Rosmarie Rippka

12.4k total citations · 2 hit papers
34 papers, 8.9k citations indexed

About

Rosmarie Rippka is a scholar working on Molecular Biology, Ecology and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Rosmarie Rippka has authored 34 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Ecology and 13 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Rosmarie Rippka's work include Microbial Community Ecology and Physiology (18 papers), Algal biology and biofuel production (13 papers) and Protist diversity and phylogeny (10 papers). Rosmarie Rippka is often cited by papers focused on Microbial Community Ecology and Physiology (18 papers), Algal biology and biofuel production (13 papers) and Protist diversity and phylogeny (10 papers). Rosmarie Rippka collaborates with scholars based in France, Germany and United States. Rosmarie Rippka's co-authors include Michael Herdman, John Waterbury, Roger Y. Stanier, Nicole Tandeau de Marsac, Isabelle Iteman, Alasdair H. Neilson, Riyo Kunisawa, Wilhelm Schönhuber, Rudolf Amann and Jean Houmard and has published in prestigious journals such as Applied and Environmental Microbiology, New Phytologist and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Rosmarie Rippka

33 papers receiving 8.4k citations

Hit Papers

Generic Assignments, Strain Histories and Properties of P... 1979 2026 1994 2010 1979 1988 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rosmarie Rippka France 23 4.1k 3.7k 2.8k 2.7k 2.3k 34 8.9k
Michael Herdman United Kingdom 27 4.0k 1.0× 3.6k 1.0× 2.4k 0.9× 2.5k 0.9× 2.3k 1.0× 60 8.9k
Aaron Kaplan Israel 54 5.4k 1.3× 4.1k 1.1× 2.1k 0.8× 2.5k 0.9× 2.0k 0.9× 164 9.9k
Donat‐P. Häder Germany 47 2.0k 0.5× 3.4k 0.9× 1.8k 0.7× 2.5k 0.9× 3.8k 1.7× 223 9.7k
Enrique Flores Spain 55 7.1k 1.7× 3.7k 1.0× 3.9k 1.4× 1.2k 0.4× 1.7k 0.7× 189 9.4k
Makoto M. Watanabe Japan 44 1.9k 0.5× 2.0k 0.5× 2.0k 0.7× 2.8k 1.0× 1.3k 0.6× 270 6.8k
Martin Hagemann Germany 55 7.5k 1.8× 4.2k 1.1× 3.0k 1.1× 1.4k 0.5× 1.9k 0.8× 228 10.6k
W. D. P. Stewart United Kingdom 50 3.1k 0.8× 3.4k 0.9× 2.6k 1.0× 2.3k 0.8× 2.1k 0.9× 197 9.4k
C. Peter Wölk United States 53 6.3k 1.5× 3.7k 1.0× 3.3k 1.2× 943 0.3× 1.7k 0.8× 147 8.7k
Antonia Herrero Spain 52 5.8k 1.4× 3.0k 0.8× 3.4k 1.2× 941 0.3× 1.3k 0.6× 140 7.7k
Nicole Tandeau de Marsac France 49 4.4k 1.1× 2.4k 0.7× 2.3k 0.8× 1.7k 0.6× 1.7k 0.7× 108 6.9k

Countries citing papers authored by Rosmarie Rippka

Since Specialization
Citations

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

Fields of papers citing papers by Rosmarie Rippka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosmarie Rippka

