L. Acuña

949 total citations · 1 hit paper
10 papers, 212 citations indexed

About

L. Acuña is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Statistical and Nonlinear Physics. According to data from OpenAlex, L. Acuña has authored 10 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Astronomy and Astrophysics, 3 papers in Atmospheric Science and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in L. Acuña's work include Stellar, planetary, and galactic studies (8 papers), Astro and Planetary Science (7 papers) and Astrophysics and Star Formation Studies (4 papers). L. Acuña is often cited by papers focused on Stellar, planetary, and galactic studies (8 papers), Astro and Planetary Science (7 papers) and Astrophysics and Star Formation Studies (4 papers). L. Acuña collaborates with scholars based in France, United States and Switzerland. L. Acuña's co-authors include M. Deleuil, O. Mousis, Laura Kreidberg, Émeline Bolmont, Aishwarya Iyer, Laura Schaefer, Franck Selsis, Caroline Morley, Elsa Ducrot and Andrew Lincowski and has published in prestigious journals such as Nature, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

L. Acuña

9 papers receiving 167 citations

Hit Papers

No thick carbon dioxide atmosphere on the rocky exoplanet... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Acuña France 7 186 45 36 23 18 10 212
Artyom Aguichine France 9 178 1.0× 29 0.6× 32 0.9× 24 1.0× 14 0.8× 21 196
Achrène Dyrek France 5 196 1.1× 49 1.1× 52 1.4× 14 0.6× 24 1.3× 8 218
Aishwarya Iyer United States 6 176 0.9× 64 1.4× 40 1.1× 12 0.5× 26 1.4× 9 194
Jessica Donaldson United States 8 327 1.8× 30 0.7× 24 0.7× 20 0.9× 12 0.7× 10 338
Zafar Rustamkulov United States 8 213 1.1× 56 1.2× 48 1.3× 13 0.6× 40 2.2× 20 233
Arjun B. Savel United States 9 205 1.1× 31 0.7× 40 1.1× 8 0.3× 14 0.8× 17 231
Erin May United States 12 285 1.5× 100 2.2× 61 1.7× 15 0.7× 22 1.2× 25 308
Qiao Xue United States 7 157 0.8× 48 1.1× 33 0.9× 7 0.3× 21 1.2× 9 177
Matthew C. Nixon United Kingdom 9 240 1.3× 38 0.8× 67 1.9× 46 2.0× 32 1.8× 17 293
Aaron David Schneider Belgium 9 338 1.8× 42 0.9× 57 1.6× 12 0.5× 38 2.1× 17 374

Countries citing papers authored by L. Acuña

Since Specialization
Citations

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

Fields of papers citing papers by L. Acuña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Acuña

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

All Works

10 of 10 papers shown
1.
Acuña, L., Laura Kreidberg, Meng Zhai, P. Mollière, & M. Fouesneau. (2025). GASTLI: A Python package for coupled interior–atmosphere modelling of volatile-rich planets. The Journal of Open Source Software. 10(107). 7288–7288.
2.
Acuña, L., et al.. (2024). GASTLI. Astronomy and Astrophysics. 688. A60–A60. 4 indexed citations
3.
Zieba, Sebastian, Laura Kreidberg, Elsa Ducrot, et al.. (2023). No thick carbon dioxide atmosphere on the rocky exoplanet TRAPPIST-1 c. Nature. 620(7975). 746–749. 108 indexed citations breakdown →
4.
Gaudi, B. Scott, L. Acuña, Jennifer A. Johnson, et al.. (2023). A Reanalysis of the Composition of K2-106b: An Ultra-short-period Super-Mercury Candidate. The Astronomical Journal. 165(3). 97–97. 8 indexed citations
5.
Acuña, L., M. Deleuil, & O. Mousis. (2023). Interior–atmosphere modelling to assess the observability of rocky planets with JWST. Astronomy and Astrophysics. 677. A14–A14. 7 indexed citations
6.
Acuña, L., T. Lopez, T. Morel, et al.. (2022). Water content trends in K2-138 and other low-mass multi-planetary systems. Astronomy and Astrophysics. 660. A102–A102. 7 indexed citations
7.
Wang, Haiyang, Sascha P. Quanz, David Yong, et al.. (2022). Detailed chemical compositions of planet-hosting stars: II. Exploration of the interiors of terrestrial-type exoplanets. Monthly Notices of the Royal Astronomical Society. 15 indexed citations
8.
Acuña, L., et al.. (2021). Characterisation of the hydrospheres of TRAPPIST-1 planets. Astronomy and Astrophysics. 647. A53–A53. 28 indexed citations
9.
Mousis, O., M. Deleuil, Artyom Aguichine, Emmanuel Marcq, & L. Acuña. (2020). Are sub-Neptunes irradiated ocean planets?. 1 indexed citations
10.
Liu, Fan, David Yong, M. Asplund, et al.. (2020). Detailed chemical compositions of planet-hosting stars – I. Exploration of possible planet signatures. Monthly Notices of the Royal Astronomical Society. 495(4). 3961–3973. 34 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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