Joakim E. Swedberg

1.7k total citations
44 papers, 1.3k citations indexed

About

Joakim E. Swedberg is a scholar working on Molecular Biology, Biotechnology and Genetics. According to data from OpenAlex, Joakim E. Swedberg has authored 44 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 Biotechnology and 7 papers in Genetics. Recurrent topics in Joakim E. Swedberg's work include Biochemical and Structural Characterization (33 papers), Chemical Synthesis and Analysis (10 papers) and Glycosylation and Glycoproteins Research (8 papers). Joakim E. Swedberg is often cited by papers focused on Biochemical and Structural Characterization (33 papers), Chemical Synthesis and Analysis (10 papers) and Glycosylation and Glycoproteins Research (8 papers). Joakim E. Swedberg collaborates with scholars based in Australia, United States and Sweden. Joakim E. Swedberg's co-authors include David J. Craik, Simon J. de Veer, Jonathan M. Harris, Conan K. Wang, Christina I. Schroeder, Susan E. Northfield, Joshua S. Mylne, Thomas Durek, Peta J. Harvey and Maša Čemažar and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Joakim E. Swedberg

44 papers receiving 1.3k citations

Peers

Joakim E. Swedberg
Sean G. Buchanan United States
G. Jawahar Swaminathan United Kingdom
I K Dev United States
Douglas A. Jeffery United States
M.C. Bibby United Kingdom
Joakim E. Swedberg
Citations per year, relative to Joakim E. Swedberg Joakim E. Swedberg (= 1×) peers Simon J. de Veer

Countries citing papers authored by Joakim E. Swedberg

Since Specialization
Citations

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

Fields of papers citing papers by Joakim E. Swedberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joakim E. Swedberg. 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 Joakim E. Swedberg. The network helps show where Joakim E. Swedberg may publish in the future.

Co-authorship network of co-authors of Joakim E. Swedberg

This figure shows the co-authorship network connecting the top 25 collaborators of Joakim E. Swedberg. A scholar is included among the top collaborators of Joakim E. Swedberg 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 Joakim E. Swedberg. Joakim E. Swedberg 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
1.
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
2.
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
3.
Jackson, Mark A., Kuok Yap, Aaron G. Poth, et al.. (2019). Rapid and Scalable Plant-Based Production of a Potent Plasmin Inhibitor Peptide. Frontiers in Plant Science. 10. 602–602. 24 indexed citations
4.
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
5.
Veer, Simon J. de, et al.. (2019). Amino Acid Scanning at P5′ within the Bowman–Birk Inhibitory Loop Reveals Specificity Trends for Diverse Serine Proteases. Journal of Medicinal Chemistry. 62(7). 3696–3706. 13 indexed citations
6.
Swedberg, Joakim E., Guojie Wu, Thomas Durek, et al.. (2018). Highly Potent and Selective Plasmin Inhibitors Based on the Sunflower Trypsin Inhibitor-1 Scaffold Attenuate Fibrinolysis in Plasma. Journal of Medicinal Chemistry. 62(2). 552–560. 28 indexed citations
7.
Veer, Simon J. de, et al.. (2018). Engineering potent mesotrypsin inhibitors based on the plant-derived cyclic peptide, sunflower trypsin inhibitor-1. European Journal of Medicinal Chemistry. 155. 695–704. 22 indexed citations
8.
Swedberg, Joakim E., Christina I. Schroeder, David P. Fairlie, et al.. (2016). Truncated Glucagon-like Peptide-1 and Exendin-4 α-Conotoxin pl14a Peptide Chimeras Maintain Potency and α-Helicity and Reveal Interactions Vital for cAMP Signaling in Vitro. Journal of Biological Chemistry. 291(30). 15778–15787. 8 indexed citations
9.
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
10.
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
11.
Wang, Conan K., Susan E. Northfield, Joakim E. Swedberg, et al.. (2015). Exploring experimental and computational markers of cyclic peptides: Charting islands of permeability. European Journal of Medicinal Chemistry. 97. 202–213. 69 indexed citations
12.
Swedberg, Joakim E., Christina I. Schroeder, Thomas Durek, et al.. (2015). Cyclic alpha-conotoxin peptidomimetic chimeras as potent GLP-1R agonists. European Journal of Medicinal Chemistry. 103. 175–184. 21 indexed citations
13.
Northfield, Susan E., Conan K. Wang, Christina I. Schroeder, et al.. (2014). Disulfide-rich macrocyclic peptides as templates in drug design. European Journal of Medicinal Chemistry. 77. 248–257. 112 indexed citations
14.
Schroeder, Christina I., Joakim E. Swedberg, & David J. Craik. (2013). Recent Progress Towards Pharmaceutical Applications of Disulfide-Rich Cyclic Peptides. Current Protein and Peptide Science. 14(6). 532–552. 21 indexed citations
15.
16.
Craik, David J., Joakim E. Swedberg, Joshua S. Mylne, & Maša Čemažar. (2012). Cyclotides as a basis for drug design. Expert Opinion on Drug Discovery. 7(3). 179–194. 95 indexed citations
17.
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
18.
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
19.
Swedberg, Joakim E., Janet C. Reid, Carina Walpole, et al.. (2009). Substrate-Guided Design of a Potent and Selective Kallikrein-Related Peptidase Inhibitor for Kallikrein 4. Chemistry & Biology. 16(6). 633–643. 1 indexed citations
20.
Huston, Wilhelmina M., Joakim E. Swedberg, Jonathan M. Harris, et al.. (2007). The temperature activated HtrA protease from pathogen Chlamydia trachomatis acts as both a chaperone and protease at 37 °C. FEBS Letters. 581(18). 3382–3386. 48 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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