Stijn Wuyts

28.6k total citations · 3 hit papers
66 papers, 3.4k citations indexed

About

Stijn Wuyts is a scholar working on Astronomy and Astrophysics, Instrumentation and Ecology. According to data from OpenAlex, Stijn Wuyts has authored 66 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Astronomy and Astrophysics, 43 papers in Instrumentation and 3 papers in Ecology. Recurrent topics in Stijn Wuyts's work include Galaxies: Formation, Evolution, Phenomena (61 papers), Astronomy and Astrophysical Research (43 papers) and Stellar, planetary, and galactic studies (30 papers). Stijn Wuyts is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (61 papers), Astronomy and Astrophysical Research (43 papers) and Stellar, planetary, and galactic studies (30 papers). Stijn Wuyts collaborates with scholars based in United States, Germany and United Kingdom. Stijn Wuyts's co-authors include Marijn Franx, Pieter van Dokkum, N. M. Förster Schreiber, Ivo Labbé, Sune Toft, Danilo Marchesini, Gregory Rudnick, Gabriel Brammer, Lars Hernquist and L. J. Tacconi and has published in prestigious journals such as Nature, Science and The Astrophysical Journal.

In The Last Decade

Stijn Wuyts

65 papers receiving 3.3k citations

Hit Papers

Molecular and atomic gas along and across the main sequen... 2012 2026 2016 2021 2016 2012 2015 50 100 150

Peers

Stijn Wuyts
Rachel Bezanson United States
Shardha Jogee United States
David A. Wake United States
J. Christopher Mihos United States
Daniel Ceverino United States
Danilo Marchesini United States
A. Borch United Kingdom
Rachel Bezanson United States
Stijn Wuyts
Citations per year, relative to Stijn Wuyts Stijn Wuyts (= 1×) peers Rachel Bezanson

Countries citing papers authored by Stijn Wuyts

Since Specialization
Citations

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

Fields of papers citing papers by Stijn Wuyts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stijn Wuyts

