Ivan Đikić
- Cell Biology top 0.02%
- Cellular transport and secretion 45
- Endoplasmic Reticulum Stress and Disease 29
- Physiology top 0.05%
- Epidemiology top 0.02%
- Autophagy in Disease and Therapy 92
- Molecular Biology top 0.05%
- Ubiquitin and proteasome pathways 109
- Protein Kinase Regulation and GTPase Signaling 27
- Immunology top 0.2%
- interferon and immune responses 26
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- Peptidase Inhibition and Analysis 22
- Cancer-related Molecular Pathways 19
- Co-authors
- Zvulun ElazarKaisa HaglundVladimir KirkinDavid G. McEwanFumiyo IkedaDoris PopovicKoraljka HusnjakAlexandra Stolz
- Cited by
- Cell BiologyPhysiologyEpidemiology
- Partner nations
- GermanyUnited StatesCroatia
In The Last Decade
Ivan Đikić
288 papers receiving 40.4k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Cell Biology 8.9k
- Physiology 2.1k
- Epidemiology 14.5k
- Molecular Biology 26.9k
- Immunology 5.8k
Countries citing papers authored by Ivan Đikić
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
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
The 25 scholars most cited alongside Ivan Đikić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 32 | |
| 8 | 2021 | 51 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 24 | |
| 11 | 2021 | 27 | |
| 12 | 2020 | 13 | |
| 13 | 2020 | 66 | |
| 14 | 2019 | 63 | |
| 15 | 2018 | 84 | |
| 16 | 2018 | 74 | |
| 17 | 2017 | 136 | |
| 18 | 2017 | 49 | |
| 19 | Phosphorylation of the Autophagy Receptor Optineurin Restricts Salmonella Growthbreakdown → | 2011 | 1030 |
| 20 | 2011 | 132 |
About Ivan Đikić
Ivan Đikić is a scholar working on Cell Biology, Physiology and Molecular Biology, having authored 292 papers that have together received 40.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (109 papers), Autophagy in Disease and Therapy (92 papers), Cellular transport and secretion (45 papers), Endoplasmic Reticulum Stress and Disease (29 papers), Protein Kinase Regulation and GTPase Signaling (27 papers), interferon and immune responses (26 papers), Peptidase Inhibition and Analysis (22 papers) and Cancer-related Molecular Pathways (19 papers). The work is most often cited by research in Cell Biology (8.9k citations), Physiology (2.1k citations) and Epidemiology (14.5k citations). Ivan Đikić has collaborated with scholars based in Germany, United States and Croatia. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell, Nature, EMBO Reports and Autophagy.
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.