Johan Ericsson

78 papers receiving 5.8k citations

Peers

Johan Ericsson
Comparison fields: 5 of 108
  • Biochemistry 782
  • Cancer Research 1.5k
  • Molecular Biology 4.3k
  • Surgery 1.5k
  • Oncology 938
Replace Michael R. Briggs with:
Michael R. Briggs United States
Hiroaki Okazaki Japan
Russell A. DeBose‐Boyd United States
Liqing Yu United States
Vladimir R. Babaev United States
Hiroko Oshima Japan
Dominique Lombardo France
Koen Brusselmans Belgium
Sahng Wook Park South Korea
Rosanne M. Crooke United States
Johan Ericsson relative to Michael R. Briggs United States Michael R. Briggs's profile →
Citations per field
00.5×3.1×
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 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010468
2 1999378
3 2005371
4 2008327
5 2002298
6 1994228
7 2007224
8 1997210
9 2003196
10 2012169
11 2004169
12 1996150
13 2005148
14 2011148
15 2003138
16 2009115
17 2004105
18 1995104
19 2006103
20 2008103

About Johan Ericsson

Johan Ericsson is a scholar working on Molecular Biology, Surgery, Biochemistry, Cancer Research and Cell Biology, having authored 80 papers that have together received 5.8k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (27 papers), Plant biochemistry and biosynthesis (19 papers), Peroxisome Proliferator-Activated Receptors (19 papers), Cancer, Lipids, and Metabolism (13 papers), Lipid metabolism and biosynthesis (12 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 (782 citations), Cancer Research (1.5k citations), Molecular Biology (4.3k citations), Surgery (1.5k citations) and Oncology (938 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, 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, Journal of Lipid Research 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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