Nacho Molina

2.9k total citations · 1 hit paper
30 papers, 1.8k citations indexed

About

Nacho Molina is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Nacho Molina has authored 30 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Biophysics. Recurrent topics in Nacho Molina's work include Gene Regulatory Network Analysis (10 papers), Genomics and Chromatin Dynamics (9 papers) and RNA Research and Splicing (7 papers). Nacho Molina is often cited by papers focused on Gene Regulatory Network Analysis (10 papers), Genomics and Chromatin Dynamics (9 papers) and RNA Research and Splicing (7 papers). Nacho Molina collaborates with scholars based in Switzerland, France and Germany. Nacho Molina's co-authors include Félix Naef, David M. Suter, Ueli Schibler, David Gatfield, Kim Schneider, Erik van Nimwegen, Benjamin Zoller, Mikhail Pachkov, Ionas Erb and Ivana Gotić and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Nacho Molina

27 papers receiving 1.7k citations

Hit Papers

Mammalian Genes Are Transcribed with Widely Different Bur... 2011 2026 2016 2021 2011 200 400 600
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.

  1. Mammalian Genes Are Transcribed with Widely Different Bursting Kinetics
    2011 680 citations David M. Suter, Nacho Molina et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nacho Molina Switzerland 18 1.4k 297 180 165 147 30 1.8k
Pablo Meyer United States 20 814 0.6× 207 0.7× 149 0.8× 224 1.4× 38 0.3× 51 1.7k
Maga Rowicka United States 15 1.8k 1.3× 192 0.6× 91 0.5× 230 1.4× 62 0.4× 31 2.2k
Claire V. Harper United Kingdom 24 1.1k 0.8× 288 1.0× 81 0.5× 82 0.5× 405 2.8× 36 2.2k
Nan Hao United States 19 1.3k 0.9× 134 0.5× 40 0.2× 152 0.9× 58 0.4× 51 1.6k
Malin Åkerfelt Finland 17 1.7k 1.2× 139 0.5× 34 0.2× 136 0.8× 121 0.8× 25 2.3k
Zhuo Du China 21 1.1k 0.8× 285 1.0× 65 0.4× 277 1.7× 24 0.2× 61 1.8k
Denis Dupuy France 16 2.2k 1.6× 267 0.9× 175 1.0× 165 1.0× 54 0.4× 29 2.8k
Carlos L. Araya United States 13 1.5k 1.1× 427 1.4× 26 0.1× 117 0.7× 85 0.6× 16 1.7k
Arunachalam Vinayagam United States 22 1.9k 1.4× 238 0.8× 33 0.2× 101 0.6× 189 1.3× 30 2.4k
Yuhui Ni China 16 1.2k 0.8× 193 0.6× 30 0.2× 64 0.4× 81 0.6× 25 1.7k

Countries citing papers authored by Nacho Molina

Since Specialization
Citations

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

Fields of papers citing papers by Nacho Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nacho Molina

