David A. Wake

30.9k total citations · 1 hit paper
53 papers, 2.9k citations indexed

About

David A. Wake is a scholar working on Astronomy and Astrophysics, Instrumentation and Ecology. According to data from OpenAlex, David A. Wake has authored 53 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Astronomy and Astrophysics, 35 papers in Instrumentation and 9 papers in Ecology. Recurrent topics in David A. Wake's work include Galaxies: Formation, Evolution, Phenomena (52 papers), Astronomy and Astrophysical Research (35 papers) and Stellar, planetary, and galactic studies (12 papers). David A. Wake is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (52 papers), Astronomy and Astrophysical Research (35 papers) and Stellar, planetary, and galactic studies (12 papers). David A. Wake collaborates with scholars based in United States, United Kingdom and Germany. David A. Wake's co-authors include R. C. Nichol, Nicholas P. Ross, Kevin A. Pimbblet, S. M. Croom, Pieter van Dokkum, Katherine E. Whitaker, Marijn Franx, Gabriel Brammer, D. Thomas and Donald P. Schneider 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

David A. Wake

51 papers receiving 2.8k citations

Hit Papers

THE GROWTH OF MASSIVE GALAXIES SINCEz= 2 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Wake United States 28 2.9k 1.7k 361 199 137 53 2.9k
Tomotsugu Goto Taiwan 29 3.1k 1.1× 1.7k 1.0× 345 1.0× 287 1.4× 182 1.3× 128 3.2k
Marcello Cacciato United States 23 2.5k 0.9× 1.3k 0.8× 404 1.1× 249 1.3× 135 1.0× 28 2.5k
Renbin Yan United States 33 3.7k 1.3× 2.2k 1.3× 264 0.7× 238 1.2× 206 1.5× 102 3.8k
M. Capaccioli Italy 32 2.9k 1.0× 1.7k 1.0× 320 0.9× 178 0.9× 157 1.1× 123 3.1k
Edward N. Taylor Australia 29 2.3k 0.8× 1.5k 0.9× 195 0.5× 193 1.0× 118 0.9× 72 2.4k
Kevin A. Pimbblet United Kingdom 27 2.3k 0.8× 1.2k 0.7× 414 1.1× 137 0.7× 103 0.8× 100 2.4k
P. B. Tissera Argentina 31 3.4k 1.2× 1.9k 1.1× 290 0.8× 121 0.6× 144 1.1× 119 3.4k
D. G. Lambas Argentina 31 2.7k 0.9× 1.5k 0.9× 325 0.9× 329 1.7× 245 1.8× 159 2.8k
S. Phillipps United Kingdom 35 3.7k 1.3× 2.1k 1.3× 304 0.8× 230 1.2× 186 1.4× 206 3.8k
J. Annis United States 25 2.2k 0.8× 1.1k 0.6× 334 0.9× 216 1.1× 85 0.6× 58 2.3k

Countries citing papers authored by David A. Wake

Since Specialization
Citations

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

Fields of papers citing papers by David A. Wake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Wake. 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 David A. Wake. The network helps show where David A. Wake may publish in the future.

