Ernesto Lujan

2.6k total citations · 2 hit papers
8 papers, 1.8k citations indexed

About

Ernesto Lujan is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ernesto Lujan has authored 8 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Ernesto Lujan's work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers) and Renal and related cancers (2 papers). Ernesto Lujan is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers) and Renal and related cancers (2 papers). Ernesto Lujan collaborates with scholars based in United States, India and Canada. Ernesto Lujan's co-authors include Marius Wernig, Soham Chanda, Thomas C. Südhof, Henrik Ahlenius, Pedro J. Batista, Ava C. Carter, Lingjie Li, Donna M. Bouley, Kun Qu and Peter C. Dedon and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Ernesto Lujan

8 papers receiving 1.8k 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.

m6A RNA Modification Controls Cell Fate Transition in Mammalian Embryonic Stem Cells

2014 957 citations Pedro J. Batista, Benoit Molinié et al. Cell stem cell profile →
Direct conversion of mouse fibroblasts to self-renewing, tripotent neural precursor cells

2012 349 citations Ernesto Lujan, Soham Chanda et al. Proceedings of the National Academy of Sciences profile →

Peers

Ernesto Lujan

MB

CR

EEE

DN

SURGE

Shoudong Ye China

Milan Ešner Czechia

Oren Ram Israel

Renbao Chang China

Vinay K. Kartha United States

Kee-Pyo Kim Germany

Alfredo M. Valencia United States

Angelique M. Nelson United States

Masako Tada Japan

Jian Xian United Kingdom

Shoudong Ye China

Ernesto Lujan

919 ×0.5

MB

138 ×0.3

CR

35 ×0.2

EEE

39 ×0.3

DN

106 ×0.8

SURGE

Citations per year, relative to Ernesto Lujan Ernesto Lujan (= 1×) peers Shoudong Ye

Countries citing papers authored by Ernesto Lujan

Since Specialization

Citations

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

Fields of papers citing papers by Ernesto Lujan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ernesto Lujan

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Lam, Daniel D., Rhîannan H. Williams, Ernesto Lujan, et al.. (2021). Collagen VI Regulates Motor Circuit Plasticity and Motor Performance by Cannabinoid Modulation. Journal of Neuroscience. 42(8). 1557–1573. 3 indexed citations

2.

Angeles, Alejandro De Los, Francesco Ferrari, Ruibin Xi, et al.. (2015). Hallmarks of pluripotency. Nature. 525(7570). 469–478. 289 indexed citations

3.

Lujan, Ernesto, Eli R. Zunder, Yi Han Ng, et al.. (2015). Early reprogramming regulators identified by prospective isolation and mass cytometry. Nature. 521(7552). 352–356. 70 indexed citations

4.

Zunder, Eli R., Ernesto Lujan, Yury Goltsev, Marius Wernig, & Garry P. Nolan. (2015). A Continuous Molecular Roadmap to iPSC Reprogramming through Progression Analysis of Single-Cell Mass Cytometry. Cell stem cell. 16(3). 323–337. 141 indexed citations

5.

Batista, Pedro J., Benoit Molinié, Jinkai Wang, et al.. (2014). m6A RNA Modification Controls Cell Fate Transition in Mammalian Embryonic Stem Cells. Cell stem cell. 15(6). 707–719. 957 indexed citations breakdown →

6.

Lujan, Ernesto & Marius Wernig. (2012). The many roads to Rome: induction of neural precursor cells from fibroblasts. Current Opinion in Genetics & Development. 22(5). 517–522. 20 indexed citations

7.

Lujan, Ernesto, Soham Chanda, Henrik Ahlenius, Thomas C. Südhof, & Marius Wernig. (2012). Direct conversion of mouse fibroblasts to self-renewing, tripotent neural precursor cells. Proceedings of the National Academy of Sciences. 109(7). 2527–2532. 349 indexed citations breakdown →

8.

Lujan, Ernesto & Marius Wernig. (2010). An imprinted signature helps isolate ESC-equivalent iPSCs. Cell Research. 20(9). 974–976. 3 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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