Steingrim Svenning

1.8k total citations · 1 hit paper
9 papers, 1.3k citations indexed

About

Steingrim Svenning is a scholar working on Epidemiology, Molecular Biology and Plant Science. According to data from OpenAlex, Steingrim Svenning has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Steingrim Svenning's work include Autophagy in Disease and Therapy (6 papers), interferon and immune responses (2 papers) and Polyamine Metabolism and Applications (2 papers). Steingrim Svenning is often cited by papers focused on Autophagy in Disease and Therapy (6 papers), interferon and immune responses (2 papers) and Polyamine Metabolism and Applications (2 papers). Steingrim Svenning collaborates with scholars based in Norway, Austria and Denmark. Steingrim Svenning's co-authors include Terje Johansen, Trond Lamark, Kirsten Krause, Şuayib Üstün, Anders Hafrén, Daniel Hofius, Jack‐Ansgar Bruun, Hallvard Lauritz Olsvik, Harald Stenmark and Andreas Brech and has published in prestigious journals such as Nucleic Acids Research, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Steingrim Svenning

8 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Regulation of selective autophagy: the p62/SQSTM1 paradigm

2017 561 citations Trond Lamark, Steingrim Svenning et al. Essays in Biochemistry profile →

Peers

Steingrim Svenning

EPIDE

MB

PS

CB

PHYSI

Wenxian Wu China

Keisuke Obara Japan

Vikramjit Lahiri India

Dalibor Mijaljica Australia

Takao Hanada Japan

Zhiyuan Yao United States

Wei-Lien Yen United States

Martina Wirth United Kingdom

Chao-Wen Wang Taiwan

Koichiro Takeshige Japan

Wenxian Wu China

Steingrim Svenning

901 ×1.1

EPIDE

1.1k ×1.7

MB

189 ×0.5

PS

288 ×1.4

CB

104 ×1.1

PHYSI

Citations per year, relative to Steingrim Svenning Steingrim Svenning (= 1×) peers Wenxian Wu

Countries citing papers authored by Steingrim Svenning

Since Specialization

Citations

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

Fields of papers citing papers by Steingrim Svenning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steingrim Svenning

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

All Works

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9 of 9 papers shown

1.

Rothweiler, Ulli, et al.. (2024). Using nucleolytic toxins as restriction enzymes enables new RNA applications. Nucleic Acids Research. 52(18). e90–e90.

2.

Braaen, Stine, Anne Berit Olsen, Monica Nordberg, et al.. (2021). Piscine Orthoreovirus (PRV)-3, but Not PRV-2, Cross-Protects against PRV-1 and Heart and Skeletal Muscle Inflammation in Atlantic Salmon. Vaccines. 9(3). 230–230. 12 indexed citations

3.

Rodriguez, Eleazar, Steingrim Svenning, Jakub Jeż, et al.. (2020). Autophagy mediates temporary reprogramming and dedifferentiation in plant somatic cells. The EMBO Journal. 39(4). e103315–e103315. 52 indexed citations

4.

Svenning, Steingrim, et al.. (2019). Microbial Danger Signals Control Transcriptional Induction of Distinct MHC Class I L Lineage Genes in Atlantic Salmon. Frontiers in Immunology. 10. 2425–2425. 12 indexed citations

5.

Mejlvang, Jakob, Hallvard Lauritz Olsvik, Steingrim Svenning, et al.. (2018). Starvation induces rapid degradation of selective autophagy receptors by endosomal microautophagy. The Journal of Cell Biology. 217(10). 3640–3655. 207 indexed citations

6.

Hafrén, Anders, et al.. (2017). Turnip Mosaic Virus Counteracts Selective Autophagy of the Viral Silencing Suppressor HCpro. PLANT PHYSIOLOGY. 176(1). 649–662. 140 indexed citations

7.

Lamark, Trond, Steingrim Svenning, & Terje Johansen. (2017). Regulation of selective autophagy: the p62/SQSTM1 paradigm. Essays in Biochemistry. 61(6). 609–624. 561 indexed citations breakdown →

8.

Svenning, Steingrim & Terje Johansen. (2013). Selective autophagy. Essays in Biochemistry. 55. 79–92. 89 indexed citations

9.

Svenning, Steingrim, Trond Lamark, Kirsten Krause, & Terje Johansen. (2011). Plant NBR1 is a selective autophagy substrate and a functional hybrid of the mammalian autophagic adapters NBR1 and p62/SQSTM1. Autophagy. 7(9). 993–1010. 275 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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