M. Grossmann

685 total citations
24 papers, 515 citations indexed

About

M. Grossmann is a scholar working on Food Science, Plant Science and Molecular Biology. According to data from OpenAlex, M. Grossmann has authored 24 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Food Science, 13 papers in Plant Science and 9 papers in Molecular Biology. Recurrent topics in M. Grossmann's work include Fermentation and Sensory Analysis (15 papers), Horticultural and Viticultural Research (10 papers) and Food Quality and Safety Studies (4 papers). M. Grossmann is often cited by papers focused on Fermentation and Sensory Analysis (15 papers), Horticultural and Viticultural Research (10 papers) and Food Quality and Safety Studies (4 papers). M. Grossmann collaborates with scholars based in Germany, South Africa and Australia. M. Grossmann's co-authors include Doris Rauhut, Sylvia Schnell, Friedrich K. Zimmermann, Christian von Wallbrunn, Maret du Toit, Stefanie Fritsch, Isak S. Pretorius, Niël van Wyk, Jürgen Wendland and Matthias Schmitt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Journal of Agricultural and Food Chemistry.

In The Last Decade

M. Grossmann

24 papers receiving 498 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. Grossmann Germany 13 376 274 161 84 82 24 515
Juan Francisco Úbeda Iranzo Spain 9 353 0.9× 254 0.9× 110 0.7× 130 1.5× 105 1.3× 15 440
Christopher D. Curtin Australia 12 490 1.3× 279 1.0× 180 1.1× 95 1.1× 89 1.1× 13 542
Lydia Mingorance‐Cazorla Spain 7 418 1.1× 326 1.2× 173 1.1× 64 0.8× 81 1.0× 8 554
Carmen Ancı́n Azpilicueta Spain 11 378 1.0× 236 0.9× 146 0.9× 60 0.7× 117 1.4× 19 458
Yann Vasserot France 13 353 0.9× 252 0.9× 220 1.4× 122 1.5× 121 1.5× 22 552
Sylvester Holt Belgium 9 462 1.2× 265 1.0× 166 1.0× 99 1.2× 94 1.1× 14 549
Francisco M. Carrau Uruguay 9 493 1.3× 343 1.3× 196 1.2× 97 1.2× 114 1.4× 11 580
I. Magyar Hungary 10 384 1.0× 275 1.0× 121 0.8× 47 0.6× 76 0.9× 17 460
Juan Úbeda Spain 15 504 1.3× 374 1.4× 196 1.2× 84 1.0× 109 1.3× 39 653
Gustav Styger South Africa 5 621 1.7× 356 1.3× 211 1.3× 94 1.1× 156 1.9× 6 710

Countries citing papers authored by M. Grossmann

Since Specialization
Citations

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

Fields of papers citing papers by M. Grossmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Grossmann. A scholar is included among the top collaborators of M. Grossmann 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. Grossmann. M. Grossmann 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.
2.
Reif, Albert, et al.. (2021). Pădurile virgine în inima Europei. Importanța, situația curentă și viitorul pădurilor virgine ale României. SHILAP Revista de lepidopterología. 21(1). 105–126. 1 indexed citations
3.
Leuschner, Christoph, et al.. (2021). Urwälder, Natur- und Wirtschaftswälder im Kontext von Biodiversitäts- und Klimaschutz - Teil 2: Das Narrativ von der Klimaneutralität der Ressource Holz. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 53(1). 22–35. 1 indexed citations
4.
5.
Schmitt, Matthias, et al.. (2016). The use of glucose oxidase and catalase for the enzymatic reduction of the potential ethanol content in wine. Food Chemistry. 210. 660–670. 57 indexed citations
6.
Grossmann, M., et al.. (2016). Usage of different aerobic non-Saccharomyces yeasts and experimental conditions as a tool for reducing the potential ethanol content in wines. European Food Research and Technology. 242(12). 2051–2070. 37 indexed citations
7.
Morge, Christophe, et al.. (2014). Yeast protein extracts: an alternative fining agent for red wines. European Food Research and Technology. 240(4). 689–699. 12 indexed citations
8.
Smit, Inga, et al.. (2013). Influence of etiological measures on biogenic amines in wine.. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 63(3). 139–158. 2 indexed citations
9.
Smit, Inga, et al.. (2013). Nitrogen fertilisation increases biogenic amines and amino acid concentrations in Vitis vinifera var. Riesling musts and wines. Journal of the Science of Food and Agriculture. 94(10). 2064–2072. 21 indexed citations
10.
Fritsch, Stefanie, et al.. (2011). Influence of pH and ethanol on malolactic fermentation and volatile aroma compound composition in white wines. LWT. 44(10). 2077–2086. 63 indexed citations
11.
Fritsch, Stefanie, Sylvia Schnell, M. Grossmann, et al.. (2011). Impact of different malolactic fermentation inoculation scenarios on Riesling wine aroma. World Journal of Microbiology and Biotechnology. 28(3). 1143–1153. 60 indexed citations
12.
Grossmann, M., et al.. (2010). Genetically modified wine yeasts and risk assessment studies covering different steps within the wine making process. Annals of Microbiology. 61(1). 103–115. 20 indexed citations
13.
Grossmann, M., et al.. (2006). Influence of grape treatment on the wine yeast populations isolated from spontaneous fermentations. Journal of Applied Microbiology. 101(6). 1241–1248. 16 indexed citations
14.
Remize, Fabienne, et al.. (2000). Effects of enhanced glycerol production on yeast activity and fermentation flavour. Dialnet (Universidad de la Rioja). 61–67. 1 indexed citations
15.
Rauhut, Doris, et al.. (2000). INFLUENCE OF NITROGEN SUPPLY IN THE GRAPE MUST ON THE FERMENTATION CAPACITY AND THE QUALITY OF WINE. Acta Horticulturae. 93–100. 3 indexed citations
16.
Pretorius, Isak S. & M. Grossmann. (1999). Verfahren zur identifizierung von weinhefen und verbesserung der eigenschaften von Saccharomyces cerevisiae. Dialnet (Universidad de la Rioja). 54(2). 61–72. 3 indexed citations
17.
Rapp, A., et al.. (1997). Use of oligo-strain yeast cultures to increase complexity of wine aroma. Dialnet (Universidad de la Rioja). 53–56. 7 indexed citations
18.
Grossmann, M.. (1980). The use of phenylmethylsulfonyl fluoride in the study of catabolite inactivation and repression in intact cells of Saccharomyces cerevisiae. Archives of Microbiology. 124-124(2-3). 293–295. 2 indexed citations
19.
Grossmann, M. & Friedrich K. Zimmermann. (1979). The structural genes of internal invertases in Saccharomyces cerevisiae. Molecular and General Genetics MGG. 175(2). 223–229. 51 indexed citations
20.
Grossmann, M., et al.. (1966). [Conprehensive understanding of cell and cell-volume changes in oral and gynecologic cytology].. PubMed. 161(3). 252–64. 3 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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