Peter J. Punt

9.6k total citations · 1 hit paper
121 papers, 6.9k citations indexed

About

Peter J. Punt is a scholar working on Molecular Biology, Biotechnology and Biomedical Engineering. According to data from OpenAlex, Peter J. Punt has authored 121 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 52 papers in Biotechnology and 49 papers in Biomedical Engineering. Recurrent topics in Peter J. Punt's work include Fungal and yeast genetics research (59 papers), Biofuel production and bioconversion (47 papers) and Enzyme Production and Characterization (42 papers). Peter J. Punt is often cited by papers focused on Fungal and yeast genetics research (59 papers), Biofuel production and bioconversion (47 papers) and Enzyme Production and Characterization (42 papers). Peter J. Punt collaborates with scholars based in Netherlands, United Kingdom and Canada. Peter J. Punt's co-authors include Cees A. M. J. J. van den Hondel, Peter H. Pouwels, Maria A. Dingemanse, Ana Conesa, Richard P. Oliver, Robin J. Gouka, Arthur F. J. Ram, Jan C. Verdoes, Nick van Biezen and R.F.M. van Gorcom and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.

In The Last Decade

Peter J. Punt

121 papers receiving 6.7k citations

Hit Papers

Transformation of Aspergillus based on the hygromycin B r... 1987 2026 2000 2013 1987 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter J. Punt Netherlands 48 4.9k 2.4k 2.0k 1.9k 1.1k 121 6.9k
Katsuhiko Kitamoto Japan 53 5.8k 1.2× 1.8k 0.7× 1.5k 0.8× 1.5k 0.8× 1.4k 1.2× 246 7.9k
Arthur F. J. Ram Netherlands 48 5.5k 1.1× 3.2k 1.3× 1.3k 0.7× 1.7k 0.9× 1.2k 1.1× 156 7.8k
Katsuya Gomi Japan 50 4.6k 0.9× 1.6k 0.6× 1.9k 0.9× 1.3k 0.7× 2.1k 1.8× 168 6.7k
Jonathan D. Walton United States 47 3.1k 0.6× 3.5k 1.5× 814 0.4× 1.5k 0.8× 958 0.8× 119 6.2k
Cees A. M. J. J. van den Hondel Netherlands 63 8.5k 1.7× 4.6k 1.9× 3.0k 1.5× 2.3k 1.2× 1.9k 1.7× 190 11.9k
Markku Saloheimo Finland 45 3.8k 0.8× 2.1k 0.9× 2.4k 1.2× 2.7k 1.4× 402 0.4× 110 6.0k
George Szakács Hungary 39 2.3k 0.5× 2.2k 0.9× 1.7k 0.8× 1.5k 0.8× 363 0.3× 57 4.9k
John F. Peberdy United Kingdom 37 2.2k 0.5× 2.3k 0.9× 1.0k 0.5× 665 0.3× 883 0.8× 143 4.4k
Keietsu Abe Japan 38 2.8k 0.6× 1.6k 0.7× 621 0.3× 562 0.3× 945 0.8× 132 4.2k
Herbert N. Arst United Kingdom 55 6.7k 1.3× 3.4k 1.4× 709 0.4× 736 0.4× 2.0k 1.8× 152 9.3k

Countries citing papers authored by Peter J. Punt

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Punt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter J. Punt

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Punt. A scholar is included among the top collaborators of Peter J. Punt 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 J. Punt. Peter J. Punt 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
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Wierckx, Nick, Gennaro Agrimi, Peter Stephensen Lübeck, et al.. (2019). Metabolic specialization in itaconic acid production: a tale of two fungi. Current Opinion in Biotechnology. 62. 153–159. 56 indexed citations
5.
Alazi, Ebru, et al.. (2019). Mutations in AraR leading to constitutive of arabinolytic genes in Aspergillus niger under derepressing conditions. Applied Microbiology and Biotechnology. 103(10). 4125–4136. 6 indexed citations
6.
Gerritsen, Anne, et al.. (2019). Rab GDP-dissociation inhibitor gdiA is an essential gene required for cell wall chitin deposition in Aspergillus niger. Fungal Genetics and Biology. 136. 103319–103319. 15 indexed citations
7.
Tehrani, Hamed Hosseinpour, Elena Geiser, Abeer Hossain, et al.. (2019). The interplay between transport and metabolism in fungal itaconic acid production. Fungal Genetics and Biology. 125. 45–52. 24 indexed citations
8.
Punt, Peter J., et al.. (2016). The unconventional secretion of PepN is independent of a functional autophagy machinery in the filamentous fungusAspergillus niger. FEMS Microbiology Letters. 363(15). fnw152–fnw152. 18 indexed citations
9.
Li, An, et al.. (2013). In-Stream Itaconic Acid Recovery from Aspergillus terreus Fedbatch Fermentation. Industrial Biotechnology. 9(3). 139–145. 21 indexed citations
10.
Li, An, Martien P. M. Caspers, & Peter J. Punt. (2013). A systems biology approach for the identification of target genes for the improvement of itaconic acid production in Aspergillus species. BMC Research Notes. 6(1). 505–505. 9 indexed citations
11.
Li, An, et al.. (2013). Reduced by-product formation and modified oxygen availability improve itaconic acid production in Aspergillus niger. Applied Microbiology and Biotechnology. 97(9). 3901–3911. 59 indexed citations
12.
Berg, Robert A. van den, Douwe van der Veen, Mariët J. van der Werf, et al.. (2010). Identification of modules in Aspergillus niger by gene co-expression network analysis. Fungal Genetics and Biology. 47(6). 539–550. 15 indexed citations
13.
Damveld, Robbert A., Angelique C. W. Franken, Mark Arentshorst, et al.. (2008). A Novel Screening Method for Cell Wall Mutants in Aspergillus niger Identifies UDP-Galactopyranose Mutase as an Important Protein in Fungal Cell Wall Biosynthesis. Genetics. 178(2). 873–881. 73 indexed citations
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Biesebeke, Rob te, Ana M. Levín, Cees M. J. Sagt, et al.. (2005). Identification of growth phenotype-related genes in Aspergillus oryzae by heterologous macroarray and suppression subtractive hybridization. Molecular Genetics and Genomics. 273(1). 33–42. 14 indexed citations
16.
Nelson, Glyn, Marc R. Knight, J. R. S. Fincham, et al.. (2004). Calcium measurement in living filamentous fungi expressing codon‐optimized aequorin. Molecular Microbiology. 52(5). 1437–1450. 85 indexed citations
17.
Conesa, Ana, Fred van de Velde, Fred van Rantwijk, et al.. (2001). Expression of the Caldariomyces fumagoChloroperoxidase in Aspergillus niger and Characterization of the Recombinant Enzyme. Journal of Biological Chemistry. 276(21). 17635–17640. 36 indexed citations
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Verdoes, Jan C., Peter J. Punt, A. H. Stouthamer, & Cees A. M. J. J. van den Hondel. (1994). The effect of multiple copies of the upstream region of the Aspergillus niger glucoamylase-encoding gene on expression. Gene. 2 indexed citations
20.
Punt, Peter J. & Cees A. M. J. J. van den Hondel. (1992). [39] Transformation of filamentous fungi based on hygromycin b and phleomycin resistance markers. Methods in enzymology on CD-ROM/Methods in enzymology. 216. 447–457. 288 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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