Ivan Đikić

71.8k total citations · 30 hit papers
292 papers, 40.8k citations indexed

About

Ivan Đikić is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Ivan Đikić has authored 292 papers receiving a total of 40.8k indexed citations (citations by other indexed papers that have themselves been cited), including 209 papers in Molecular Biology, 97 papers in Epidemiology and 76 papers in Cell Biology. Recurrent topics in Ivan Đikić's work include Ubiquitin and proteasome pathways (109 papers), Autophagy in Disease and Therapy (92 papers) and Cellular transport and secretion (45 papers). Ivan Đikić is often cited by papers focused on Ubiquitin and proteasome pathways (109 papers), Autophagy in Disease and Therapy (92 papers) and Cellular transport and secretion (45 papers). Ivan Đikić collaborates with scholars based in Germany, United States and Croatia. Ivan Đikić's co-authors include Zvulun Elazar, Kaisa Haglund, Vladimir Kirkin, David G. McEwan, Fumiyo Ikeda, Doris Popovic, Koraljka Husnjak, Alexandra Stolz, Daniela Hoeller and Ivana Novak and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ivan Đikić

288 papers receiving 40.4k citations

Hit Papers

Mechanism and medical... 1996 2026 2006 2016 2018 2009 2011 2014 2009 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Đikić Germany 100 26.9k 14.5k 8.9k 6.1k 5.8k 292 40.8k
Junying Yuan United States 103 36.5k 1.4× 10.9k 0.8× 8.1k 0.9× 5.1k 0.8× 10.4k 1.8× 254 52.9k
Keiji Tanaka Japan 112 37.9k 1.4× 19.9k 1.4× 11.5k 1.3× 7.5k 1.2× 6.8k 1.2× 428 55.1k
Eileen White United States 95 26.5k 1.0× 17.3k 1.2× 4.8k 0.5× 7.5k 1.2× 4.0k 0.7× 241 41.1k
Paul Säftig Germany 104 18.9k 0.7× 6.5k 0.4× 7.9k 0.9× 5.7k 0.9× 4.8k 0.8× 333 39.2k
Aaron Ciechanover Israel 91 35.5k 1.3× 7.1k 0.5× 9.2k 1.0× 10.3k 1.7× 4.3k 0.7× 294 43.8k
Terje Johansen Norway 76 16.1k 0.6× 18.4k 1.3× 6.8k 0.8× 1.6k 0.3× 2.6k 0.5× 169 30.2k
Harald Stenmark Norway 100 22.5k 0.8× 8.9k 0.6× 18.7k 2.1× 1.6k 0.3× 4.2k 0.7× 263 36.8k
J. Wade Harper United States 120 48.8k 1.8× 9.5k 0.7× 11.7k 1.3× 19.5k 3.2× 3.8k 0.7× 307 62.5k
Guy S. Salvesen United States 110 37.2k 1.4× 5.9k 0.4× 5.5k 0.6× 9.0k 1.5× 9.6k 1.6× 295 54.7k
Michael N. Hall Switzerland 108 34.3k 1.3× 4.9k 0.3× 6.7k 0.8× 3.1k 0.5× 3.7k 0.6× 246 44.9k

Countries citing papers authored by Ivan Đikić

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Đikić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Đikić

