Luka Bočkor

1.2k citations
23 papers · 854 · 1 hit paper · h-index 11

Impact in

Papers in

Luka Bočkor

21 papers receiving 835 citations

Hit Papers

Repurposing the CRISPR-Cas9 system for targeted DNA methylation 2016 · 554 citations
5540+3+6Years since publication100200300400500

Peers

Luka Bočkor
Comparison fields: 5 of 88
  • Aging 45
  • Business and International Management 40
  • Molecular Biology 678
  • Genetics 196
  • Virology 18
Replace Marija Klasić with:
Marija Klasić Croatia
Xiaochen Kou China
Alan Derr United States
Weishi Yu China
Roberto Piergentili Italy
Michelle L. Kimberland United States
Satoshi Kamimura Japan
Sergey Ragozin Germany
Paul Blakeley United Kingdom
Taichi Noda Japan
Luka Bočkor relative to Marija Klasić Croatia Marija Klasić's profile →
Citations per field
00.5×1.5×
Marija Klasić · 1×
Citations per year

Countries citing papers authored by Luka Bočkor

Since Specialization
Citations

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

Fields of papers citing papers by Luka Bočkor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luka Bočkor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luka Bočkor Line = papers co-authored together Luka Bočkor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Repurposing the CRISPR-Cas9 system for targeted DNA methylation
Hit paper breakdown →
2016554
2 201464
3 201650
4 201933
5 202225
6 201724
7 202224
8 201617
9 201615
10 201313
11 201412
12 20238
13 20234
14
Comparison of Intraplasmid Rearrangements in Agrobacterium tumefaciens and Escherichia coli
20132
15 20232
16 20242
17 20231
18 20231
19 20241
20 20221

About Luka Bočkor

Luka Bočkor is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Oncology, Genetics and Surgery, having authored 23 papers that have together received 854 indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (5 papers), CRISPR and Genetic Engineering (4 papers), Pancreatic function and diabetes (3 papers), Birth, Development, and Health (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Corneal Surgery and Treatments (2 papers), Epigenetics and DNA Methylation (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Aging (45 citations), Business and International Management (40 citations), Molecular Biology (678 citations), Genetics (196 citations) and Virology (18 citations). Luka Bočkor has collaborated with scholars based in Croatia, Italy and United States. Frequent co-authors include Aleksandar Vojta, Vlatka Zoldoš, Marija Klasić, Paula Dobrinić, Vanja Tadić, Petra Korać, Boris Jülg, Ivana Samaržija, Giulia Bortolussi and Andrés F. Muro. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Human Gene Therapy, Archiv der Pharmazie and Human Molecular Genetics.

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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