexed citations
20.
Francis, I. Leigh, Pham Van Hoi, Mark Gishen, et al.. (2005). Objective measures of grape quality - are they achievable?. eCite Digital Repository (University of Tasmania). 13 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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