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Đikić. A scholar is included among the top collaborators of Ivan Đikić 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 Ivan Đikić. Ivan Đikić 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.
Mukherjee, Rukmini, Anshu Bhattacharya, Santosh Kumar Kuncha, et al.. (2024). Serine ubiquitination of SQSTM1 regulates NFE2L2-dependent redox homeostasis. Autophagy. 21(2). 407–423. 1 indexed citations
2.
Mosler, Thorsten, Ivan Đikić, Andreas Brunschweiger, et al.. (2024). BAG3 regulates cilia homeostasis of glioblastoma via its WW domain. BioFactors. 50(6). 1113–1133. 3 indexed citations
3.
Vishwanatha, T. M., Daniel Horn‐Ghetko, Mohit Misra, et al.. (2023). A Pro‐Fluorescent Ubiquitin‐Based Probe to Monitor Cysteine‐Based E3 Ligase Activity. Angewandte Chemie International Edition. 62(32). e202303319–e202303319. 2 indexed citations
4.
Bhattacharya, Anshu, Rukmini Mukherjee, Santosh Kumar Kuncha, et al.. (2023). A lysosome membrane regeneration pathway depends on TBC1D15 and autophagic lysosomal reformation proteins. Nature Cell Biology. 25(5). 685–698. 45 indexed citations
5.
Wegner, Martin, Paolo Grumati, Koraljka Husnjak, et al.. (2021). Minimized combinatorial CRISPR screens identify genetic interactions in autophagy. Nucleic Acids Research. 49(10). 5684–5704. 32 indexed citations
6.
Covarrubias‐Pinto, Adriana, Lina Herhaus, Shankha Satpathy, et al.. (2021). SIK2 orchestrates actin-dependent host response upon Salmonella infection. Proceedings of the National Academy of Sciences. 118(19). 8 indexed citations
7.
Linder, Benedikt, Stephanie Hehlgans, Florian Bonn, et al.. (2019). Arsenic Trioxide and (−)-Gossypol Synergistically Target Glioma Stem-Like Cells via Inhibition of Hedgehog and Notch Signaling. Cancers. 11(3). 350–350. 39 indexed citations
8.
Forrester, Alison, Chiara De Leonibus, Paolo Grumati, et al.. (2018). A selective ER ‐phagy exerts procollagen quality control via a Calnexin‐ FAM 134B complex. The EMBO Journal. 38(2). 190 indexed citations
9.
Das, Chandan Kanta, Benedikt Linder, Florian Bonn, et al.. (2018). BAG3 Overexpression and Cytoprotective Autophagy Mediate Apoptosis Resistance in Chemoresistant Breast Cancer Cells. Neoplasia. 20(3). 263–279. 74 indexed citations
10.
Rogov, Vladimir V., Alexandra Stolz, H. Suzuki, et al.. (2017). Structural and functional analysis of the GABARAP interaction motif (GIM). EMBO Reports. 18(8). 1382–1396. 136 indexed citations
11.
Diamanti, Michaela A., J. R. P. Gupta, Tiago De Oliveira, et al.. (2017). IKKα controls ATG16L1 degradation to prevent ER stress during inflammation. The Journal of Experimental Medicine. 214(2). 423–437. 49 indexed citations
12.
Herhaus, Lina & Ivan Đikić. (2017). Regulation of Salmonella-host cell interactions via the ubiquitin system. International Journal of Medical Microbiology. 308(1). 176–184. 29 indexed citations
13.
Wijk, Sjoerd J. L. van, Franziska Fricke, Lina Herhaus, et al.. (2017). Linear ubiquitination of cytosolic Salmonella Typhimurium activates NF-κB and restricts bacterial proliferation. Nature Microbiology. 2(7). 17066–17066. 138 indexed citations
14.
Stolz, Alexandra, Mateusz Putyrski, Jessica Huber, et al.. (2016). Fluorescence‐based ATG 8 sensors monitor localization and function of LC 3/ GABARAP proteins. The EMBO Journal. 36(4). 549–564. 36 indexed citations
15.
Gomes, Lígia C. & Ivan Đikić. (2014). Autophagy in Antimicrobial Immunity. Molecular Cell. 54(2). 224–233. 280 indexed citations breakdown →
16.
Husnjak, Koraljka & Ivan Đikić. (2012). Ubiquitin-Binding Proteins: Decoders of Ubiquitin-Mediated Cellular Functions. Annual Review of Biochemistry. 81(1). 291–322. 605 indexed citations breakdown →
17.
Kawasaki, Masato, et al.. (2012). Structure of a compact conformation of linear diubiquitin. Acta Crystallographica Section D Biological Crystallography. 68(2). 102–108. 27 indexed citations
18.
Wild, Philipp S., Hesso Farhan, David G. McEwan, et al.. (2011). Phosphorylation of the Autophagy Receptor Optineurin Restricts Salmonella Growth. Science. 333(6039). 228–233. 1030 indexed citations breakdown →
19.
Müller, Mathias, et al.. (2011). Mitophagy in yeast is independent of mitochondrial fission and requires the stress response gene WHI2. Journal of Cell Science. 124(8). 1339–1350. 132 indexed citations
20.
D’Souza, Sanjay, et al.. (2010). Unconventional Ubiquitin Recognition by the Ubiquitin-Binding Motif within the Y-Family DNA Polymerases ι and Rev1. DSpace@MIT (Massachusetts Institute of Technology). 5 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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