Peter Beutelmann

401 total citations
11 papers, 286 citations indexed

About

Peter Beutelmann is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Peter Beutelmann has authored 11 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Molecular Biology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Peter Beutelmann's work include Lichen and fungal ecology (3 papers), Lipid metabolism and biosynthesis (3 papers) and Bryophyte Studies and Records (3 papers). Peter Beutelmann is often cited by papers focused on Lichen and fungal ecology (3 papers), Lipid metabolism and biosynthesis (3 papers) and Bryophyte Studies and Records (3 papers). Peter Beutelmann collaborates with scholars based in Germany, United States and United Kingdom. Peter Beutelmann's co-authors include Hans Kende, Elmar Hartmann, Gerhard Kohn, David J. Cove, Trevor L. Wang, E. Hartmann, Sten Stymne, Heinz C. Schröder, Vera Gamulin and Sanja Perović and has published in prestigious journals such as PLANT PHYSIOLOGY, FEBS Letters and Phytochemistry.

In The Last Decade

Peter Beutelmann

11 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Beutelmann Germany 10 170 109 102 37 24 11 286
D. des S. Thomas Canada 10 155 0.9× 194 1.8× 54 0.5× 9 0.2× 38 1.6× 26 321
N.K. Ramaswamy India 13 361 2.1× 280 2.6× 31 0.3× 13 0.4× 42 1.8× 34 496
Emmanuelle Pineau France 6 159 0.9× 189 1.7× 45 0.4× 18 0.5× 8 0.3× 8 304
H. Kasemir Germany 16 401 2.4× 400 3.7× 57 0.6× 20 0.5× 75 3.1× 26 524
Ray F. Dawson United States 10 137 0.8× 189 1.7× 43 0.4× 6 0.2× 17 0.7× 25 322
J. Udvardy Hungary 15 219 1.3× 298 2.7× 51 0.5× 18 0.5× 43 1.8× 28 428
I. Dahse Germany 12 407 2.4× 346 3.2× 35 0.3× 13 0.4× 24 1.0× 38 544
Shunji Wada Japan 14 291 1.7× 179 1.6× 76 0.7× 3 0.1× 49 2.0× 29 402
Masato Otagiri Japan 12 45 0.3× 197 1.8× 31 0.3× 14 0.4× 19 0.8× 17 324
Ian D. Railton Canada 16 427 2.5× 288 2.6× 81 0.8× 9 0.2× 10 0.4× 39 563

Countries citing papers authored by Peter Beutelmann

Since Specialization
Citations

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

Fields of papers citing papers by Peter Beutelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Beutelmann

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

All Works

11 of 11 papers shown
1.
Beutelmann, Peter, et al.. (2006). Monstrosities under the inkcap mushrooms. 113–122. 2 indexed citations
2.
Perović, Sanja, Vera Gamulin, Heinz C. Schröder, et al.. (2001). Identification of highly conserved genes: SNZ and SNO in the marine sponge Suberites domuncula: their gene structure and promoter activity in mammalian cells. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1520(1). 21–34. 21 indexed citations
3.
Kohn, Gerhard, Elmar Hartmann, Sten Stymne, & Peter Beutelmann. (1994). Biosynthesis of Acetylenic Fatty Acids in the Moss Ceratodon purpureus (Hedw.) Brid.. Journal of Plant Physiology. 144(3). 265–271. 16 indexed citations
4.
Kohn, Gerhard, et al.. (1988). Acetylenic fatty acids in the ricciaceae (hepaticae). Phytochemistry. 27(4). 1049–1051. 20 indexed citations
5.
Kohn, Gerhard, et al.. (1987). Distribution and chemotaxonomic significance of acetylenic fatty acids in mosses of the dicranales. Phytochemistry. 26(8). 2271–2275. 33 indexed citations
6.
Hartmann, E., et al.. (1986). Moss cell cultures as sources of arachidonic and eicosapentaenoic acids. FEBS Letters. 198(1). 51–55. 36 indexed citations
7.
Wang, Trevor L., Peter Beutelmann, & David J. Cove. (1981). Cytokinin Biosynthesis in Mutants of the Moss Physcomitrella patens. PLANT PHYSIOLOGY. 68(3). 739–744. 27 indexed citations
8.
Wang, Trevor L., David J. Cove, Peter Beutelmann, & Elmar Hartmann. (1980). Isopentenyladenine from mutants of the moss, Physcomitrella patens. Phytochemistry. 19(6). 1103–1105. 31 indexed citations
9.
Beutelmann, Peter, et al.. (1977). Purification and identification of a cytokinin from moss callus cells. Planta. 133(3). 215–217. 33 indexed citations
10.
Beutelmann, Peter & Hans Kende. (1977). Membrane Lipids in Senescing Flower Tissue of Ipomoea tricolor. PLANT PHYSIOLOGY. 59(5). 888–893. 58 indexed citations
11.
Beutelmann, Peter. (1973). Untersuchungen zur Biosynthese eines Cytokinins in Calluszellen von Laubmoossporophyten. Planta. 112(2). 181–190. 9 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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