Tadas Jakočiūnas

1.7k citations
23 papers · 1.3k indexed · h-index 15
Topics
CRISPR and Genetic Engineering (13 papers)Microbial Metabolic Engineering and Bioproduction (11 papers)RNA and protein synthesis mechanisms (8 papers)

In The Last Decade

Tadas Jakočiūnas

23 papers receiving 1.3k citations

Peers

Tadas Jakočiūnas
Comparison fields: 5 of 77
  • Molecular Biology 1.2k
  • Biomedical Engineering 197
  • Genetics 144
  • Biotechnology 124
  • Insect Science 89
Replace Michael E. Lee with:
Michael E. Lee United States
Zehua Bao United States
Mohammad HamediRad United States
Marta Vázquez‐Vilar Spain
Vratislav Šťovíček Denmark
Yongyao Xie China
Xiaomei Zheng China
Anjanasree K. Neelakandan United States
René Verwaal Netherlands
Xiaomeng Ni China
Tadas Jakočiūnas relative to Michael E. Lee United States Michael E. Lee's profile →
Citations per field
00.5×1.5×
Michael E. Lee · 1×
Citations per year

Countries citing papers authored by Tadas Jakočiūnas

Since Specialization
Citations

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

Fields of papers citing papers by Tadas Jakočiūnas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadas Jakočiūnas

This figure shows the co-authorship network connecting the top 25 collaborators of Tadas Jakočiūnas. A scholar is included among the top collaborators of Tadas Jakočiūnas 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 Tadas Jakočiūnas. Tadas Jakočiūnas 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
#WorkIndexed citations
1 2
2 4
3 16
4 1
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6 22
7 20
8 19
9 14
10 59
11 19
12 8
13 20
14 95
15
Easyclone-markerfree: A vector toolkit for marker-less integration of genes into saccharomyces cerevisiae via CRISPR-Cas9
5
16 195
17 164
18 121
19 313
20 21

About Tadas Jakočiūnas

Tadas Jakočiūnas is a scholar working on Molecular Biology, Biotechnology and Biochemistry, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (13 papers), Microbial Metabolic Engineering and Bioproduction (11 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Aging (31 citations), Molecular Biology (1.2k citations) and Business and International Management (31 citations). Tadas Jakočiūnas has collaborated with scholars based in Denmark, United States and China. Frequent co-authors include Michael K. Jensen, Jay D. Keasling, Lasse Ebdrup Pedersen, Irina Borodina, Scott J. Harrison, Mette Kristensen, Markus J. Herrgård, Ida Bonde, Vratislav Šťovíček and Zongjie Dai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.

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