Sabine Waffenschmidt

2.4k total citations
25 papers, 1.9k citations indexed

About

Sabine Waffenschmidt is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment and Plant Science. According to data from OpenAlex, Sabine Waffenschmidt has authored 25 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Renewable Energy, Sustainability and the Environment and 7 papers in Plant Science. Recurrent topics in Sabine Waffenschmidt's work include Algal biology and biofuel production (10 papers), Photosynthetic Processes and Mechanisms (7 papers) and Glycosylation and Glycoproteins Research (6 papers). Sabine Waffenschmidt is often cited by papers focused on Algal biology and biofuel production (10 papers), Photosynthetic Processes and Mechanisms (7 papers) and Glycosylation and Glycoproteins Research (6 papers). Sabine Waffenschmidt collaborates with scholars based in Germany, United States and Japan. Sabine Waffenschmidt's co-authors include Lothar Jaenicke, Ursula Goodenough, Nico Ullrich, Sunjoo Joo, Gudrun Schröder, Elmar W. Weiler, Joachim Schröder, Jeffrey P. Woessner, Franz‐Josef Marner and Patrick Ferris and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and The Plant Cell.

In The Last Decade

Sabine Waffenschmidt

24 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sabine Waffenschmidt Germany 18 1.2k 678 664 222 188 25 1.9k
David Dauvillée France 29 1.2k 0.9× 867 1.3× 632 1.0× 359 1.6× 287 1.5× 49 2.2k
Kay Marin Germany 28 1.6k 1.3× 554 0.8× 300 0.5× 68 0.3× 297 1.6× 40 2.0k
Daniel Facciotti United States 9 1.1k 0.9× 219 0.3× 760 1.1× 248 1.1× 80 0.4× 15 1.6k
Zanmin Hu China 23 954 0.8× 381 0.6× 1.4k 2.0× 100 0.5× 135 0.7× 71 2.1k
Simon P. Gough Denmark 30 2.5k 2.0× 354 0.5× 1.2k 1.9× 117 0.5× 100 0.5× 63 3.0k
Takao Ojima Japan 28 1.2k 1.0× 177 0.3× 324 0.5× 769 3.5× 224 1.2× 129 2.6k
Yong‐sic Hwang South Korea 23 880 0.7× 177 0.3× 1.1k 1.7× 141 0.6× 55 0.3× 46 1.5k
James R. Kinghorn United Kingdom 27 1.6k 1.3× 108 0.2× 898 1.4× 296 1.3× 192 1.0× 53 2.3k
Koichi Hori Japan 19 783 0.6× 239 0.4× 451 0.7× 89 0.4× 28 0.1× 39 1.3k
William J. Buikema United States 18 1.4k 1.1× 531 0.8× 747 1.1× 77 0.3× 47 0.3× 19 2.6k

