Lívia Eiselleová

555 total citations
8 papers, 412 citations indexed

About

Lívia Eiselleová is a scholar working on Molecular Biology, Surgery and Biomedical Engineering. According to data from OpenAlex, Lívia Eiselleová has authored 8 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Biomedical Engineering. Recurrent topics in Lívia Eiselleová's work include Pluripotent Stem Cells Research (6 papers), 3D Printing in Biomedical Research (3 papers) and CRISPR and Genetic Engineering (2 papers). Lívia Eiselleová is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), 3D Printing in Biomedical Research (3 papers) and CRISPR and Genetic Engineering (2 papers). Lívia Eiselleová collaborates with scholars based in Czechia, Russia and Germany. Lívia Eiselleová's co-authors include Petr Dvořák, Aleš Hampl, Jakub Neradil, Iva Slaninová, Dana Dvořáková, Boris Tichý, Šárka Pospı́šilová, Vı́tězslav Křı́ž, Lukáš Bálek and Veronika Štěpánková and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Stem Cells and Biotechnology and Bioengineering.

In The Last Decade

Lívia Eiselleová

7 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lívia Eiselleová Czechia	7	332	114	97	47	32	8	412
Shreya Shukla Canada	6	229 0.7×	127 1.1×	63 0.6×	22 0.5×	62 1.9×	7	327
Rosa Portero Migueles United Kingdom	8	441 1.3×	69 0.6×	68 0.7×	25 0.5×	23 0.7×	9	516
Megan S. Bodnar United States	5	542 1.6×	71 0.6×	88 0.9×	23 0.5×	24 0.8×	5	590
Victoria L. Mascetti United Kingdom	7	388 1.2×	64 0.6×	99 1.0×	22 0.5×	12 0.4×	9	448
Theresa M. Curtis United States	10	147 0.4×	131 1.1×	40 0.4×	46 1.0×	21 0.7×	14	400
Yonatan Y. Lipsitz Canada	6	270 0.8×	186 1.6×	70 0.7×	52 1.1×	110 3.4×	10	414
Antonia Weberling United Kingdom	9	431 1.3×	95 0.8×	72 0.7×	19 0.4×	21 0.7×	16	557
Ryan E. Davey Canada	8	298 0.9×	180 1.6×	56 0.6×	19 0.4×	47 1.5×	8	428
Cassandra Verheul Netherlands	9	279 0.8×	50 0.4×	64 0.7×	44 0.9×	13 0.4×	13	368

Countries citing papers authored by Lívia Eiselleová

Since Specialization

Citations

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

Fields of papers citing papers by Lívia Eiselleová

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lívia Eiselleová

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

All Works

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8 of 8 papers shown

Eiselleová, Lívia, et al.. (2019). The Role of RNA Polymerase II Contiguity and Long-Range Interactions in the Regulation of Gene Expression in Human Pluripotent Stem Cells. Stem Cells International. 2019. 1–12.

Sorokin, Dmitry V., Igor Peterlík, Vladimír Ulman, et al.. (2018). FiloGen: A Model-Based Generator of Synthetic 3-D Time-Lapse Sequences of Single Motile Cells With Growing and Branching Filopodia. IEEE Transactions on Medical Imaging. 37(12). 2630–2641. 19 indexed citations

Dvořák, Pavel, David Bednář, Lukáš Bálek, et al.. (2017). Computer‐assisted engineering of hyperstable fibroblast growth factor 2. Biotechnology and Bioengineering. 115(4). 850–862. 53 indexed citations

Eiselleová, Lívia, et al.. (2013). Adaptation to Robust Monolayer Expansion Produces Human Pluripotent Stem Cells With Improved Viability. Stem Cells Translational Medicine. 2(4). 246–254. 25 indexed citations

Bálek, Lukáš, Lívia Eiselleová, Tomáš Bárta, et al.. (2013). Decrease in Abundance of Apurinic/Apyrimidinic Endonuclease Causes Failure of Base Excision Repair in Culture-Adapted Human Embryonic Stem Cells. Stem Cells. 31(4). 693–702. 21 indexed citations

Eiselleová, Lívia, et al.. (2010). Development of humanized culture medium with plant-derived serum replacement for human pluripotent stem cells. Reproductive BioMedicine Online. 21(5). 676–686. 11 indexed citations

Eiselleová, Lívia, Vı́tězslav Křı́ž, Jakub Neradil, et al.. (2009). A Complex Role for FGF-2 in Self-Renewal, Survival, and Adhesion of Human Embryonic Stem Cells. Stem Cells. 27(8). 1847–1857. 168 indexed citations

Eiselleová, Lívia, et al.. (2008). Comparative study of mouse and human feeder cells for human embryonic stem cells. The International Journal of Developmental Biology. 52(4). 353–363. 115 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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