Y. Asali

10.9k total citations
10 papers, 73 citations indexed

About

Y. Asali is a scholar working on Astronomy and Astrophysics, Instrumentation and Ecology. According to data from OpenAlex, Y. Asali has authored 10 papers receiving a total of 73 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Astronomy and Astrophysics, 4 papers in Instrumentation and 1 paper in Ecology. Recurrent topics in Y. Asali's work include Galaxies: Formation, Evolution, Phenomena (6 papers), Stellar, planetary, and galactic studies (5 papers) and Astronomy and Astrophysical Research (4 papers). Y. Asali is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (6 papers), Stellar, planetary, and galactic studies (5 papers) and Astronomy and Astrophysical Research (4 papers). Y. Asali collaborates with scholars based in United States, Netherlands and Germany. Y. Asali's co-authors include Marla Geha, Erik Tollerud, Ethan O. Nadler, Benjamin J. Weiner, Yao-Yuan Mao, Mithi A. C. de los Reyes, Risa H. Wechsler, Nitya Kallivayalil, Yunchong Wang and Erin Kado-Fong and has published in prestigious journals such as The Astrophysical Journal, Physical review. D and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Y. Asali

9 papers receiving 47 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Asali United States 6 69 24 6 6 5 10 73
Brian Welch United States 5 50 0.7× 23 1.0× 2 0.3× 6 1.0× 2 0.4× 13 57
L. Rolland France 3 101 1.5× 37 1.5× 7 1.2× 4 0.7× 7 1.4× 4 102
A. Schwope Germany 5 104 1.5× 24 1.0× 6 1.0× 7 1.2× 3 0.6× 9 112
Casey L. Brinkman United States 4 60 0.9× 8 0.3× 3 0.5× 10 1.7× 4 0.8× 6 65
M. Andrés‐Carcasona Spain 4 40 0.6× 6 0.3× 4 0.7× 14 2.3× 4 0.8× 11 49
P V Padmanabh Germany 7 73 1.1× 9 0.4× 4 0.7× 14 2.3× 10 2.0× 16 78
Zhexing Li United States 7 122 1.8× 40 1.7× 4 0.7× 3 0.6× 13 127
A. H. Riley United States 5 82 1.2× 33 1.4× 12 2.0× 5 1.0× 10 113
Mike Y. M. Lau Australia 7 199 2.9× 39 1.6× 4 0.7× 13 2.2× 8 1.6× 11 221
Samayra Straal United States 6 106 1.5× 18 0.8× 3 0.5× 36 6.0× 7 1.4× 11 107

Countries citing papers authored by Y. Asali

Since Specialization
Citations

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

Fields of papers citing papers by Y. Asali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Asali

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Asali. A scholar is included among the top collaborators of Y. Asali 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 Y. Asali. Y. Asali 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.
Kado-Fong, Erin, Yao-Yuan Mao, Y. Asali, et al.. (2025). SAGAbg. III. Environmental Stellar Mass Functions, Self-quenching, and the Stellar-to-halo Mass Relation in the Dwarf Galaxy Regime. The Astrophysical Journal. 994(2). 231–231. 1 indexed citations
2.
Reyes, Mithi A. C. de los, Y. Asali, Risa H. Wechsler, et al.. (2025). Stellar Mass Calibrations for Local Low-mass Galaxies. The Astrophysical Journal. 989(1). 91–91. 3 indexed citations
3.
Geha, Marla, Yao-Yuan Mao, Risa H. Wechsler, et al.. (2024). The SAGA Survey. IV. The Star Formation Properties of 101 Satellite Systems around Milky Way–mass Galaxies. The Astrophysical Journal. 976(1). 118–118. 8 indexed citations
4.
Kado-Fong, Erin, Marla Geha, Yao-Yuan Mao, et al.. (2024). SAGAbg. II. The Low-mass Star-forming Sequence Evolves Significantly between 0.05 < z < 0.21. The Astrophysical Journal. 976(1). 83–83. 2 indexed citations
5.
Geha, Marla, Yao-Yuan Mao, Mithi A. C. de los Reyes, et al.. (2024). SAGAbg. I. A Near-unity Mass-loading Factor in Low-mass Galaxies via Their Low-redshift Evolution in Stellar Mass, Oxygen Abundance, and Star Formation Rate. The Astrophysical Journal. 966(1). 129–129. 10 indexed citations
6.
Mao, Yao-Yuan, Marla Geha, Risa H. Wechsler, et al.. (2024). The SAGA Survey. III. A Census of 101 Satellite Systems around Milky Way–mass Galaxies. The Astrophysical Journal. 976(1). 117–117. 17 indexed citations
7.
Wang, Yunchong, Ethan O. Nadler, Yao-Yuan Mao, et al.. (2024). The SAGA Survey. V. Modeling Satellite Systems around Milky Way–Mass Galaxies with Updated UniverseMachine. The Astrophysical Journal. 976(1). 119–119. 5 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.
Schwartz, E., A. Pele, J. Warner, et al.. (2020). DSpace@MIT (Massachusetts Institute of Technology). 14 indexed citations
10.
Asali, Y., P. T. H. Pang, A. Samajdar, & Chris Van Den Broeck. (2020). Probing resonant excitations in exotic compact objects via gravitational waves. Physical review. D. 102(2). 8 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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