Natàlia Tàpia

2.7k total citations · 1 hit paper
40 papers, 2.0k citations indexed

About

Natàlia Tàpia is a scholar working on Molecular Biology, Virology and Genetics. According to data from OpenAlex, Natàlia Tàpia has authored 40 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 4 papers in Virology and 4 papers in Genetics. Recurrent topics in Natàlia Tàpia's work include Pluripotent Stem Cells Research (30 papers), CRISPR and Genetic Engineering (18 papers) and Renal and related cancers (17 papers). Natàlia Tàpia is often cited by papers focused on Pluripotent Stem Cells Research (30 papers), CRISPR and Genetic Engineering (18 papers) and Renal and related cancers (17 papers). Natàlia Tàpia collaborates with scholars based in Germany, South Korea and Spain. Natàlia Tàpia's co-authors include Hans R. Schöler, Dong‐Wook Han, Guangming Wu, Marcos J. Araúzo‐Bravo, Boris Greber, Kinarm Ko, Christof Bernemann, Jin Young Joo, Martin Stehling and Hoon Taek Lee and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Natàlia Tàpia

40 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Direct Reprogramming of Fibroblasts into Neural Stem Cells by Defined Factors

2012 421 citations Dong‐Wook Han, Natàlia Tàpia et al. Cell stem cell profile →

Peers

Natàlia Tàpia

MB

SURGE

DN

CMN

GENET

Pavel Itsykson Israel

James Byrne United States

Maureen Durning United States

Frances A. Brook United Kingdom

Albrecht Röpke Germany

Jennifer Kalishman United States

Jin Young Joo South Korea

Peter Pasceri Canada

Eihachiro Kawase Japan

Jennifer Ishii United States

Pavel Itsykson Israel

Natàlia Tàpia

1.1k ×0.6

MB

203 ×0.7

SURGE

374 ×1.5

DN

346 ×1.5

CMN

171 ×0.8

GENET

Citations per year, relative to Natàlia Tàpia Natàlia Tàpia (= 1×) peers Pavel Itsykson

Countries citing papers authored by Natàlia Tàpia

Since Specialization

Citations

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

Fields of papers citing papers by Natàlia Tàpia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natàlia Tàpia

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

All Works

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20 of 20 papers shown

1.

Gerovska, Daniela, Guangming Wu, Daniel Jiménez-Blasco, et al.. (2024). TET3 regulates terminal cell differentiation at the metabolic level. Nature Communications. 15(1). 9749–9749. 2 indexed citations

2.

Choi, Na Young, J.I. Lee, Kisung Ko, et al.. (2016). Ectopic overexpression of Nanog induces tumorigenesis in non-tumorous fibroblasts. Biological Chemistry. 397(3). 249–255. 5 indexed citations

3.

Tàpia, Natàlia & Hans R. Schöler. (2016). Molecular Obstacles to Clinical Translation of iPSCs. Cell stem cell. 19(3). 298–309. 103 indexed citations

4.

Kim, Sung Min, Andreas Hermann, Marcos J. Araúzo‐Bravo, et al.. (2014). Direct conversion of mouse fibroblasts into induced neural stem cells. Nature Protocols. 9(4). 871–881. 65 indexed citations

5.

Tàpia, Natàlia, Davood Sabour, Marcos J. Araúzo‐Bravo, et al.. (2014). Hypoxia Induces Pluripotency in Primordial Germ Cells by HIF1α Stabilization and Oct4 Deregulation. Antioxidants and Redox Signaling. 22(3). 205–223. 20 indexed citations

6.

Wu, Guangming, Kenjiro Adachi, Marcos J. Araúzo‐Bravo, et al.. (2014). Nanog induces hyperplasia without initiating tumors. Stem Cell Research. 13(2). 300–315. 17 indexed citations

7.

Araúzo‐Bravo, Marcos J., Guangming Wu, Holm Zaehres, et al.. (2013). Reprogramming to Pluripotency through a Somatic Stem Cell Intermediate. PLoS ONE. 8(12). e85138–e85138. 13 indexed citations

8.

Han, Dong‐Wook, Natàlia Tàpia, Marcos J. Araúzo‐Bravo, et al.. (2013). Sox2 Level Is a Determinant of Cellular Reprogramming Potential. PLoS ONE. 8(6). e67594–e67594. 7 indexed citations

9.

Nüssler, Andreas K., Natàlia Tàpia, & Esmaiel Jabbari. (2013). Report of the 3rd Royan Summer School in Tehran, Iran (14th July-19th July 2012). Stem Cell Reviews and Reports. 9(2). 119–120. 1 indexed citations

10.

Tàpia, Natàlia, Dong‐Wook Han, & Hans R. Schöler. (2012). Restoring Stem Cell Function in Aged Tissues by Direct Reprogramming?. Cell stem cell. 10(6). 653–656. 8 indexed citations

11.

Klein, Diana, Guangming Wu, Daniel Esch, et al.. (2012). Zfp296 Is a Novel, Pluripotent-Specific Reprogramming Factor. PLoS ONE. 7(4). e34645–e34645. 31 indexed citations

12.

Tàpia, Natàlia, Peter Reinhardt, Guangming Wu, et al.. (2012). Reprogramming to pluripotency is an ancient trait of vertebrate Oct4 and Pou2 proteins. Nature Communications. 3(1). 1279–1279. 57 indexed citations

13.

Tàpia, Natàlia & Hans R. Schöler. (2010). p53 connects tumorigenesis and reprogramming to pluripotency. The Journal of Experimental Medicine. 207(10). 2045–2048. 58 indexed citations

14.

Han, Dong‐Wook, Natàlia Tàpia, Jin Young Joo, et al.. (2010). Epiblast Stem Cell Subpopulations Represent Mouse Embryos of Distinct Pregastrulation Stages. Cell. 143(4). 617–627. 166 indexed citations

15.

Han, Dong‐Wook, Boris Greber, Guangming Wu, et al.. (2010). Direct reprogramming of fibroblasts into epiblast stem cells. Nature Cell Biology. 13(1). 66–71. 88 indexed citations

16.

Sebastiano, Vittorio, Mathieu Dalvai, Luca Gentile, et al.. (2010). Oct1 regulates trophoblast development during early mouse embryogenesis. Development. 137(21). 3551–3560. 43 indexed citations

17.

Ko, Kinarm, Natàlia Tàpia, Guangming Wu, et al.. (2009). Induction of Pluripotency in Adult Unipotent Germline Stem Cells. Cell stem cell. 5(1). 87–96. 189 indexed citations

18.

Barroso‐delJesus, Alicia, Elena Puerta‐Fernández, Natàlia Tàpia, et al.. (2005). Inhibition of HIV-1 Replication by an Improved Hairpin Ribozyme That Includes an RNA Decoy. RNA Biology. 2(2). 75–79. 8 indexed citations

19.

Tàpia, Natàlia, Guerau Fernández, Mariona Parera, et al.. (2005). Combination of a mutagenic agent with a reverse transcriptase inhibitor results in systematic inhibition of HIV-1 infection. Virology. 338(1). 1–8. 33 indexed citations

20.

Puerta‐Fernández, Elena, Alicia Barroso‐delJesus, Cristina Romero‐López, et al.. (2005). Inhibition of HIV-1 replication by RNA targeted against the LTR region. AIDS. 19(9). 863–870. 25 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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