Goran Kokić
- Molecular Biology top 10%
- Infectious Diseases top 1%
- Computational Theory and Mathematics top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Co-authors
- Patrick CramerChristian DienemannHauke S. HillenDimitry TegunovLucas FarnungJana SchmitzováClaudia HöbartnerFlorian Kabinger
- Topics
- RNA modifications and cancer (5 papers)Viral gastroenteritis research and epidemiology (4 papers)SARS-CoV-2 and COVID-19 Research (4 papers)
- Journals
- NatureScienceNature Communications
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Goran Kokić
10 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.2k
- Infectious Diseases 1.1k
- Computational Theory and Mathematics 250
- Cardiology and Cardiovascular Medicine 181
- Epidemiology 180
Countries citing papers authored by Goran Kokić
This map shows the geographic impact of Goran Kokić'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 Goran Kokić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Goran Kokić more than expected).
Fields of papers citing papers by Goran Kokić
This network shows the impact of papers produced by Goran Kokić. 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 Goran Kokić. The network helps show where Goran Kokić may publish in the future.
Co-authorship network of co-authors of Goran Kokić
This figure shows the co-authorship network connecting the top 25 collaborators of Goran Kokić. A scholar is included among the top collaborators of Goran Kokić 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 Goran Kokić. Goran Kokić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 10 | |
| 3 | Mechanism of SARS-CoV-2 polymerase stalling by remdesivirbreakdown → | 399 |
| 4 | Mechanism of molnupiravir-induced SARS-CoV-2 mutagenesisbreakdown → | 473 |
| 5 | 15 | |
| 6 | 96 | |
| 7 | Structure of replicating SARS-CoV-2 polymerasebreakdown → | 570 |
| 8 | 111 | |
| 9 | RNA polymerase II clustering through carboxy-terminal domain phase separationbreakdown → | 408 |
| 10 | 156 |
About Goran Kokić
Goran Kokić is a scholar working on Infectious Diseases, Animal Science and Zoology and Molecular Biology, having authored 10 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Molecular Biology (1.2k citations) and Computational Theory and Mathematics (250 citations). Goran Kokić has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Patrick Cramer, Christian Dienemann, Hauke S. Hillen, Dimitry Tegunov, Lucas Farnung, Jana Schmitzová, Claudia Höbartner, Florian Kabinger, Carina Stiller and Henning Urlaub. Their work appears in journals such as Nature, Science and Nature Communications.
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.