M. Veen

566 total citations
10 papers, 399 citations indexed

About

M. Veen is a scholar working on Molecular Biology, Biochemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, M. Veen has authored 10 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Biochemistry and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in M. Veen's work include Plant biochemistry and biosynthesis (5 papers), Lipid metabolism and biosynthesis (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). M. Veen is often cited by papers focused on Plant biochemistry and biosynthesis (5 papers), Lipid metabolism and biosynthesis (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). M. Veen collaborates with scholars based in Germany, Netherlands and Poland. M. Veen's co-authors include Christine Lang, U. Ståhl, Chim C. Lang, Karlheinz Altendorf, Kirsten Jung, Alan W. Schwartz, J. van Pelt, Ulf Ståhl, Ga‐Hee Shin and G. J. F. CHITTENDEN and has published in prestigious journals such as Journal of Biological Chemistry, Applied Microbiology and Biotechnology and Journal of Theoretical Biology.

In The Last Decade

M. Veen

9 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Veen Germany 9 273 47 43 40 37 10 399
Lianet Noda‐García Israel 15 409 1.5× 17 0.4× 37 0.9× 65 1.6× 21 0.6× 23 547
E. Pavlasová Czechia 5 241 0.9× 9 0.2× 46 1.1× 22 0.6× 49 1.3× 15 381
Richard F. Shand United States 15 426 1.6× 19 0.4× 17 0.4× 27 0.7× 12 0.3× 18 602
A Tzagoloff United States 8 891 3.3× 10 0.2× 28 0.7× 26 0.7× 73 2.0× 9 930
José-Luis R. Arrondo Spain 13 357 1.3× 11 0.2× 12 0.3× 8 0.2× 11 0.3× 13 444
Judith A. Waltho Australia 7 280 1.0× 10 0.2× 38 0.9× 8 0.2× 18 0.5× 8 437
Wil N. Konings Netherlands 11 317 1.2× 5 0.1× 56 1.3× 10 0.3× 60 1.6× 12 461
Martine Crasnier France 13 261 1.0× 6 0.1× 181 4.2× 16 0.4× 20 0.5× 23 422
Aashiq H. Kachroo United States 12 524 1.9× 5 0.1× 69 1.6× 23 0.6× 8 0.2× 24 639
Lai-Su Yeh United States 8 237 0.9× 6 0.1× 44 1.0× 9 0.2× 14 0.4× 8 295

Countries citing papers authored by M. Veen

Since Specialization
Citations

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

Fields of papers citing papers by M. Veen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Veen

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

All Works

10 of 10 papers shown
1.
Shin, Ga‐Hee, M. Veen, Ulf Ståhl, & Christine Lang. (2012). Overexpression of genes of the fatty acid biosynthetic pathway leads to accumulation of sterols in Saccharomyces cerevisiae. Yeast. 29(9). 371–383. 32 indexed citations
2.
Lang, Christine & M. Veen. (2005). Interactions of the ergosterol biosynthetic pathway with other lipid pathways. Biochemical Society Transactions. 33(5). 1178–1178. 35 indexed citations
3.
Veen, M. & Christine Lang. (2005). Interactions of the ergosterol biosynthetic pathway with other lipid pathways. Biochemical Society Transactions. 33(5). 1178–1181. 33 indexed citations
4.
Veen, M. & Christine Lang. (2004). Production of lipid compounds in the yeast Saccharomyces cerevisiae. Applied Microbiology and Biotechnology. 63(6). 635–646. 53 indexed citations
5.
Veen, M., U. Ståhl, & Chim C. Lang. (2003). Combined overexpression of genes of the ergosterol biosynthetic pathway leads to accumulation of sterols in. FEMS Yeast Research. 4(1). 87–95. 102 indexed citations
6.
Veen, M., et al.. (2002). Systematische Identifizierung und Öffnen von Engpässen im späten Sterol-Stoffwechsel der Hefe. Chemie Ingenieur Technik. 74(5). 698–698.
7.
Jung, Kirsten, M. Veen, & Karlheinz Altendorf. (2000). K+ and Ionic Strength Directly Influence the Autophosphorylation Activity of the Putative Turgor Sensor KdpD ofEscherichia coli. Journal of Biological Chemistry. 275(51). 40142–40147. 54 indexed citations
8.
Veen, M. & J. van Pelt. (1992). A model for outgrowth of branching neurites. Journal of Theoretical Biology. 159(1). 1–23. 33 indexed citations
9.
Schwartz, Alan W., et al.. (1984). Recent progress in the prebiotic chemistry of HCN. Origins of Life and Evolution of Biospheres. 14(1-4). 91–98. 30 indexed citations
10.
Schwartz, Alan W., M. Veen, Tanya M. Bisseling, & G. J. F. CHITTENDEN. (1975). Prebiotic nucleotide synthesis-demonstration of a geologically plausible pathway. Origins of Life and Evolution of Biospheres. 6(1-2). 163–168. 27 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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