Kathryn Grasha

6.0k total citations
60 papers, 621 citations indexed

About

Kathryn Grasha is a scholar working on Astronomy and Astrophysics, Instrumentation and Spectroscopy. According to data from OpenAlex, Kathryn Grasha has authored 60 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Astronomy and Astrophysics, 17 papers in Instrumentation and 6 papers in Spectroscopy. Recurrent topics in Kathryn Grasha's work include Stellar, planetary, and galactic studies (45 papers), Galaxies: Formation, Evolution, Phenomena (42 papers) and Astrophysics and Star Formation Studies (28 papers). Kathryn Grasha is often cited by papers focused on Stellar, planetary, and galactic studies (45 papers), Galaxies: Formation, Evolution, Phenomena (42 papers) and Astrophysics and Star Formation Studies (28 papers). Kathryn Grasha collaborates with scholars based in United States, Australia and Germany. Kathryn Grasha's co-authors include Daniel A. Dale, Daniela Calzetti, Angela Adamo, L. J. Smith, E. K. Grebel, Adam K. Leroy, Janice Lee, Matteo Messa, Michele Fumagalli and Dimitrios A. Gouliermis and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Supplement Series.

In The Last Decade

Kathryn Grasha

52 papers receiving 543 citations

Peers

Kathryn Grasha
I-Ting Ho United States
Sandro B Rembold Brazil
Sarah M. Sweet Australia
Nuria P. F. Lorente Australia
A. Zurita Spain
Karla Z. Arellano-Córdova United States
Hsi-An Pan Taiwan
Mirko Curti United Kingdom
H. Meusinger Germany
Seiji Fujimoto Japan
I-Ting Ho United States
Kathryn Grasha
Citations per year, relative to Kathryn Grasha Kathryn Grasha (= 1×) peers I-Ting Ho

Countries citing papers authored by Kathryn Grasha

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn Grasha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn Grasha

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn Grasha. A scholar is included among the top collaborators of Kathryn Grasha 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 Kathryn Grasha. Kathryn Grasha 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.
Buder, Sven, Tobias Buck, Qianhui Chen, & Kathryn Grasha. (2025). Local variations of the radial metallicity gradient in a simulated NIHAO-UHD Milky Way analogue and their implications for (extra-)galactic studies. The Open Journal of Astrophysics. 8.
2.
Torrey, Paul, Ruby J. Wright, Qianhui Chen, et al.. (2025). Metallicity Gradients in Modern Cosmological Simulations. I. Tension between Smooth Stellar Feedback Models and Observations. The Astrophysical Journal. 989(2). 147–147. 2 indexed citations
3.
Calzetti, Daniela, Angela Adamo, Aida Wofford, et al.. (2025). CLUES. III. Do User Choices Impact the Results of SED Fitting? Tests of “Off-the-shelf” Stellar Population and Dust Extinction Models in the CLUES Sample. The Astrophysical Journal. 989(1). 114–114. 1 indexed citations
4.
Sandström, Karin, Francesco Belfiore, Kathryn Kreckel, et al.. (2024). Investigating the Drivers of Electron Temperature Variations in H ii Regions with Keck-KCWI and VLT-MUSE. The Astrophysical Journal. 966(1). 130–130. 8 indexed citations
5.
Adamo, Angela, Matthew Hayes, T. Emil Rivera-Thorsen, et al.. (2024). CLusters in the Uv as EngineS (CLUES). II. Subkiloparsec-scale Outflows Driven by Stellar Feedback. The Astronomical Journal. 167(4). 166–166. 3 indexed citations
6.
Grasha, Kathryn, et al.. (2024). Cluster population demographics in NGC 628 derived from stochastic population synthesis models. Monthly Notices of the Royal Astronomical Society. 532(4). 4583–4603. 2 indexed citations
7.
Hannon, Stephen, Bradley C. Whitmore, Janice Lee, et al.. (2023). Star cluster classification using deep transfer learning with PHANGS-HST. Monthly Notices of the Royal Astronomical Society. 526(2). 2991–3006. 4 indexed citations
8.
Groves, Brent, Kathryn Kreckel, Francesco Santoro, et al.. (2023). The PHANGS–MUSE nebular catalogue. Monthly Notices of the Royal Astronomical Society. 520(4). 4902–4952. 33 indexed citations
9.
Sharda, Piyush, A. M. Amarsi, Kathryn Grasha, et al.. (2023). Correction to ‘The impact of carbon and oxygen abundances on the metal-poor initial mass function'. Monthly Notices of the Royal Astronomical Society. 525(3). 3316–3317. 2 indexed citations
10.
Congiu, Enrico, Guillermo A. Blanc, Francesco Belfiore, et al.. (2023). PHANGS-MUSE: Detection and Bayesian classification of ~40 000 ionised nebulae in nearby spiral galaxies. Astronomy and Astrophysics. 672. A148–A148. 14 indexed citations
11.
Cignoni, M., Elena Sacchi, M. Tosi, et al.. (2023). The spatially resolved star formation history of the dwarf spiral galaxy NGC 5474. Monthly Notices of the Royal Astronomical Society. 527(3). 5339–5355. 5 indexed citations
12.
Rousseau-Nepton, Laurie, S. Prunet, Julie Hlavacek-Larrondo, et al.. (2023). A machine learning approach to galactic emission-line region classification. HAL (Le Centre pour la Communication Scientifique Directe). 2(1). 345–359. 3 indexed citations
13.
Belfiore, Francesco, Jiayi Sun, Ashley T. Barnes, et al.. (2022). Calibration of hybrid resolved star formation rate recipes based on PHANGS–MUSE Hα and Hβ maps. Astronomy and Astrophysics. 670. A67–A67. 10 indexed citations
14.
Stuber, Sophia K., Toshiki Saito, Eva Schinnerer, et al.. (2021). Frequency and nature of central molecular outflows in nearby star-forming disk galaxies. Springer Link (Chiba Institute of Technology). 25 indexed citations
15.
Grasha, Kathryn. (2021). The Progressive Integral Step Method (PrISM) for Wide Field 3D Spectral Imaging of Nearby Galaxies: an Overview of the TYPHOON Survey. Proceedings of the International Astronomical Union. 17(S373). 234–241.
16.
Calzetti, Daniela, Andrew Battisti, Irene Shivaei, et al.. (2021). Revisiting Attenuation Curves: The Case of NGC 3351*. The Astrophysical Journal. 913(1). 37–37. 17 indexed citations
17.
Adamo, Angela, Janice C. Lee, L. J. Smith, et al.. (2021). Studying the ISM at ∼10 pc scale in NGC 7793 with MUSE. Astronomy and Astrophysics. 650. A103–A103. 17 indexed citations
18.
Wofford, Aida, Alba Vidal-García, Gustavo Bruzual, et al.. (2021). Synthetic photometry of OB star clusters with stochastically sampled IMFs: analysis of models and HST observations. Monthly Notices of the Royal Astronomical Society. 509(1). 522–549. 10 indexed citations
19.
Grasha, Kathryn, Bruce G. Elmegreen, Christoph Federrath, et al.. (2021). The dependence of the hierarchical distribution of star clusters on galactic environment. Monthly Notices of the Royal Astronomical Society. 507(4). 5542–5566. 9 indexed citations
20.
Sacchi, Elena, M. Cignoni, Alessandra Aloisi, et al.. (2019). Star Formation Histories of the LEGUS Spiral Galaxies. I. The Flocculent Spiral NGC 7793∗. The Astrophysical Journal. 878(1). 1–1. 13 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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