Tibor Pakozdi

11 total papers · 922 total citations
7 papers, 632 citations indexed

About

Tibor Pakozdi is a scholar working on Molecular Biology, Oncology and Developmental Biology. According to data from OpenAlex, Tibor Pakozdi has authored 7 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Developmental Biology. Recurrent topics in Tibor Pakozdi's work include Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (2 papers) and Ubiquitin and proteasome pathways (1 paper). Tibor Pakozdi is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (2 papers) and Ubiquitin and proteasome pathways (1 paper). Tibor Pakozdi collaborates with scholars based in United States, Germany and Switzerland. Tibor Pakozdi's co-authors include Eileen E. M. Furlong, Yad Ghavi-Helm, Wolfgang Huber, Felix A. Klein, Daan Noordermeer, Lucia Ciglar, Simon Anders, Adrian P. Bracken, Raquel Marco-Ferreres and Charles Girardot and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Tibor Pakozdi

7 papers receiving 632 citations

Hit Papers

Enhancer loops appear sta... 2014 2026 2018 2022 2014 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tibor Pakozdi 588 172 70 52 35 7 632
Bram Herman 586 1.0× 181 1.1× 135 1.9× 63 1.2× 24 0.7× 6 725
Hitomi Nishio 492 0.8× 76 0.4× 99 1.4× 62 1.2× 47 1.3× 9 553
Jesse V. Kurland 611 1.0× 55 0.3× 118 1.7× 69 1.3× 37 1.1× 10 743
Andrea Harničarová 519 0.9× 59 0.3× 65 0.9× 21 0.4× 44 1.3× 11 599
Allen Sirotkin 533 0.9× 115 0.7× 119 1.7× 14 0.3× 31 0.9× 9 625
Kaimao Liu 517 0.9× 129 0.8× 97 1.4× 106 2.0× 12 0.3× 5 696
Zhendong Cao 615 1.0× 147 0.9× 66 0.9× 19 0.4× 118 3.4× 12 751
Baikang Pei 509 0.9× 78 0.5× 65 0.9× 37 0.7× 85 2.4× 13 575
Héra Der‐Sarkissian 400 0.7× 126 0.7× 120 1.7× 21 0.4× 27 0.8× 13 628
Priscilla Nga Ieng Lau 489 0.8× 57 0.3× 73 1.0× 14 0.3× 29 0.8× 7 566

Countries citing papers authored by Tibor Pakozdi

Since Specialization
Citations

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

Fields of papers citing papers by Tibor Pakozdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tibor Pakozdi

This figure shows the co-authorship network connecting the top 25 collaborators of Tibor Pakozdi. A scholar is included among the top collaborators of Tibor Pakozdi 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 Tibor Pakozdi. Tibor Pakozdi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026