M.A.G. van Kleef

435 total citations
10 papers, 345 citations indexed

About

M.A.G. van Kleef is a scholar working on Molecular Biology, Biochemistry and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, M.A.G. van Kleef has authored 10 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Biochemistry and 2 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in M.A.G. van Kleef's work include Microbial metabolism and enzyme function (9 papers), Enzyme Catalysis and Immobilization (4 papers) and Porphyrin Metabolism and Disorders (3 papers). M.A.G. van Kleef is often cited by papers focused on Microbial metabolism and enzyme function (9 papers), Enzyme Catalysis and Immobilization (4 papers) and Porphyrin Metabolism and Disorders (3 papers). M.A.G. van Kleef collaborates with scholars based in Netherlands and United States. M.A.G. van Kleef's co-authors include Johannis A. Duine, Barend W. Groen, J. E. van Wielink, J. A. Jongejan, Johannes Frank, Marcellus Ubbink, J.A. Duine, Jaap J. Beintema, Gerard W. Canters and Carla W. G. Hoitink and has published in prestigious journals such as Analytical Biochemistry, Biochemical Journal and FEBS Letters.

In The Last Decade

M.A.G. van Kleef

10 papers receiving 328 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.A.G. van Kleef Netherlands 8 318 111 35 32 28 10 345
Barend W. Groen Netherlands 12 352 1.1× 127 1.1× 61 1.7× 31 1.0× 20 0.7× 13 401
Johannis A. Duine Netherlands 10 336 1.1× 100 0.9× 53 1.5× 24 0.8× 44 1.6× 12 406
J.A. Duine Netherlands 7 478 1.5× 201 1.8× 101 2.9× 50 1.6× 37 1.3× 8 530
Edward Bellion United States 14 362 1.1× 165 1.5× 8 0.2× 29 0.9× 63 2.3× 27 481
Masahiko Goda Japan 9 297 0.9× 64 0.6× 17 0.5× 11 0.3× 61 2.2× 11 385
H. Hackenberg Germany 8 344 1.1× 44 0.4× 17 0.5× 37 1.2× 32 1.1× 9 468
I. Lucile Norton United States 11 316 1.0× 105 0.9× 26 0.7× 12 0.4× 112 4.0× 19 424
Koichiro Ryuno Japan 6 320 1.0× 82 0.7× 29 0.8× 22 0.7× 28 1.0× 9 369
Anna Moseler Germany 12 489 1.5× 84 0.8× 81 2.3× 61 1.9× 43 1.5× 21 716
Melanie Schürmann Germany 10 365 1.1× 163 1.5× 20 0.6× 11 0.3× 128 4.6× 12 564

Countries citing papers authored by M.A.G. van Kleef

Since Specialization
Citations

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

Fields of papers citing papers by M.A.G. van Kleef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A.G. van Kleef. 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.A.G. van Kleef. The network helps show where M.A.G. van Kleef may publish in the future.

Co-authorship network of co-authors of M.A.G. van Kleef

This figure shows the co-authorship network connecting the top 25 collaborators of M.A.G. van Kleef. A scholar is included among the top collaborators of M.A.G. van Kleef 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.A.G. van Kleef. M.A.G. van Kleef 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.
Ubbink, Marcellus, M.A.G. van Kleef, Dirk‐Jan Kleinjan, et al.. (1991). Cloning, sequencing and expression studies of the genes encoding amicyanin and the β‐subunit of methylamine dehydrogenase from Thiobacillus versutus. European Journal of Biochemistry. 202(3). 1003–1012. 39 indexed citations
2.
Ubbink, Marcellus, M.A.G. van Kleef, Carla W. G. Hoitink, et al.. (1991). Genetic analysis of the methylamine redox chain from Thiobacillus versutus. Journal of Inorganic Biochemistry. 43(2-3). 514–514. 1 indexed citations
3.
Groen, Barend W., et al.. (1990). [41] Isolation, preparation, and assay of pyrroloquinoline quinone. Methods in enzymology on CD-ROM/Methods in enzymology. 188. 260–283. 40 indexed citations
4.
Houck, David R., John L. Hanners, Clifford J. Ünkefer, M.A.G. van Kleef, & Johannis A. Duine. (1989). PQQ: Biosynthetic studies inMethylobacterium AM1 andHyphomicrobium X using specific13C labeling and NMR. Antonie van Leeuwenhoek. 56(1). 93–101. 16 indexed citations
5.
Kleef, M.A.G. van & Johannis A. Duine. (1988). Bacterial NAD(P)-independent quinate dehydrogenase is a quinoprotein. Archives of Microbiology. 150(1). 32–36. 28 indexed citations
6.
7.
Kleef, M.A.G. van & Johannis A. Duine. (1988). L‐tyrosine is the precursor of PQQ biosynthesis in Hyphomicrobium X. FEBS Letters. 237(1-2). 91–97. 51 indexed citations
8.
Kleef, M.A.G. van, et al.. (1987). Detection of the cofactor pyrroloquinoline quinone. Analytical Biochemistry. 162(1). 143–149. 18 indexed citations
9.
Groen, Barend W., M.A.G. van Kleef, & Johannis A. Duine. (1986). Quinohaemoprotein alcohol dehydrogenase apoenzyme from Pseudomonas testosteroni. Biochemical Journal. 234(3). 611–615. 113 indexed citations
10.
Kleef, M.A.G. van, et al.. (1985). Production of quinoprotein d-glucose dehydrogenase in the culture medium of Acinetobacter calcoaceticus. Enzyme and Microbial Technology. 7(12). 613–616. 7 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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