M. Veen

570 citations
10 papers · 399 · h-index 9

Impact in

    • Lipid metabolism and biosynthesis
    • Microbial Metabolic Engineering and Bioproduction
    • Plant biochemistry and biosynthesis
    • Fungal and yeast genetics research
    • Enzyme Catalysis and Immobilization

Papers in

    • Plant biochemistry and biosynthesis 5
    • Microbial Metabolic Engineering and Bioproduction 4
    • Protein Structure and Dynamics 2
    • Fungal and yeast genetics research 1
    • Plant Reproductive Biology 1
    • Lipid metabolism and biosynthesis 4

M. Veen

9 papers receiving 389 citations

Peers

M. Veen
Comparison fields: 5 of 71
  • Biochemistry 36
  • Molecular Biology 261
  • Astronomy and Astrophysics 47
  • Pharmacology 37
  • Horticulture 2
Replace Lianet Noda‐García with:
Lianet Noda‐García Israel
E. Pavlasová Czechia
A Tzagoloff United States
Martine Crasnier France
Richard F. Shand United States
Annick Graziana France
Patricia Moussatche United States
José-Luis R. Arrondo Spain
Krzysztof Nowotarski United States
Wil N. Konings Netherlands
M. Veen relative to Lianet Noda‐García Israel Lianet Noda‐García's profile →
Citations per field
00.5×2.8×
Lianet Noda‐García · 1×
Citations per year

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-authors

The 11 scholars most cited alongside M. Veen, 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 M. Veen Line = papers co-authored together M. Veen links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2003103
2 200054
3 200452
4 200535
5 200533
6 199233
7 201232
8 198430
9 197527
10 20020

About M. Veen

M. Veen is a scholar working on Molecular Biology, Biochemistry, Cellular and Molecular Neuroscience, Astronomy and Astrophysics and Cell Biology, having authored 10 papers that have together received 399 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (5 papers), Lipid metabolism and biosynthesis (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Protein Structure and Dynamics (2 papers), Origins and Evolution of Life (2 papers), Fungal and yeast genetics research (1 paper), Photoreceptor and optogenetics research (1 paper) and Plant Reproductive Biology (1 paper). The work is most often cited by research in Biochemistry (36 citations), Molecular Biology (261 citations), Astronomy and Astrophysics (47 citations), Pharmacology (37 citations) and Horticulture (2 citations). M. Veen has collaborated with scholars based in Germany, Netherlands and South Korea. Frequent co-authors include Christine Lang, Chim C. Lang, U. Ståhl, Karlheinz Altendorf, Kirsten Jung, Alan W. Schwartz, J. van Pelt, Ulf Ståhl, Ga‐Hee Shin and Tanya M. Bisseling. Their work appears in journals such as Biochemical Society Transactions, Origins of Life and Evolution of Biospheres, Applied Microbiology and Biotechnology, Yeast and Journal of Biological Chemistry.

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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