This figure shows the co-authorship network connecting the top 25 collaborators of Rosmarie Rippka. A scholar is included among the top collaborators of Rosmarie Rippka 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 Rosmarie Rippka. Rosmarie Rippka 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.
Lara, Yannick, Luc Cornet, Rosmarie Rippka, et al.. (2017). Draft Genome Sequence of the Axenic Strain Phormidesmis priestleyi ULC007, a Cyanobacterium Isolated from Lake Bruehwiler (Larsemann Hills, Antarctica). Genome Announcements. 5(7). 12 indexed citations
3.
Dagan, Tal, Mayo Roettger, Karina Stucken, et al.. (2012). Genomes of Stigonematalean Cyanobacteria (Subsection V) and the Evolution of Oxygenic Photosynthesis from Prokaryotes to Plastids. Genome Biology and Evolution. 5(1). 31–44. 177 indexed citations
4.
Huege, Jan, Leonard Krall, Patrick Giavalisco, et al.. (2011). Sample amount alternatives for data adjustment in comparative cyanobacterial metabolomics. Analytical and Bioanalytical Chemistry. 399(10). 3503–3517. 27 indexed citations
5.
Aráoz, Rómulo, Michael Herdman, Rosmarie Rippka, et al.. (2008). A non-radioactive ligand-binding assay for detection of cyanobacterial anatoxins using Torpedo electrocyte membranes. Toxicon. 52(1). 163–174. 15 indexed citations
6.
Aráoz, Rómulo, Vincent Guérineau, Rosmarie Rippka, et al.. (2008). MALDI-TOF-MS detection of the low molecular weight neurotoxins anatoxin-a and homoanatoxin-a on lyophilized and fresh filaments of axenic Oscillatoria strains. Toxicon. 51(7). 1308–1315. 14 indexed citations
7.
Cadel-Six, Sabrina, et al.. (2007). Different Genotypes of Anatoxin-Producing Cyanobacteria Coexist in the Tarn River, France. Applied and Environmental Microbiology. 73(23). 7605–7614. 100 indexed citations
8.
Comte, Katia, et al.. (2004). Assessment of genotypic identity of cyanobacterial strains in culture collections using HIP1-based primers. Nova Hedwigia. 79(1-2). 293–311. 3 indexed citations
9.
Hernández‐Mariné, Mariona, et al.. (2003). Structural and ultrastructural characterization of Symploca atlantica Gomont, strain PCC 8002 (Oscillatoriales, Cyanophyta, Cyanobacteria). Algological Studies/Archiv für Hydrobiologie Supplement Volumes. 109. 509–524. 4 indexed citations
10.
Day, John, Erica E. Benson, Keith Harding, et al.. (2003). The use of cryopreservation to develop a European scientific and biotechnological resource: the COBRA project.. 1 indexed citations
12.
Christiansen, Guntram, et al.. (2001). Nonribosomal peptide synthetase genes occur in most cyanobacterial genera as evidenced by their distribution in axenic strains of the PCC. Archives of Microbiology. 176(6). 452–458. 46 indexed citations
14.
Herdman, Michael, et al.. (2000). A New Appraisal of the Prokaryotic Origin of Eukaryotic Phytochromes. Journal of Molecular Evolution. 51(3). 205–213. 40 indexed citations
15.
Mann, Nicholas H., Rosmarie Rippka, & Michael Herdman. (1991). Regulation of protein phosphorylation in the cyanobacterium Anabaena strain PCC 7120. Microbiology. 137(2). 331–339. 19 indexed citations
16.
Rippka, Rosmarie. (1988). [1] Isolation and purification of cyanobacteria. Methods in enzymology on CD-ROM/Methods in enzymology. 167. 3–27. 747 indexed citations breakdown →
17.
Rippka, Rosmarie, et al.. (1985). Chromatic adaptation in a mutant of Fremyella diplosiphon incapable of phycoerythrin synthesis. Biochimie. 67(1). 109–117. 9 indexed citations
18.
Kallas, Toivo, et al.. (1985). Different organization of nif genes in nonheterocystous and heterocystous cyanobacteria. Plant Molecular Biology. 5(5). 321–329. 46 indexed citations
19.
Rippka, Rosmarie, et al.. (1979). Generic Assignments, Strain Histories and Properties of Pure Cultures of Cyanobacteria. Microbiology. 111(1). 1–61. 6431 indexed citations breakdown →
20.
Neilson, Alasdair H., Rosmarie Rippka, & Riyo Kunisawa. (1971). Heterocyst formation and nitrogenase synthesis in Anabaena sp.. Archives of Microbiology. 76(2). 139–150. 86 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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