Goran Kokić

3.5k total citations · 4 hit papers
10 papers, 2.3k citations indexed

About

Goran Kokić is a scholar working on Molecular Biology, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Goran Kokić has authored 10 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Infectious Diseases and 2 papers in Animal Science and Zoology. Recurrent topics in Goran Kokić's 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). Goran Kokić is often cited by papers focused on RNA modifications and cancer (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Goran Kokić collaborates with scholars based in Germany, United States and Netherlands. Goran Kokić's 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 and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Goran Kokić

10 papers receiving 2.2k citations

Hit Papers

Structure of replicating SARS-CoV-2 polymerase 2018 2026 2020 2023 2020 2021 2018 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Goran Kokić Germany 10 1.2k 1.1k 250 181 180 10 2.3k
Hauke S. Hillen Germany 14 941 0.8× 1.2k 1.0× 259 1.0× 195 1.1× 211 1.2× 25 2.1k
Lucas Farnung Germany 20 2.0k 1.7× 757 0.7× 174 0.7× 134 0.7× 117 0.7× 30 2.8k
Kamalendra Singh United States 26 1.1k 0.9× 1.2k 1.0× 152 0.6× 111 0.6× 296 1.6× 76 2.2k
Silvio Steiner Switzerland 8 752 0.6× 1.6k 1.5× 274 1.1× 113 0.6× 190 1.1× 10 2.5k
Ming‐Hon Hou Taiwan 25 1.1k 0.9× 765 0.7× 166 0.7× 109 0.6× 101 0.6× 70 2.0k
Yicheng Guo United States 21 858 0.7× 2.0k 1.8× 191 0.8× 97 0.5× 170 0.9× 51 2.6k
Radim Nencka Czechia 28 1.1k 0.9× 936 0.8× 150 0.6× 183 1.0× 321 1.8× 90 2.4k
Chengpeng Qiao China 6 634 0.5× 1.9k 1.7× 325 1.3× 76 0.4× 178 1.0× 7 2.2k
Hai Pang China 20 678 0.6× 1.1k 1.0× 445 1.8× 101 0.6× 236 1.3× 47 2.0k
Qingjun Ma China 24 721 0.6× 673 0.6× 276 1.1× 78 0.4× 81 0.5× 59 1.9k

Countries citing papers authored by Goran Kokić

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

10 of 10 papers shown
1.
Kokić, Goran, Diana van den Heuvel, Yana van der Weegen, et al.. (2024). Structural basis for RNA polymerase II ubiquitylation and inactivation in transcription-coupled repair. Nature Structural & Molecular Biology. 31(3). 536–547. 24 indexed citations
2.
Chen, Ying, Goran Kokić, Christian Dienemann, et al.. (2023). Structure of the transcribing RNA polymerase II–Elongin complex. Nature Structural & Molecular Biology. 30(12). 1925–1935. 10 indexed citations
3.
Kokić, Goran, Hauke S. Hillen, Dimitry Tegunov, et al.. (2021). Mechanism of SARS-CoV-2 polymerase stalling by remdesivir. Nature Communications. 12(1). 399 indexed citations breakdown →
4.
Kabinger, Florian, Carina Stiller, Jana Schmitzová, et al.. (2021). Mechanism of molnupiravir-induced SARS-CoV-2 mutagenesis. Nature Structural & Molecular Biology. 28(9). 740–746. 473 indexed citations breakdown →
5.
Tegunov, Dimitry, Hauke S. Hillen, Jana Schmitzová, et al.. (2021). The structure of a dimeric form of SARS-CoV-2 polymerase. Communications Biology. 4(1). 999–999. 15 indexed citations
6.
Kokić, Goran, Felix Wagner, Aleksandar Chernev, Henning Urlaub, & Patrick Cramer. (2021). Structural basis of human transcription–DNA repair coupling. Nature. 598(7880). 368–372. 96 indexed citations
7.
Hillen, Hauke S., Goran Kokić, Lucas Farnung, et al.. (2020). Structure of replicating SARS-CoV-2 polymerase. Nature. 584(7819). 154–156. 570 indexed citations breakdown →
8.
Kokić, Goran, Aleksandar Chernev, Dimitry Tegunov, et al.. (2019). Structural basis of TFIIH activation for nucleotide excision repair. Nature Communications. 10(1). 2885–2885. 111 indexed citations
9.
Boehning, Marc, Claire Dugast‐Darzacq, M. Ranković, et al.. (2018). RNA polymerase II clustering through carboxy-terminal domain phase separation. Nature Structural & Molecular Biology. 25(9). 833–840. 408 indexed citations breakdown →
10.
Holtkamp, Wolf, et al.. (2015). Cotranslational protein folding on the ribosome monitored in real time. Science. 350(6264). 1104–1107. 156 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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