Pablo Bora

659 total citations · 1 hit paper
7 papers, 456 citations indexed

About

Pablo Bora is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Pablo Bora has authored 7 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Pablo Bora's work include Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Pablo Bora is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Pablo Bora collaborates with scholars based in Czechia, United States and Germany. Pablo Bora's co-authors include Anish Sen Majumdar, Alexander W. Bruce, Andrej Šušor, Lenka Gahurová, Zbyněk Zdráhal, David Potěšil, Martin Pospíšek, Anna Ajduk, Tomáš Mašek and Denisa Jansová and has published in prestigious journals such as Stem Cell Research & Therapy, Frontiers in Cell and Developmental Biology and Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms.

In The Last Decade

Pablo Bora

7 papers receiving 444 citations

Hit Papers

Adipose tissue-derived stromal vascular fraction in regen... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo Bora Czechia 7 225 160 131 63 60 7 456
Jorge Paz Rodríguez United States 4 305 1.4× 162 1.0× 112 0.9× 39 0.6× 29 0.5× 6 435
Manuel Sánchez‐Díaz Spain 12 136 0.6× 131 0.8× 91 0.7× 61 1.0× 45 0.8× 54 486
Joana R. Ferreira Portugal 8 269 1.2× 197 1.2× 199 1.5× 35 0.6× 57 0.9× 10 658
Olivia S. Beane United States 4 217 1.0× 132 0.8× 85 0.6× 46 0.7× 63 1.1× 5 340
Sylwia Sarzyńska Poland 7 238 1.1× 194 1.2× 193 1.5× 25 0.4× 79 1.3× 14 554
Ioana A. Peptan United States 8 242 1.1× 174 1.1× 113 0.9× 31 0.5× 52 0.9× 9 452
Yinglu Guo China 7 221 1.0× 178 1.1× 120 0.9× 52 0.8× 24 0.4× 18 447
Kamila Gala Poland 13 145 0.6× 121 0.8× 109 0.8× 33 0.5× 48 0.8× 20 372
Joseph Paquet France 11 256 1.1× 181 1.1× 165 1.3× 33 0.5× 67 1.1× 14 512
Nataliya Basalova Russia 11 228 1.0× 169 1.1× 197 1.5× 49 0.8× 18 0.3× 33 527

Countries citing papers authored by Pablo Bora

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Bora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Bora

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

All Works

7 of 7 papers shown
1.
Gahurová, Lenka, Pablo Bora, Giorgio Virnicchi, et al.. (2023). Spatial positioning of preimplantation mouse embryo cells is regulated by mTORC1 and m 7 G-cap-dependent translation at the 8- to 16-cell transition. Open Biology. 13(8). 230081–230081. 6 indexed citations
2.
Bora, Pablo, Lenka Gahurová, Tomáš Mašek, et al.. (2021). p38-MAPK-mediated translation regulation during early blastocyst development is required for primitive endoderm differentiation in mice. Communications Biology. 4(1). 788–788. 36 indexed citations
3.
Bora, Pablo, et al.. (2021). DDX21 is a p38-MAPK-sensitive nucleolar protein necessary for mouse preimplantation embryo development and cell-fate specification. Open Biology. 11(7). 210092–210092. 11 indexed citations
4.
Virnicchi, Giorgio, Pablo Bora, Lenka Gahurová, Andrej Šušor, & Alexander W. Bruce. (2020). Wwc2 Is a Novel Cell Division Regulator During Preimplantation Mouse Embryo Lineage Formation and Oogenesis. Frontiers in Cell and Developmental Biology. 8. 857–857. 6 indexed citations
5.
Bora, Pablo, et al.. (2019). p38-Mitogen Activated Kinases Mediate a Developmental Regulatory Response to Amino Acid Depletion and Associated Oxidative Stress in Mouse Blastocyst Embryos. Frontiers in Cell and Developmental Biology. 7. 276–276. 9 indexed citations
6.
Bora, Pablo & Anish Sen Majumdar. (2017). Adipose tissue-derived stromal vascular fraction in regenerative medicine: a brief review on biology and translation. Stem Cell Research & Therapy. 8(1). 145–145. 374 indexed citations breakdown →
7.
Sahu, Sanjeeb Kumar, Neha Tiwari, Alireza Pouya, et al.. (2016). TOX3 regulates neural progenitor identity. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1859(7). 833–840. 14 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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