Peter De Wulf

3.2k citations
39 papers · 2.5k · h-index 20

Impact in

Papers in

    • RNA and protein synthesis mechanisms 7
    • Genomics and Chromatin Dynamics 6
    • Photosynthetic Processes and Mechanisms 6
    • Microbial Metabolic Engineering and Bioproduction 5
    • Fungal and yeast genetics research 4
    • Microtubule and mitosis dynamics 10

Peter De Wulf

39 papers receiving 2.4k citations

Peers

Peter De Wulf
Comparison fields: 5 of 100
  • Cell Biology 1.1k
  • Endocrinology 187
  • Molecular Biology 1.8k
  • Biomaterials 258
  • Molecular Medicine 89
Replace Kouichi Funato with:
Kouichi Funato Japan
Federico Katzen United States
Yong‐Gui Gao Singapore
Marı́a Solà Spain
Emiliano Bedini Italy
Tomas Kempe United States
Ohsuk Kwon South Korea
Leigh Gebbie Australia
Lois M. Banta United States
Rui Dong China
Peter De Wulf relative to Kouichi Funato Japan Kouichi Funato's profile →
Citations per field
00.5×3.1×
Kouichi Funato · 1×
Citations per year

Countries citing papers authored by Peter De Wulf

Since Specialization
Citations

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

Fields of papers citing papers by Peter De Wulf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter De Wulf, 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 Peter De Wulf Line = papers co-authored together Peter De Wulf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008422
2 1998247
3 2003240
4 2005218
5 2002186
6 2004163
7 1999118
8 1998112
9 201282
10 200974
11 200873
12 201862
13 199654
14 200950
15 199742
16 200036
17 200032
18 199826
19 201523
20 199719

About Peter De Wulf

Peter De Wulf is a scholar working on Molecular Biology, Cell Biology, Genetics, Plant Science and Materials Chemistry, having authored 39 papers that have together received 2.5k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (10 papers), RNA and protein synthesis mechanisms (7 papers), Bacterial Genetics and Biotechnology (6 papers), Genomics and Chromatin Dynamics (6 papers), Photosynthetic Processes and Mechanisms (6 papers), Enzyme Structure and Function (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Fungal and yeast genetics research (4 papers). The work is most often cited by research in Cell Biology (1.1k citations), Endocrinology (187 citations), Molecular Biology (1.8k citations), Biomaterials (258 citations) and Molecular Medicine (89 citations). Peter De Wulf has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include Peter K. Sorger, Xueqiao Liu, Erick Vandamme, Andrew D. McAinsh, Ohsuk Kwon, E. C. C. Lin, Koen Joris, Stephen C. Harrison, JJ L. Miranda and Stijn De Baets. Their work appears in journals such as Journal of Bacteriology, Journal of Biological Chemistry, Nature Communications, Journal of Chemical Technology & Biotechnology and PLoS ONE.

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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