Lachlan Lancaster

785 total citations
17 papers, 447 citations indexed

About

Lachlan Lancaster is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, Lachlan Lancaster has authored 17 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Astronomy and Astrophysics, 5 papers in Nuclear and High Energy Physics and 3 papers in Instrumentation. Recurrent topics in Lachlan Lancaster's work include Astrophysics and Star Formation Studies (8 papers), Stellar, planetary, and galactic studies (8 papers) and Galaxies: Formation, Evolution, Phenomena (7 papers). Lachlan Lancaster is often cited by papers focused on Astrophysics and Star Formation Studies (8 papers), Stellar, planetary, and galactic studies (8 papers) and Galaxies: Formation, Evolution, Phenomena (7 papers). Lachlan Lancaster collaborates with scholars based in United States, United Kingdom and France. Lachlan Lancaster's co-authors include Philip Mocz, Pierre-Henri Chavanis, Anastasia Fialkov, Fernando Becerra, Mark Vogelsberger, N. W. Evans, Vasily Belokurov, Mustafa A. Amin, Jesús Zavala and Victor H. Robles and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Lachlan Lancaster

15 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lachlan Lancaster United States 10 399 235 68 63 40 17 447
Fernando Becerra United States 6 357 0.9× 223 0.9× 27 0.4× 60 1.0× 37 0.9× 8 399
Bodo Schwabe Germany 8 540 1.4× 494 2.1× 16 0.2× 117 1.9× 66 1.6× 8 603
R. F. L. Holanda Brazil 15 662 1.7× 279 1.2× 63 0.9× 23 0.4× 26 0.7× 52 701
M. Rameez France 8 415 1.0× 296 1.3× 47 0.7× 13 0.2× 29 0.7× 25 510
Tanja Rindler-Daller Austria 13 547 1.4× 469 2.0× 8 0.1× 165 2.6× 54 1.4× 22 610
Ayuki Kamada Japan 13 514 1.3× 631 2.7× 24 0.4× 67 1.1× 42 1.1× 38 683
Alireza Hojjati Canada 14 509 1.3× 264 1.1× 63 0.9× 25 0.4× 24 0.6× 20 523
Claudio Llinares Norway 15 645 1.6× 360 1.5× 79 1.2× 21 0.3× 24 0.6× 29 673
Julian Adamek Switzerland 16 660 1.7× 430 1.8× 24 0.4× 44 0.7× 52 1.3× 37 704
Malte Buschmann United States 12 354 0.9× 511 2.2× 10 0.1× 59 0.9× 12 0.3× 20 580

Countries citing papers authored by Lachlan Lancaster

Since Specialization
Citations

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

Fields of papers citing papers by Lachlan Lancaster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lachlan Lancaster

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

All Works

17 of 17 papers shown
1.
Lancaster, Lachlan, et al.. (2026). Taming the Tarantula: How Stellar Wind Feedback Shapes Gas and Dust in 30 Doradus. The Astrophysical Journal. 998(2). 318–318.
2.
Metzger, Brian D., et al.. (2025). Suppression of Shock X-Ray Emission in Novae from Turbulent Mixing with Cool Gas. The Astrophysical Journal. 988(2). 211–211.
3.
Somerville, Rachel S., et al.. (2025). Density-modulated star formation efficiency: implications for the observed abundance of ultraviolet luminous galaxies at z > 10. Monthly Notices of the Royal Astronomical Society. 544(4). 3774–3798. 3 indexed citations
4.
Lancaster, Lachlan, Jeong‐Gyu Kim, Greg L. Bryan, et al.. (2025). The Coevolution of Stellar Wind-blown Bubbles and Photoionized Gas. I. Physical Principles and a Semianalytic Model. The Astrophysical Journal. 989(1). 42–42. 1 indexed citations
5.
Lancaster, Lachlan, Chang‐Goo Kim, Jeong‐Gyu Kim, Eve C. Ostriker, & Greg L. Bryan. (2025). The Coevolution of Stellar Wind-blown Bubbles and Photoionized Gas. II. 3D RMHD Simulations and Tests of Semianalytic Models. The Astrophysical Journal. 989(1). 43–43. 3 indexed citations
6.
Lancaster, Lachlan, et al.. (2024). The Interplay between the Initial Mass Function and Star Formation Efficiency through Radiative Feedback at High Stellar Surface Densities. The Astrophysical Journal Letters. 967(2). L28–L28. 26 indexed citations
7.
Lopez, Laura A., Anna L. Rosen, Lachlan Lancaster, et al.. (2024). Detection of Diffuse Hot Gas around the Young, Potential Superstar Cluster H72.97–69.39. The Astrophysical Journal. 977(1). 45–45. 2 indexed citations
8.
Lancaster, Lachlan, Eve C. Ostriker, Chang‐Goo Kim, Jeong‐Gyu Kim, & Greg L. Bryan. (2024). Geometry, Dissipation, Cooling, and the Dynamical Evolution of Wind-blown Bubbles. The Astrophysical Journal. 970(1). 18–18. 16 indexed citations
9.
Mocz, Philip, Anastasia Fialkov, Mark Vogelsberger, et al.. (2023). Cosmological structure formation and soliton phase transition in fuzzy dark matter with axion self-interactions. Monthly Notices of the Royal Astronomical Society. 521(2). 2608–2615. 26 indexed citations
10.
Besla, Gurtina, Philip Mocz, Nicolás Garavito-Camargo, et al.. (2023). Structure, Kinematics, and Observability of the Large Magellanic Cloud’s Dynamical Friction Wake in Cold versus Fuzzy Dark Matter. The Astrophysical Journal. 954(2). 163–163. 12 indexed citations
11.
Kado-Fong, Erin, Chang‐Goo Kim, Jenny E. Greene, & Lachlan Lancaster. (2022). Ultra-diffuse Galaxies as Extreme Star-forming Environments. II. Star Formation and Pressure Balance in H i-rich UDGs. The Astrophysical Journal. 939(2). 101–101. 11 indexed citations
12.
Lancaster, Lachlan, Jenny E. Greene, Yuan-Sen Ting, et al.. (2020). A Mystery in Chamaeleon: Serendipitous Discovery of a Galactic Symbiotic Nova. Edinburgh Research Explorer. 6 indexed citations
13.
Mocz, Philip, Anastasia Fialkov, Mark Vogelsberger, et al.. (2020). Galaxy formation with BECDM – II. Cosmic filaments and first galaxies. Monthly Notices of the Royal Astronomical Society. 494(2). 2027–2044. 69 indexed citations
14.
Lancaster, Lachlan, S. E. Koposov, Vasily Belokurov, N. W. Evans, & Alis J. Deason. (2019). The halo’s ancient metal-rich progenitor revealed with BHB stars. Monthly Notices of the Royal Astronomical Society. 486(1). 378–389. 60 indexed citations
15.
Mocz, Philip, Anastasia Fialkov, Mark Vogelsberger, et al.. (2019). First Star-Forming Structures in Fuzzy Cosmic Filaments. Physical Review Letters. 123(14). 141301–141301. 105 indexed citations
16.
Lancaster, Lachlan, Vasily Belokurov, & N. W. Evans. (2019). Quantifying the smoothness of the stellar halo: a link to accretion history. Monthly Notices of the Royal Astronomical Society. 484(2). 2556–2565. 12 indexed citations
17.
Mocz, Philip, Lachlan Lancaster, Anastasia Fialkov, Fernando Becerra, & Pierre-Henri Chavanis. (2018). Schrödinger-Poisson–Vlasov-Poisson correspondence. Physical review. D. 97(8). 95 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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Rankless by CCL
2026