Simon J. de Veer

1.7k total citations
50 papers, 1.3k citations indexed

About

Simon J. de Veer is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Simon J. de Veer has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Biotechnology. Recurrent topics in Simon J. de Veer's work include Biochemical and Structural Characterization (40 papers), Chemical Synthesis and Analysis (12 papers) and Glycosylation and Glycoproteins Research (10 papers). Simon J. de Veer is often cited by papers focused on Biochemical and Structural Characterization (40 papers), Chemical Synthesis and Analysis (12 papers) and Glycosylation and Glycoproteins Research (10 papers). Simon J. de Veer collaborates with scholars based in Australia, France and Sweden. Simon J. de Veer's co-authors include David J. Craik, Jonathan M. Harris, Joakim E. Swedberg, Meng‐Wei Kan, Alain Hovnanian, Laetitia Furio, Conan K. Wang, Thomas Durek, Andrew M. White and Joachim Weidmann and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Simon J. de Veer

50 papers receiving 1.3k citations

Peers

Simon J. de Veer

MB

OC

ONCOL

GENET

BIOTE

Joakim E. Swedberg Australia

Peter Goettig Germany

Luciano Puzer Brazil

G. Jawahar Swaminathan United Kingdom

Suzanne C. Edavettal United States

Jon I. Williams United States

Sung-Hyun Kim South Korea

Margot G. Paulick United States

Teruhiro Utsugi Japan

Irmgard Assfalg‐Machleidt Germany

Joakim E. Swedberg Australia

Simon J. de Veer

1.0k ×1.1

MB

221 ×1.3

OC

196 ×1.1

ONCOL

154 ×0.9

GENET

148 ×1.0

BIOTE

Citations per year, relative to Simon J. de Veer Simon J. de Veer (= 1×) peers Joakim E. Swedberg

Countries citing papers authored by Simon J. de Veer

Since Specialization

Citations

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

Fields of papers citing papers by Simon J. de Veer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon J. de Veer. 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 Simon J. de Veer. The network helps show where Simon J. de Veer may publish in the future.

Co-authorship network of co-authors of Simon J. de Veer

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

All Works

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20 of 20 papers shown

1.

Xie, Jing, Kuok Yap, Simon J. de Veer, et al.. (2025). High-throughput enrichment of functional disulfide-rich peptides by droplet microfluidics. Lab on a Chip. 25(14). 3525–3536. 4 indexed citations

2.

Xie, Jing, Meng‐Wei Kan, Simon J. de Veer, Conan K. Wang, & David J. Craik. (2024). Display Technologies for Expanding the Pharmaceutical Applications of Cyclotides. Israel Journal of Chemistry. 64(8-9). 3 indexed citations

3.

Lawrence, Nicole, Simon J. de Veer, Vicky M. Avery, et al.. (2024). Enhancing the Intrinsic Antiplasmodial Activity and Improving the Stability and Selectivity of a Tunable Peptide Scaffold Derived from Human Platelet Factor 4. ACS Infectious Diseases. 10(8). 2899–2912. 3 indexed citations

4.

Veer, Simon J. de, et al.. (2024). Nucleation of a key beta-turn promotes cyclotide oxidative folding. Journal of Biological Chemistry. 300(4). 107125–107125. 1 indexed citations

5.

Rehm, Fabian B. H., et al.. (2022). Enzymatic C‐to‐C Protein Ligation. Angewandte Chemie International Edition. 61(11). e202116672–e202116672. 21 indexed citations

6.

Wu, Yue, Zhenling Cui, Yen‐Hua Huang, et al.. (2022). Towards a generic prototyping approach for therapeutically-relevant peptides and proteins in a cell-free translation system. Nature Communications. 13(1). 260–260. 16 indexed citations

7.

Rehm, Fabian B. H., et al.. (2022). Enzymatic C‐to‐C Protein Ligation. Angewandte Chemie. 134(11). 1 indexed citations

8.

Rehm, Fabian B. H., et al.. (2021). Enzymatic C-Terminal Protein Engineering with Amines. Journal of the American Chemical Society. 143(46). 19498–19504. 36 indexed citations

9.

Durek, Thomas, Quentin Kaas, Andrew M. White, et al.. (2021). Melanocortin 1 Receptor Agonists Based on a Bivalent, Bicyclic Peptide Framework. Journal of Medicinal Chemistry. 64(14). 9906–9915. 7 indexed citations

10.

Yap, Kuok, Fabian B. H. Rehm, Jing Xie, et al.. (2021). Yeast-based bioproduction of disulfide-rich peptides and their cyclization via asparaginyl endopeptidases. Nature Protocols. 16(3). 1740–1760. 28 indexed citations

11.

White, Andrew M., Simon J. de Veer, Guojie Wu, et al.. (2020). Application and Structural Analysis of Triazole‐Bridged Disulfide Mimetics in Cyclic Peptides. Angewandte Chemie International Edition. 59(28). 11273–11277. 33 indexed citations

12.

Yap, Kuok, Simon J. de Veer, Fabian B. H. Rehm, et al.. (2020). An environmentally sustainable biomimetic production of cyclic disulfide-rich peptides. Green Chemistry. 22(15). 5002–5016. 33 indexed citations

13.

White, Andrew M., Simon J. de Veer, Guojie Wu, et al.. (2020). Application and Structural Analysis of Triazole‐Bridged Disulfide Mimetics in Cyclic Peptides. Angewandte Chemie. 132(28). 11369–11373. 8 indexed citations

14.

Veer, Simon J. de, Meng‐Wei Kan, & David J. Craik. (2019). Cyclotides: From Structure to Function. Chemical Reviews. 119(24). 12375–12421. 184 indexed citations

15.

Riley, Blake T., Simon J. de Veer, David E. Hoke, et al.. (2019). Potent, multi-target serine protease inhibition achieved by a simplified β-sheet motif. PLoS ONE. 14(1). e0210842–e0210842. 8 indexed citations

16.

Veer, Simon J. de, Laetitia Furio, Joakim E. Swedberg, et al.. (2016). Selective Substrates and Inhibitors for Kallikrein-Related Peptidase 7 (KLK7) Shed Light on KLK Proteolytic Activity in the Stratum Corneum. Journal of Investigative Dermatology. 137(2). 430–439. 50 indexed citations

17.

Riley, Blake T., Maurício G. S. Costa, Benjamin T. Porebski, et al.. (2016). Direct and indirect mechanisms of KLK4 inhibition revealed by structure and dynamics. Scientific Reports. 6(1). 35385–35385. 29 indexed citations

18.

Veer, Simon J. de, Laetitia Furio, Jonathan M. Harris, & Alain Hovnanian. (2014). Proteases: common culprits in human skin disorders. Trends in Molecular Medicine. 20(3). 166–178. 82 indexed citations

19.

Veer, Simon J. de, Joakim E. Swedberg, E.A. Parker, & Jonathan M. Harris. (2011). Non-combinatorial library screening reveals subsite cooperativity and identifies new high-efficiency substrates for kallikrein-related peptidase 14. Biological Chemistry. 393(5). 331–341. 25 indexed citations

20.

Swedberg, Joakim E., Simon J. de Veer, & Jonathan M. Harris. (2010). Natural and engineered kallikrein inhibitors: an emerging pharmacopoeia. Biological Chemistry. 391(4). 357–74. 32 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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