Daniel Hofius

13.2k total citations
48 papers, 3.5k citations indexed

About

Daniel Hofius is a scholar working on Plant Science, Epidemiology and Molecular Biology. According to data from OpenAlex, Daniel Hofius has authored 48 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Plant Science, 20 papers in Epidemiology and 18 papers in Molecular Biology. Recurrent topics in Daniel Hofius's work include Plant-Microbe Interactions and Immunity (25 papers), Autophagy in Disease and Therapy (20 papers) and Plant Virus Research Studies (16 papers). Daniel Hofius is often cited by papers focused on Plant-Microbe Interactions and Immunity (25 papers), Autophagy in Disease and Therapy (20 papers) and Plant Virus Research Studies (16 papers). Daniel Hofius collaborates with scholars based in Sweden, Denmark and Germany. Daniel Hofius's co-authors include Uwe Sonnewald, Anders Hafrén, John Mundy, Morten Petersen, Şuayib Üstün, Elena A. Minina, Peter V. Bozhkov, Frederik Börnke, Dimitrios Ι. Tsitsigiannis and Jonathan D. G. Jones and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Hofius

48 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Hofius Sweden 34 2.8k 1.5k 827 224 218 48 3.5k
Baofang Fan United States 33 5.3k 1.9× 3.7k 2.6× 445 0.5× 323 1.4× 158 0.7× 53 6.4k
Mohamed Zouine France 30 2.5k 0.9× 1.9k 1.3× 180 0.2× 62 0.3× 186 0.9× 51 3.5k
Núria S. Coll Spain 29 2.7k 1.0× 1.3k 0.9× 246 0.3× 314 1.4× 16 0.1× 66 3.3k
Xiuren Zhang United States 25 4.1k 1.5× 3.0k 2.1× 87 0.1× 105 0.5× 38 0.2× 50 5.0k
Nemo Peeters France 28 3.4k 1.2× 3.2k 2.2× 98 0.1× 209 0.9× 22 0.1× 43 5.5k
Xiaoqing Gong China 30 2.3k 0.8× 1.6k 1.1× 145 0.2× 98 0.4× 86 0.4× 112 3.0k
Elizabeth P. B. Fontes Brazil 43 4.2k 1.5× 1.9k 1.3× 260 0.3× 500 2.2× 15 0.1× 122 5.0k
David Mackey United States 34 4.6k 1.7× 1.2k 0.8× 149 0.2× 382 1.7× 15 0.1× 65 5.2k
Christian Godon France 9 1.7k 0.6× 2.0k 1.4× 76 0.1× 158 0.7× 27 0.1× 11 2.9k
Victoriano Garre Spain 32 618 0.2× 1.4k 1.0× 461 0.6× 163 0.7× 124 0.6× 89 2.5k

Countries citing papers authored by Daniel Hofius

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hofius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hofius

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hofius. A scholar is included among the top collaborators of Daniel Hofius 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 Daniel Hofius. Daniel Hofius 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.
Franz‐Wachtel, Mirita, Jung‐Gun Kim, Pooja Pandey, et al.. (2022). A bacterial effector counteracts host autophagy by promoting degradation of an autophagy component. The EMBO Journal. 41(13). e110352–e110352. 46 indexed citations
2.
Avin‐Wittenberg, Tamar, František Baluška, Peter V. Bozhkov, et al.. (2018). Autophagy-related approaches for improving nutrient use efficiency and crop yield protection. Journal of Experimental Botany. 69(6). 1335–1353. 83 indexed citations
3.
Üstün, Şuayib, Anders Hafrén, Qinsong Liu, et al.. (2018). Bacteria Exploit Autophagy for Proteasome Degradation and Enhanced Virulence in Plants. The Plant Cell. 30(3). 668–685. 91 indexed citations
4.
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
5.
Üstün, Şuayib, Anders Hafrén, & Daniel Hofius. (2017). Autophagy as a mediator of life and death in plants. Current Opinion in Plant Biology. 40. 122–130. 93 indexed citations
6.
Liu, Qinsong, Thomas Vain, Corrado Viotti, et al.. (2017). Vacuole Integrity Maintained by DUF300 Proteins Is Required for Brassinosteroid Signaling Regulation. Molecular Plant. 11(4). 553–567. 23 indexed citations
7.
Jonge, J. de, Daniel Hofius, & Lars Hennig. (2017). Salicylic acid interferes with GFP fluorescence in vivo. Journal of Experimental Botany. 68(7). 1689–1696. 4 indexed citations
8.
Mozgová, Iva, Thomas Wildhaber, Qinsong Liu, et al.. (2015). Chromatin assembly factor CAF-1 represses priming of plant defence response genes. Nature Plants. 1(9). 15127–15127. 57 indexed citations
9.
Munch, David, Eleazar Rodriguez, Simon Bressendorff, et al.. (2014). Autophagy deficiency leads to accumulation of ubiquitinated proteins, ER stress, and cell death inArabidopsis. Autophagy. 10(9). 1579–1587. 75 indexed citations
10.
Petersen, Morten, Daniel Hofius, & Stig Uggerhøj Andersen. (2014). Signaling unmasked. Autophagy. 10(3). 520–521. 27 indexed citations
11.
Malinovsky, Frederikke Gro, Peter Brodersen, Berthe Katrine Fiil, et al.. (2010). Lazarus1, a DUF300 Protein, Contributes to Programmed Cell Death Associated with Arabidopsis acd11 and the Hypersensitive Response. PLoS ONE. 5(9). e12586–e12586. 27 indexed citations
12.
Hofius, Daniel, Torsten Schultz‐Larsen, Dimitrios Ι. Tsitsigiannis, et al.. (2009). Autophagic Components Contribute to Hypersensitive Cell Death in Arabidopsis. Cell. 137(4). 773–783. 294 indexed citations
13.
Hofius, Daniel, John Mundy, & Morten Petersen. (2009). Self-consuming innate immunity in Arabidopsis. Autophagy. 5(8). 1206–1207. 6 indexed citations
14.
Petersen, Nikolaj H.T., Lea Vig McKinney, Peter Brodersen, et al.. (2008). Identification of proteins interacting with Arabidopsis ACD11. Journal of Plant Physiology. 166(6). 661–666. 38 indexed citations
15.
16.
Vogel, Florian, Daniel Hofius, & Uwe Sonnewald. (2007). Intracellular Trafficking of Potato Leafroll VirusMovement Protein in Transgenic Arabidopsis. Traffic. 8(9). 1205–1214. 72 indexed citations
17.
Birschwilks, Mandy, Sophie Haupt, Daniel Hofius, & Stefanie Neumann. (2006). Transfer of phloem-mobile substances from the host plants to the holoparasite Cuscuta sp.. Journal of Experimental Botany. 57(4). 911–921. 118 indexed citations
18.
Hofius, Daniel, Dimitrios Ι. Tsitsigiannis, Jonathan D. G. Jones, & John Mundy. (2006). Inducible cell death in plant immunity. Seminars in Cancer Biology. 17(2). 166–187. 84 indexed citations
19.
Chen, Daiwen, Daniel Hofius, Uwe Sonnewald, & Frederik Börnke. (2003). Temporal and spatial control of gene silencing in transgenic plants by inducible expression of double‐stranded RNA. The Plant Journal. 36(5). 731–740. 88 indexed citations
20.
Hofius, Daniel, Karin Herbers, Michael Melzer, et al.. (2001). Evidence for expression level‐dependent modulation of carbohydrate status and viral resistance by the potato leafroll virus movement protein in transgenic tobacco plants. The Plant Journal. 28(5). 529–543. 70 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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