Johan Ericsson

78 papers receiving 6.0k citations

Peers

Johan Ericsson
Comparison fields: 5 of 109
  • Biochemistry 789
  • Cancer Research 1.5k
  • Molecular Biology 4.2k
  • Surgery 1.5k
  • Oncology 915
Replace Michael R. Briggs with:
Michael R. Briggs United States
Dominique Lombardo France
Hiroko Oshima Japan
Russell A. DeBose‐Boyd United States
Koen Brusselmans Belgium
Vladimir R. Babaev United States
Sahng Wook Park South Korea
Bryan Laffitte United States
Diego F. Calvisi Germany
Brandon Faubert United States
Johan Ericsson relative to Michael R. Briggs United States Michael R. Briggs's profile →
Citations per field
00.5×3.3×
Michael R. Briggs · 1×
Citations per year

Countries citing papers authored by Johan Ericsson

Since Specialization
Citations

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

Fields of papers citing papers by Johan Ericsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johan Ericsson. 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 Johan Ericsson. The network helps show where Johan Ericsson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010486
2 1999397
3 2005384
4 2008341
5 2002311
6 1994241
7 2007232
8 1997215
9 2003203
10 2004179
11 2012175
12 2011155
13 2005152
14 1996152
15 2003145
16 2009117
17 2004109
18 2006107
19 2006105
20 1995105

About Johan Ericsson

Johan Ericsson is a scholar working on Molecular Biology, Surgery, Biochemistry, Cancer Research and Cell Biology, having authored 81 papers that have together received 6.1k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (27 papers), Plant biochemistry and biosynthesis (20 papers), Peroxisome Proliferator-Activated Receptors (18 papers), Cancer, Lipids, and Metabolism (13 papers), Lipid metabolism and biosynthesis (13 papers), Ubiquitin and proteasome pathways (8 papers), TGF-β signaling in diseases (7 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Biochemistry (789 citations), Cancer Research (1.5k citations), Molecular Biology (4.2k citations), Surgery (1.5k citations) and Oncology (915 citations). Johan Ericsson has collaborated with scholars based in Sweden, United States and Ireland. Frequent co-authors include Peter A. Edwards, Maria T. Bengoechea-Alonso, Carl‐Henrik Heldin, Simon Jackson, Eva Grönroos, Gustav Dallner, Maria Simonsson, Tanel Punga, Anders Sundqvist and Jacob Grünler. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Lipid Research, Acta chemica Scandinavica/Acta chemica Scandinavica. B, Organic chemistry and biochemistry/Acta chemica Scandinavica. A, Physical and inorganic chemistry/Acta chemica Scandinavica. Series B. Organic chemistry and biochemistry/Acta chemica Scandinavica. Series A, Physical and inorganic chemistry and Frontiers in Oncology.

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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