Joakim E. Swedberg

1.7k citations
44 papers · 1.3k indexed · h-index 24
Topics
Biochemical and Structural Characterization (33 papers)Chemical Synthesis and Analysis (10 papers)Glycosylation and Glycoproteins Research (8 papers)

In The Last Decade

Joakim E. Swedberg

44 papers receiving 1.3k citations

Peers

Joakim E. Swedberg
Comparison fields: 5 of 105
  • Molecular Biology 1.0k
  • Organic Chemistry 221
  • Microbiology 209
  • Oncology 196
  • Genetics 154
Replace Simon J. de Veer with:
Simon J. de Veer Australia
Paola Lo Surdo Italy
Teruhiro Utsugi Japan
Toby Passioura Japan
G. Jawahar Swaminathan United Kingdom
Magdalena Wysocka Poland
Sean G. Buchanan United States
Volker Schellenberger Germany
Paulina Kasperkiewicz Poland
M.C. Bibby United Kingdom
Joakim E. Swedberg relative to Simon J. de Veer Australia Simon J. de Veer's profile →
Citations per field
00.5×1.6×
Simon J. de Veer · 1×
Citations per year

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
#WorkIndexed citations
1 33
2 8
3 24
4 8
5 13
6 28
7 22
8 8
9 50
10 29
11 69
12 21
13 112
14 21
15 52
16 95
17 25
18 32
19 1
20 48

About Joakim E. Swedberg

Joakim E. Swedberg is a scholar working on Biotechnology, Microbiology and Genetics, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biochemical and Structural Characterization (33 papers), Chemical Synthesis and Analysis (10 papers) and Glycosylation and Glycoproteins Research (8 papers). The work is most often cited by research in Microbiology (209 citations), Biotechnology (148 citations) and Molecular Biology (1.0k citations). Joakim E. Swedberg has collaborated with scholars based in Australia, United States and Sweden. Frequent 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. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

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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