Co-authorship network of co-authors of David A. Wake

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Wake. A scholar is included among the top collaborators of David A. Wake 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 David A. Wake. David A. Wake 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.
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.
2.
Marchesini, Danilo, Casey Papovich, M. Nonino, et al.. (2024). The FENIKS Survey: Multiwavelength Photometric Catalog in the UDS Field, and Catalogs of Photometric Redshifts and Stellar Population Properties. The Astrophysical Journal. 969(2). 84–84.
3.
Whitaker, Katherine E., Ivelina Momcheva, Sam E. Cutler, et al.. (2024). 3D-DASH: The Evolution of Size, Shape, and Intrinsic Scatter in Populations of Young and Old Quiescent Galaxies at 0.5 < z < 3. The Astrophysical Journal. 971(1). 99–99. 3 indexed citations
4.
Klimenko, V. V., Varsha P. Kulkarni, David A. Wake, et al.. (2023). The Baryonic Content of Galaxies Mapped by MaNGA and the Gas Around Them. The Astrophysical Journal. 954(2). 115–115. 4 indexed citations
5.
Wuyts, Stijn, Sam E. Cutler, Lamiya Mowla, et al.. (2023). Dust attenuation, dust content, and geometry of star-forming galaxies. Monthly Notices of the Royal Astronomical Society. 524(3). 4128–4147. 10 indexed citations
6.
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
7.
Conroy, Charlie, David R. Law, Pieter van Dokkum, et al.. (2020). Spectroscopic Constraints on the Buildup of Intracluster Light in the Coma Cluster. The Astrophysical Journal. 894(1). 32–32. 16 indexed citations
8.
Marsan, Z. Cemile, Danilo Marchesini, Adam Muzzin, et al.. (2019). HST F160W Imaging of Very Massive Galaxies at 1.5 < z < 3.0: Diversity of Structures and the Effect of Close Pairs on Number Density Estimates. The Astrophysical Journal. 871(2). 201–201. 10 indexed citations
9.
Fu, Hai, Y. Sophia Dai, J. W. Isbell, et al.. (2018). SDSS-IV MaNGA: Galaxy Pair Fraction and Correlated Active Galactic Nuclei. The Astrophysical Journal. 856(2). 93–93. 31 indexed citations
10.
Belfiore, Francesco, R. Maiolino, Kevin Bundy, et al.. (2018). SDSS IV MaNGA – sSFR profiles and the slow quenching of discs in green valley galaxies. Monthly Notices of the Royal Astronomical Society. 477(3). 3014–3029. 120 indexed citations
11.
Kado-Fong, Erin, Danilo Marchesini, Z. Cemile Marsan, et al.. (2017). Near-infrared Spectroscopy of Five Ultra-massive Galaxies at 1.7 < z < 2.7. OakTrust (Texas A&M University Libraries). 5 indexed citations
12.
Greene, Jenny E., Alexie Leauthaud, Éric Emsellem, et al.. (2017). SDSS-IV MaNGA: Probing the Kinematic Morphology–Density Relation of Early-type Galaxies with MaNGA. The Astrophysical Journal Letters. 851(2). L33–L33. 27 indexed citations
13.
Jones, Amy, Guinevere Kauffmann, Richard D’Souza, et al.. (2016). SDSS IV MaNGA: Deep observations of extra-planar, diffuse ionized gas around late-type galaxies from stacked IFU spectra. Astronomy and Astrophysics. 599. A141–A141. 24 indexed citations
14.
Law, David R., Renbin Yan, Matthew A. Bershady, et al.. (2015). OBSERVING STRATEGY FOR THE SDSS-IV/MaNGA IFU GALAXY SURVEY. The Astronomical Journal. 150(1). 19–19. 260 indexed citations
15.
Guo, Hong, Zheng Zheng, Idit Zehavi, et al.. (2014). The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: modelling of the luminosity and colour dependence in the Data Release 10. Monthly Notices of the Royal Astronomical Society. 441(3). 2398–2413. 63 indexed citations
16.
Tal, Tomer, Pieter van Dokkum, Marijn Franx, et al.. (2013). Galaxy Environments over Cosmic Time: The Non-evolving Radial Galaxy Distributions around Massive Galaxies since <i>z</i> = 1.6. Open Research Online (The Open University). 16 indexed citations
17.
Kauffmann, Guinevere, Timothy M. Heckman, Christy Tremonti, et al.. (2013). Evolution of the most massive galaxies to z ∼ 0.6 – II. The link between radio AGN activity and star formation. Monthly Notices of the Royal Astronomical Society. 429(3). 2643–2654. 13 indexed citations
18.
Thomas, D., Oliver Steele, Claudia Maraston, et al.. (2012). Stellar velocity dispersions and emission line properties of SDSS-III/BOSS galaxies. Proceedings of the International Astronomical Union. 8(S295). 129–132. 1 indexed citations
19.
Hirata, Christopher M., Rachel Mandelbaum, Mustapha Ishak, et al.. (2007). Intrinsic galaxy alignments from the 2SLAQ and SDSS surveys: luminosity and redshift scalings and implications for weak lensing surveys. Monthly Notices of the Royal Astronomical Society. 381(3). 1197–1218. 167 indexed citations
20.
Ross, Nicholas P., T. Shanks, David A. Wake, et al.. (2007). The 2dF-SDSS LRG and QSO Survey: the LRG 2-point correlation function and redshift-space distortions. Monthly Notices of the Royal Astronomical Society. 381(2). 573–588. 118 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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