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

All Works

20 of 20 papers shown
1.
Molina, Nacho, et al.. (2025). Abundant clock proteins point to missing molecular regulation in the plant circadian clock. Molecular Systems Biology. 21(4). 361–389. 1 indexed citations
2.
3.
Chatsirisupachai, Kasit, et al.. (2025). Mouse promoters are characterised by low occupancy and high turnover of RNA polymerase II. Molecular Systems Biology. 21(5). 447–471.
4.
Pomp, Wim, Karen J. Meaburn, Silvia Kocanova, et al.. (2024). Transcription processes compete with loop extrusion to homogenize promoter and enhancer dynamics. Science Advances. 10(50). eadq0987–eadq0987. 11 indexed citations
5.
Jiménez, Sara, et al.. (2023). Characterization of cell-fate decision landscapes by estimating transcription factor dynamics. Cell Reports Methods. 3(7). 100512–100512. 4 indexed citations
6.
Riba, Andrea, Attila Oravecz, Matej Durik, et al.. (2022). Cell cycle gene regulation dynamics revealed by RNA velocity and deep-learning. Nature Communications. 13(1). 2865–2865. 41 indexed citations
7.
Riba, Andrea, et al.. (2021). Regulation of transcription reactivation dynamics exiting mitosis. PLoS Computational Biology. 17(10). e1009354–e1009354. 11 indexed citations
8.
Cattenoz, Pierre B., et al.. (2020). Temporal specificity and heterogeneity of Drosophila immune cells. The EMBO Journal. 39(12). e104486–e104486. 83 indexed citations
9.
Kleinendorst, Rozemarijn, Dilek Imanci, Guido Barzaghi, et al.. (2020). Molecular Co-occupancy Identifies Transcription Factor Binding Cooperativity In Vivo. Molecular Cell. 81(2). 255–267.e6. 89 indexed citations
10.
Zambrano, Samuel, Alessia Loffreda, Édouard Bertrand, et al.. (2020). First Responders Shape a Prompt and Sharp NF-κB-Mediated Transcriptional Response to TNF-α. iScience. 23(9). 101529–101529. 9 indexed citations
11.
Piccand, Julie, Constance Vagne, A. Meunier, et al.. (2019). Rfx6 promotes the differentiation of peptide-secreting enteroendocrine cells while repressing genetic programs controlling serotonin production. Molecular Metabolism. 29. 24–39. 34 indexed citations
12.
Conic, Sascha, Dominique Desplancq, Alexia Ferrand, et al.. (2019). Visualization of Endogenous Transcription Factors in Single Cells Using an Antibody Electroporation-Based Imaging Approach. Methods in molecular biology. 2038. 209–221. 3 indexed citations
13.
Bischofberger, Mirko, et al.. (2016). Revealing Assembly of a Pore-Forming Complex Using Single-Cell Kinetic Analysis and Modeling. Biophysical Journal. 110(7). 1574–1581. 9 indexed citations
14.
Zambrano, Samuel, Marco E. Bianchi, A Agresti, & Nacho Molina. (2015). Interplay between stochasticity and negative feedback leads to pulsed dynamics and distinct gene activity patterns. Physical Review E. 92(2). 22711–22711. 10 indexed citations
15.
Zoller, Benjamin, Damien Nicolas, Nacho Molina, & Félix Naef. (2015). Structure of silent transcription intervals and noise characteristics of mammalian genes. Molecular Systems Biology. 11(7). 91 indexed citations
16.
Suter, David M., Nacho Molina, Félix Naef, & Ueli Schibler. (2011). Origins and consequences of transcriptional discontinuity. Current Opinion in Cell Biology. 23(6). 657–662. 37 indexed citations
17.
Molina, Nacho & Erik van Nimwegen. (2009). Scaling laws in functional genome content across prokaryotic clades and lifestyles. Trends in Genetics. 25(6). 243–247. 41 indexed citations
18.
Molina, Nacho & Erik van Nimwegen. (2008). The evolution of domain-content in bacterial genomes. Biology Direct. 3(1). 51–51. 21 indexed citations
19.
Molina, Nacho & Erik van Nimwegen. (2007). Universal patterns of purifying selection at noncoding positions in bacteria. Genome Research. 18(1). 148–160. 49 indexed citations
20.
Pachkov, Mikhail, Ionas Erb, Nacho Molina, & Erik van Nimwegen. (2006). SwissRegulon: a database of genome-wide annotations of regulatory sites. Nucleic Acids Research. 35(Database). D127–D131. 102 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Pablo Meyer Breakdown of academic impact, for papers by Maga Rowicka Breakdown of academic impact, for papers by Claire V. Harper Breakdown of academic impact, for papers by Nan Hao Breakdown of academic impact, for papers by Malin Åkerfelt Breakdown of academic impact, for papers by Zhuo Du Breakdown of academic impact, for papers by Denis Dupuy Breakdown of academic impact, for papers by Carlos L. Araya Breakdown of academic impact, for papers by Arunachalam Vinayagam Breakdown of academic impact, for papers by Yuhui Ni
Rankless by CCL
2026