Sabine Waffenschmidt

2.4k citations
25 papers · 1.9k · h-index 18

Impact in

Papers in

Sabine Waffenschmidt

24 papers receiving 1.8k citations

Peers

Sabine Waffenschmidt
Comparison fields: 5 of 97
  • Renewable Energy, Sustainability and the Environment 671
  • Biotechnology 222
  • Biochemistry 138
  • Molecular Biology 1.2k
  • Plant Science 655
Replace David Dauvillée with:
David Dauvillée France
Kay Marin Germany
Daniel Facciotti United States
Koichi Hori Japan
Zanmin Hu China
Gustavo Raúl Daleo Argentina
Karin Kovar Switzerland
James R. Kinghorn United Kingdom
Christophe d’Hulst France
William J. Buikema United States
Sabine Waffenschmidt relative to David Dauvillée France David Dauvillée's profile →
Citations per field
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David Dauvillée · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sabine Waffenschmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sabine Waffenschmidt Line = papers co-authored together Sabine Waffenschmidt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009452
2 1984269
3 1987260
4 198589
5 199388
6 200386
7 200177
8 200369
9 200767
10 200564
11 199947
12 198743
13 200142
14 200835
15 200031
16 200729
17 198126
18 197917
19 198814
20 200213

About Sabine Waffenschmidt

Sabine Waffenschmidt is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment, Plant Science, Food Science and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Algal biology and biofuel production (10 papers), Photosynthetic Processes and Mechanisms (7 papers), Glycosylation and Glycoproteins Research (6 papers), Polysaccharides and Plant Cell Walls (2 papers), Plant Reproductive Biology (2 papers), Transgenic Plants and Applications (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (671 citations), Biotechnology (222 citations), Biochemistry (138 citations), Molecular Biology (1.2k citations) and Plant Science (655 citations). Sabine Waffenschmidt has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Lothar Jaenicke, Ursula Goodenough, Sunjoo Joo, Nico Ullrich, Gudrun Schröder, Elmar W. Weiler, Joachim Schröder, Jeffrey P. Woessner, Franz‐Josef Marner and Patrick Ferris. Their work appears in journals such as PLANT PHYSIOLOGY, The Plant Cell, Journal of Mass Spectrometry, European Journal of Biochemistry and Genetics.

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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