Ryan M. Lau

1.8k total citations · 1 hit paper
41 papers, 355 citations indexed

About

Ryan M. Lau is a scholar working on Astronomy and Astrophysics, Computational Mechanics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ryan M. Lau has authored 41 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Astronomy and Astrophysics, 5 papers in Computational Mechanics and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ryan M. Lau's work include Stellar, planetary, and galactic studies (24 papers), Astrophysics and Star Formation Studies (20 papers) and Gamma-ray bursts and supernovae (18 papers). Ryan M. Lau is often cited by papers focused on Stellar, planetary, and galactic studies (24 papers), Astrophysics and Star Formation Studies (20 papers) and Gamma-ray bursts and supernovae (18 papers). Ryan M. Lau collaborates with scholars based in United States, Japan and Australia. Ryan M. Lau's co-authors include M. M. Kasliwal, Hongru Du, Lauren Gardner, Béatrice Garcia, Jeremy Ratcliff, David Zhang, Sayeed Choudhury, Jason D. Williams, Ensheng Dong and Aaron J. Katz and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Ryan M. Lau

31 papers receiving 319 citations

Hit Papers

The Johns Hopkins University Center for Systems Science a... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan M. Lau United States 9 200 46 42 31 26 41 355
Vanessa Böhm United States 6 122 0.6× 35 0.8× 17 0.4× 26 0.8× 6 0.2× 9 192
George Stein United States 7 211 1.1× 58 1.3× 17 0.4× 26 0.8× 6 0.2× 10 301
M. B. Purver United Kingdom 10 425 2.1× 93 2.0× 206 4.9× 100 3.2× 26 1.0× 12 717
Amaury Thiabaud Switzerland 10 311 1.6× 17 0.4× 41 1.0× 7 0.2× 28 1.1× 15 393
Subhabrata Majumdar United States 12 186 0.9× 75 1.6× 21 0.5× 7 0.2× 12 0.5× 26 359
Katherine Rosenfeld United States 11 1.0k 5.1× 8 0.2× 44 1.0× 63 2.0× 23 0.9× 17 1.1k
Gunnar Rø Norway 12 62 0.3× 87 1.9× 162 3.9× 77 2.5× 57 2.2× 27 394
F. Alvarado Chile 11 263 1.3× 9 0.2× 31 0.7× 2 0.1× 45 1.7× 67 385
M. Fitzpatrick United States 5 165 0.8× 13 0.3× 9 0.2× 3 0.1× 16 0.6× 13 267

Countries citing papers authored by Ryan M. Lau

Since Specialization
Citations

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

Fields of papers citing papers by Ryan M. Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan M. Lau. 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 Ryan M. Lau. The network helps show where Ryan M. Lau may publish in the future.

