Markus Straubinger

654 total citations
9 papers, 515 citations indexed

About

Markus Straubinger is a scholar working on Molecular Biology, Oncology and Plant Science. According to data from OpenAlex, Markus Straubinger has authored 9 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Plant Science. Recurrent topics in Markus Straubinger's work include Plant biochemistry and biosynthesis (5 papers), Saffron Plant Research Studies (4 papers) and Phytochemistry and Biological Activities (4 papers). Markus Straubinger is often cited by papers focused on Plant biochemistry and biosynthesis (5 papers), Saffron Plant Research Studies (4 papers) and Phytochemistry and Biological Activities (4 papers). Markus Straubinger collaborates with scholars based in Germany, Japan and Russia. Markus Straubinger's co-authors include Peter Winterhalter, Naoharu Watanabe, Holger Knapp, Reiner Waibel, Magnus Jezussek, Brigitte Bau, Susanne Eckstein, Shuzo Watanabe, Tatsuo Asai and Kentaro Hayashi and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Bioscience Biotechnology and Biochemistry and Food Reviews International.

In The Last Decade

Markus Straubinger

9 papers receiving 472 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 Straubinger Germany 9 337 219 158 133 76 9 515
G. Tsoupras Greece 8 279 0.8× 148 0.7× 135 0.9× 74 0.6× 22 0.3× 10 532
Shuailing Li China 8 101 0.3× 115 0.5× 85 0.5× 128 1.0× 26 0.3× 9 350
C. Priscila del Campo Spain 8 347 1.0× 72 0.3× 192 1.2× 76 0.6× 36 0.5× 8 440
Ailian Zhang China 13 50 0.1× 263 1.2× 181 1.1× 200 1.5× 43 0.6× 26 569
Weihua Zhu China 12 82 0.2× 344 1.6× 141 0.9× 159 1.2× 8 0.1× 22 455
M. Goleniowski Argentina 9 40 0.1× 221 1.0× 69 0.4× 190 1.4× 36 0.5× 26 380
Hasan Çetin Özen Türkiye 14 71 0.2× 156 0.7× 77 0.5× 223 1.7× 40 0.5× 29 371
Saeed Abedimanesh Iran 6 112 0.3× 84 0.4× 85 0.5× 49 0.4× 29 0.4× 6 364
Akira Akahori Japan 11 48 0.1× 331 1.5× 107 0.7× 72 0.5× 16 0.2× 36 479
Man‐Li Zhang China 9 53 0.2× 154 0.7× 55 0.3× 176 1.3× 70 0.9× 26 401

Countries citing papers authored by Markus Straubinger

Since Specialization
Citations

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

Fields of papers citing papers by Markus Straubinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Straubinger

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Straubinger. A scholar is included among the top collaborators of Markus Straubinger 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 Straubinger. Markus Straubinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Watanabe, Shuzo, Kentaro Hayashi, Tatsuo Asai, et al.. (2001). Isolation and Identification of 2-Phenylethyl Disaccharide Glycosides and Mono Glycosides from Rose Flowers, and Their Potential Role in Scent Formation. Bioscience Biotechnology and Biochemistry. 65(2). 442–445. 28 indexed citations
2.
Winterhalter, Peter & Markus Straubinger. (2000). SAFFRON—RENEWED INTEREST IN AN ANCIENT SPICE. Food Reviews International. 16(1). 39–59. 259 indexed citations
3.
Straubinger, Markus, et al.. (1999). Three Novel Eugenol Glycosides From Rose Flowers, Rosa Damascena Mill. Natural product letters. 13(1). 5–10. 17 indexed citations
4.
Knapp, Holger, et al.. (1998). (S)-3,7-Dimethyl-5-octene-1,7-diol and Related Oxygenated Monoterpenoids from Petals of Rosa damascena Mill.. Journal of Agricultural and Food Chemistry. 46(5). 1966–1970. 59 indexed citations
5.
Watanabe, Naoharu, et al.. (1998). Occurrence of A Glucosidic Progenitor of Rose Oxide In Rose Flowers, Rosa Damascena Mill. Natural product letters. 12(1). 5–10. 8 indexed citations
6.
Straubinger, Markus, et al.. (1998). Identification of Novel Glycosidic Aroma Precursors in Saffron (Crocus sativus L.). Journal of Agricultural and Food Chemistry. 46(8). 3238–3243. 59 indexed citations
7.
Straubinger, Markus, Magnus Jezussek, Reiner Waibel, & Peter Winterhalter. (1997). Two Kaempferol Sophorosides from Crocus Sativus. Natural product letters. 10(3). 213–216. 22 indexed citations
8.
Straubinger, Markus, et al.. (1997). Isolation of a Glucosidic β-Damascenone Precursor from Rose Petals. Journal of Agricultural and Food Chemistry. 45(10). 4053–4056. 22 indexed citations
9.
Straubinger, Markus, Magnus Jezussek, Reiner Waibel, & Peter Winterhalter. (1997). Novel Glycosidic Constituents from Saffron. Journal of Agricultural and Food Chemistry. 45(5). 1678–1681. 41 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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