Countries citing papers authored by Sabine Waffenschmidt

Since Specialization
Citations

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

Fields of papers citing papers by Sabine Waffenschmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabine Waffenschmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Sabine Waffenschmidt. A scholar is included among the top collaborators of Sabine Waffenschmidt 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 Sabine Waffenschmidt. Sabine Waffenschmidt 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.
Ullrich, Nico, et al.. (2009). Algal Lipid Bodies: Stress Induction, Purification, and Biochemical Characterization in Wild-Type and StarchlessChlamydomonas reinhardtii. Eukaryotic Cell. 8(12). 1856–1868. 452 indexed citations
2.
Hamaji, Takashi, Patrick Ferris, Annette W. Coleman, et al.. (2008). Identification of the Minus-Dominance Gene Ortholog in the Mating-Type Locus of Gonium pectorale. Genetics. 178(1). 283–294. 35 indexed citations
3.
4.
Lee, Jae‐Hyeok, et al.. (2007). Between-Species Analysis of Short-Repeat Modules in Cell Wall and Sex-Related Hydroxyproline-Rich Glycoproteins ofChlamydomonas . PLANT PHYSIOLOGY. 144(4). 1813–1826. 29 indexed citations
5.
Krämer, Reinhard, et al.. (2003). Localization and Function of the Yeast Multidrug Transporter Tpo1p. Journal of Biological Chemistry. 278(15). 12820–12825. 67 indexed citations
6.
Voll, Lars M., Robert Hausler, Rolf Hecker, et al.. (2003). The phenotype of the Arabidopsis cue1 mutant is not simply caused by a general restriction of the shikimate pathway. The Plant Journal. 36(3). 301–317. 85 indexed citations
7.
8.
Ferris, Patrick, et al.. (2001). Glycosylated Polyproline II Rods with Kinks as a Structural Motif in Plant Hydroxyproline-Rich Glycoproteins. Biochemistry. 40(9). 2978–2987. 77 indexed citations
9.
Waffenschmidt, Sabine, et al.. (2000). Mass spectrometric analysis of hydroxyproline glycans. Journal of Mass Spectrometry. 35(6). 689–697. 10 indexed citations
10.
Suzuki, Lena, Jeffrey P. Woessner, Hidenobu Uchida, et al.. (2000). A ZYGOTE‐SPECIFIC PROTEIN WITH HYDROXYPROLINE‐RICH GLYCOPROTEIN DOMAINS AND LECTIN‐LIKE DOMAINS INVOLVED IN THE ASSEMBLY OF THE CELL WALL OF CHLAMYDOMONAS REINHARDTII (CHLOROPHYTA). Journal of Phycology. 36(3). 571–583. 31 indexed citations
11.
Waffenschmidt, Sabine, T Kusch, & Jeffrey P. Woessner. (1999). A Transglutaminase Immunologically Related to Tissue Transglutaminase Catalyzes Cross-Linking of Cell Wall Proteins inChlamydomonas reinhardtii . PLANT PHYSIOLOGY. 121(3). 1003–1015. 47 indexed citations
12.
Waffenschmidt, Sabine, et al.. (1993). Isodityrosine Cross-Linking Mediates Insolubilization of Cell Walls in Chlamydomonas. The Plant Cell. 5(7). 809–809. 10 indexed citations
13.
Waffenschmidt, Sabine, Jeffrey P. Woessner, Katrin Beer, & Ursula Goodenough. (1993). Isodityrosine cross-linking mediates insolubilization of cell walls in Chlamydomonas.. The Plant Cell. 5(7). 809–820. 88 indexed citations
14.
Waffenschmidt, Sabine & Lothar Jaenicke. (1991). Glykoproteine und Pflanzen‐Zellkommunikation. Chemie in unserer Zeit. 25(1). 29–43. 2 indexed citations
15.
Waffenschmidt, Sabine, et al.. (1988). Oligosaccharide side chains of wall molecules are essential for cell-wall lysis in Chlamydomonas reinhardtii. Planta. 175(4). 513–519. 14 indexed citations
16.
Jaenicke, Lothar, et al.. (1987). Cell‐wall lytic enzymes (autolysins) of Chlamydomonas reinhardtii are (hydroxy)proline‐specific proteases. European Journal of Biochemistry. 170(1-2). 485–491. 43 indexed citations
17.
Waffenschmidt, Sabine & Lothar Jaenicke. (1987). Assay of reducing sugars in the nanomole range with 2,2′-bicinchoninate. Analytical Biochemistry. 165(2). 337–340. 260 indexed citations
18.
Marner, Franz‐Josef, et al.. (1985). Tumour genes in plants: T-DNA encoded cytokinin biosynthesis. The EMBO Journal. 4(4). 853–859. 89 indexed citations
19.
Jaenicke, Lothar & Sabine Waffenschmidt. (1981). Liberation of Reproductive Units in Volvox and Chlamydomonas: Proteolytic Processes. Berichte der Deutschen Botanischen Gesellschaft. 94(1). 375–386. 26 indexed citations
20.

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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