This figure shows the co-authorship network connecting the top 25 collaborators of Stijn Wuyts. A scholar is included among the top collaborators of Stijn Wuyts 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 Stijn Wuyts. Stijn Wuyts 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.
Schady, P., Stijn Wuyts, M. Arabsalmani, et al.. (2025). First IFU observations of two GRB host galaxies at cosmic noon with JWST/NIRSpec. Monthly Notices of the Royal Astronomical Society. 540(2). 1844–1859. 1 indexed citations
2.
Momcheva, Ivelina, Katherine E. Whitaker, Sam E. Cutler, et al.. (2025). The Evolution of Half-mass Radii and Color Gradients for Young and Old Quiescent Galaxies at 0.5 <  z  < 3 with JWST/PRIMER. The Astrophysical Journal. 993(1). 106–106.
3.
Toshikawa, Jun, Stijn Wuyts, Hisakazu Uchiyama, et al.. (2025). Galaxy properties from the outskirts to the core of a protocluster at z = 3.70. Monthly Notices of the Royal Astronomical Society. 537(4). 3561–3574. 2 indexed citations
4.
Schreiber, N. M. Förster, Sedona H. Price, Daizhong Liu, et al.. (2024). Disk Kinematics at High Redshift: DysmalPy’s Extension to 3D Modeling and Comparison with Different Approaches. The Astrophysical Journal. 978(1). 14–14. 2 indexed citations
5.
Dai, Y. Sophia, et al.. (2024). A Close Look at Lyα Emitters with JWST/NIRCam at z ≈ 3.1. The Astrophysical Journal. 966(2). 210–210. 2 indexed citations
6.
Villforth, C., Stijn Wuyts, D. M. Alexander, et al.. (2024). A post-merger enhancement only in star-forming Type 2 Seyfert galaxies: the deep learning view. Monthly Notices of the Royal Astronomical Society. 528(4). 6915–6933. 3 indexed citations
7.
Dai, Y. Sophia, et al.. (2024). Active Galactic Nuclei in a Mid-infrared Selected Galaxy Sample at z > 0.13: [Ne v]λ3426 Line Emission as a Benchmark. The Astrophysical Journal. 963(2). 99–99. 4 indexed citations
8.
Dokkum, Pieter van, Y. Asali, Joel Leja, et al.. (2024). FRESCO: The Paschen-α Star-forming Sequence at Cosmic Noon. The Astrophysical Journal. 972(2). 156–156. 5 indexed citations
9.
Zheng, Xianzhong, Stijn Wuyts, Jiasheng Huang, et al.. (2023). Understanding the universal dust attenuation scaling relation of star-forming galaxies. Monthly Notices of the Royal Astronomical Society. 528(1). 658–675. 3 indexed citations
10.
Schady, P., et al.. (2023). Optimal metallicity diagnostics for MUSE observations of low-z galaxies. Monthly Notices of the Royal Astronomical Society. 527(3). 5484–5502. 7 indexed citations
11.
Toshikawa, Jun, Stijn Wuyts, Nobunari Kashikawa, et al.. (2023). An enhanced abundance of bright galaxies in protocluster candidates at z ∼ 3–5. Monthly Notices of the Royal Astronomical Society. 527(3). 6276–6291. 10 indexed citations
12.
Wuyts, Stijn, N. M. Förster Schreiber, C. Villforth, et al.. (2022). Cool outflows in MaNGA: a systematic study and comparison to the warm phase. Monthly Notices of the Royal Astronomical Society. 511(3). 4223–4237. 16 indexed citations
13.
Schady, P., et al.. (2022). Investigating the origin of observed central dips in radial metallicity profiles. Monthly Notices of the Royal Astronomical Society. 511(1). 371–392. 6 indexed citations
14.
Mowla, Lamiya, Sam E. Cutler, Gabriel Brammer, et al.. (2022). 3D-DASH: The Widest Near-infrared Hubble Space Telescope Survey. The Astrophysical Journal. 933(2). 129–129. 8 indexed citations
15.
Zhang, Junkai, Stijn Wuyts, Callum Witten, et al.. (2022). 3D intrinsic shapes of quiescent galaxies in observations and simulations. Monthly Notices of the Royal Astronomical Society. 513(4). 4814–4832. 1 indexed citations
16.
Gozaliasl, G., A. Finoguenov, Habib G. Khosroshahi, et al.. (2018). Brightest group galaxies – II: the relative contribution of BGGs to the total baryon content of groups at z < 1.3. Monthly Notices of the Royal Astronomical Society. 475(2). 2787–2808. 8 indexed citations
17.
Nelson, Erica J., Pieter van Dokkum, Ivelina Momcheva, et al.. (2016). SPATIALLY RESOLVED DUST MAPS FROM BALMER DECREMENTS IN GALAXIES AT z ∼ 1.4. The Astrophysical Journal Letters. 817(1). L9–L9. 62 indexed citations
18.
Whitaker, Katherine E., Marijn Franx, Rachel Bezanson, et al.. (2015). GALAXY STRUCTURE AS A DRIVER OF THE STAR FORMATION SEQUENCE SLOPE AND SCATTER. The Astrophysical Journal Letters. 811(1). L12–L12. 76 indexed citations
19.
Dokkum, Pieter van, Rachel Bezanson, Arjen van der Wel, et al.. (2014). DENSE CORES IN GALAXIES OUT TOz= 2.5 IN SDSS, UltraVISTA, AND THE FIVE 3D-HST/CANDELS FIELDS. The Astrophysical Journal. 791(1). 45–45. 75 indexed citations
20.
Fadda, D., Lin Yan, G. Lagache, et al.. (2010). Ultra-Deep Mid-Infrared Spectroscopy of Luminous Infrared Galaxies at z ∼ 1 and z ∼ 2. MPG.PuRe (Max Planck Society). 36 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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