Co-authorship network of co-authors of Ryan M. Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan M. Lau. A scholar is included among the top collaborators of Ryan M. Lau 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 Ryan M. Lau. Ryan M. Lau 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.
Monnier, John D., Yinuo Han, M. F. Corcoran, et al.. (2025). Revealing the Accelerating Wind in the Inner Region of Colliding-wind Binary WR 112. The Astronomical Journal. 170(4). 218–218.
2.
Pope, Benjamin, Peter Tuthill, Yinuo Han, et al.. (2025). The Serpent Eating Its Own Tail: Dust Destruction in the Apep Colliding Wind Nebula. The Astrophysical Journal. 994(1). 121–121. 1 indexed citations
3.
Taniguchi, Kotomi, Ryan M. Lau, Takashi Onaka, et al.. (2025). The Aromatic Infrared Bands around the Wolf–Rayet Binary WR 140 Revealed by JWST. The Astrophysical Journal. 993(1). 104–104.
4.
Lau, Ryan M., J. Jencson, Colette Salyk, et al.. (2025). Revealing a Main-sequence Star that Consumed a Planet with JWST. The Astrophysical Journal. 983(2). 87–87. 3 indexed citations
5.
Han, Yinuo, J. R. Callingham, Ryan M. Lau, et al.. (2025). The Formation and Evolution of Dust in the Colliding-wind Binary Apep Revealed by JWST. The Astrophysical Journal. 994(1). 122–122. 1 indexed citations
6.
Richardson, Noel D., P. M. Williams, Grant M. Hill, et al.. (2024). The Long-period Spectroscopic Orbit and Dust Creation in the Wolf–Rayet Binary System WR 125. The Astrophysical Journal. 969(2). 140–140. 1 indexed citations
7.
Izumi, Natsuko, Michael E. Ressler, Ryan M. Lau, et al.. (2024). Overview Results of JWST Observations of Star-forming Clusters in the Extreme Outer Galaxy. The Astronomical Journal. 168(2). 68–68. 2 indexed citations
8.
Yan, Lin, J. Jencson, C. Fremling, et al.. (2024). WTP 19aalnxx: Discovery of a Bright Mid-infrared Transient in the Emerging Class of Low-luminosity Supernovae Revealed by Delayed Circumstellar Interaction. The Astrophysical Journal. 976(2). 230–230. 3 indexed citations
9.
Richardson, Noel D., P. M. Williams, В. И. Шенаврин, et al.. (2023). FORCASTing the Spectroscopic Dust Properties of the WC+O Binary WR 137 with SOFIA. The Astrophysical Journal. 956(2). 109–109. 3 indexed citations
10.
Lau, Ryan M., Jason Wang, M. Hankins, et al.. (2023). From Dust to Nanodust: Resolving Circumstellar Dust from the Colliding-wind Binary Wolf-Rayet 140. The Astrophysical Journal. 951(2). 89–89. 5 indexed citations
11.
Chakrabarty, Deepto, Roberto Soria, M. C. B. Ashley, et al.. (2022). A Massive AGB Donor in Scutum X-1: Identification of the First Mira Variable in an X-Ray Binary. The Astrophysical Journal Letters. 928(1). L8–L8. 1 indexed citations
12.
Lau, Ryan M., L. Burtscher, C. Packham, et al.. (2022). IR 2022: An infrared-bright future for ground-based IR observatories in the era of JWST. Nature Astronomy. 6(7). 772–773. 3 indexed citations
13.
Lau, Ryan M., et al.. (2022). Detection of a Broad 8 μm UIR Feature in the Mid-infrared Spectrum of WR 125 Observed with Subaru/COMICS. The Astrophysical Journal. 930(2). 116–116. 4 indexed citations
14.
Sakon, Itsuki, Takashi Onaka, Yuki Kimura, et al.. (2021). On the Nature of Organic Dust in Novae. The Astrophysical Journal. 917(2). 103–103. 11 indexed citations
15.
De, Kishalay, M. C. B. Ashley, M. M. Kasliwal, et al.. (2021). Second Timescale Photometry of the Very Fast Nova V1674 Her with Palomar Gattini-IR. Research Notes of the AAS. 5(10). 244–244. 1 indexed citations
16.
Karambelkar, Viraj, M. M. Kasliwal, P. Tisserand, et al.. (2021). Census of R Coronae Borealis Stars. I. Infrared Light Curves from Palomar Gattini IR. The Astrophysical Journal. 910(2). 132–132. 13 indexed citations
17.
Hankins, M., Lynne A. Hillenbrand, Kishalay De, et al.. (2020). Palomar Gattini-IR discovery and spectroscopic classification of a highly reddened YSO in outburst. The astronomer's telegram. 13902. 1.
18.
Han, Yinuo, Peter Tuthill, Ryan M. Lau, et al.. (2020). The extreme colliding-wind system Apep: resolved imagery of the central binary and dust plume in the infrared. Monthly Notices of the Royal Astronomical Society. 498(4). 5604–5619. 12 indexed citations
19.
Hankins, M., Kishalay De, M. M. Kasliwal, et al.. (2019). Near-infrared brightening of MAXI J1820+070/ ASASSN18ey detected with Palomar Gattini-IR. The astronomer's telegram. 13044. 1.
20.
Jencson, J., M. M. Kasliwal, S. M. Adams, et al.. (2018). . Liverpool John Moores University. 5 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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