Anna Moore

2.9k total citations
84 papers, 948 citations indexed

About

Anna Moore is a scholar working on Astronomy and Astrophysics, Instrumentation and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Anna Moore has authored 84 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Astronomy and Astrophysics, 32 papers in Instrumentation and 31 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Anna Moore's work include Adaptive optics and wavefront sensing (31 papers), Astronomy and Astrophysical Research (31 papers) and Stellar, planetary, and galactic studies (26 papers). Anna Moore is often cited by papers focused on Adaptive optics and wavefront sensing (31 papers), Astronomy and Astrophysical Research (31 papers) and Stellar, planetary, and galactic studies (26 papers). Anna Moore collaborates with scholars based in United States, Australia and Japan. Anna Moore's co-authors include Patrick Morrissey, D. Christopher Martin, Mateusz Matuszewski, Charles C. Steidel, Neville Exon, James D. Neill, Peter Lock, Raelene J. Grumont, Steve Gerondakis and H.M.J. Stagg and has published in prestigious journals such as Nature, Immunity and Journal of the American College of Cardiology.

In The Last Decade

Anna Moore

75 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Moore United States 19 482 263 178 105 79 84 948
Hajime Kawahara Japan 19 758 1.6× 160 0.6× 67 0.4× 105 1.0× 23 0.3× 58 1.0k
Simon L. Grimm Switzerland 21 1.2k 2.6× 239 0.9× 54 0.3× 11 0.1× 34 0.4× 52 1.6k
John Marshall United States 20 252 0.5× 37 0.1× 79 0.4× 10 0.1× 73 0.9× 71 1.3k
Michael W. Regan United States 31 2.4k 5.0× 824 3.1× 79 0.4× 141 1.3× 87 1.1× 96 2.9k
Long Wang China 23 1.5k 3.1× 441 1.7× 51 0.3× 85 0.8× 18 0.2× 66 1.7k
M. Schneider United States 16 449 0.9× 203 0.8× 78 0.4× 81 0.8× 38 0.5× 47 743
Chen Xu China 15 308 0.6× 96 0.4× 21 0.1× 16 0.2× 5 0.1× 42 1.0k
R. A. Cameron United States 22 1.2k 2.5× 117 0.4× 313 1.8× 882 8.4× 68 0.9× 70 1.8k
P. A. Jones Australia 23 1.3k 2.8× 100 0.4× 102 0.6× 389 3.7× 21 0.3× 97 1.7k
Robyn E. Sanderson United States 21 1.5k 3.1× 591 2.2× 37 0.2× 244 2.3× 32 0.4× 64 1.6k

Countries citing papers authored by Anna Moore

Since Specialization
Citations

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

Fields of papers citing papers by Anna Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Moore. A scholar is included among the top collaborators of Anna Moore 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 Anna Moore. Anna Moore 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.
Karambelkar, Viraj, M. M. Kasliwal, Kishalay De, et al.. (2025). A Spectral Library and Census of Near-infrared Stellar Large-amplitude Variables from Palomar Gattini-IR. Publications of the Astronomical Society of the Pacific. 137(11). 114205–114205.
2.
Kenyon, Elizabeth, et al.. (2024). Inhibition of miR-10b treats metastatic breast cancer by targeting stem cell-like properties. Oncotarget. 15(1). 591–606. 8 indexed citations
3.
Karambelkar, Viraj, M. M. Kasliwal, M. C. B. Ashley, et al.. (2024). An Automated Catalog of Long Period Variables using Infrared Lightcurves from Palomar Gattini-IR. Publications of the Astronomical Society of the Pacific. 136(8). 84203–84203. 2 indexed citations
4.
De, Kishalay, M. C. B. Ashley, Lynne A. Hillenbrand, et al.. (2024). The First Palomar Gattini-IR Catalog of J-band Light Curves: Construction and Public Data Release. Publications of the Astronomical Society of the Pacific. 136(10). 104501–104501. 3 indexed citations
5.
Martin, D. Christopher, Behnam Darvish, Renyue Cen, et al.. (2023). Extensive diffuse Lyman-α emission correlated with cosmic structure. Nature Astronomy. 7(11). 1390–1401. 6 indexed citations
6.
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
7.
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
8.
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
9.
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.
10.
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.
11.
Hankins, M., M. M. Kasliwal, J. L. Sokoloski, et al.. (2019). Palomar Gattini-IR NIR discovery and classification of a highly reddened galactic classical nova PGIR19brv / AT2019qwf. The astronomer's telegram. 13130. 1.
12.
Schöck, Matthias, David R. Andersen, John A. Rogers, et al.. (2016). Flowdown of the TMT astrometry error budget(s) to the IRIS design. CaltechAUTHORS (California Institute of Technology). 3 indexed citations
13.
Martin, D. Christopher, Mateusz Matuszewski, Patrick Morrissey, et al.. (2015). A giant protogalactic disk linked to the cosmic web. Nature. 524(7564). 192–195. 44 indexed citations
14.
Bouchez, Antonin, Jeremy A. Roberts, Mitchell Troy, et al.. (2007). High-contrast Adaptive Optics on the 200-in. Telescope at Palomar Mountain. amos. 1 indexed citations
15.
Bouchez, Antonin, Richard Dekany, John Angione, et al.. (2007). Palomar Laser Guide Star Adaptive Optics Observations of Globular Cluster GLIMPSE-C01. AAS. 211. 1 indexed citations
16.
Grumont, Raelene J., et al.. (2004). The Mitogen-Induced Increase in T Cell Size Involves PKC and NFAT Activation of Rel/NF-κB-Dependent c-myc Expression. Immunity. 21(1). 19–30. 90 indexed citations
17.
Ragazzoni, Roberto, G. Bono, Piero Salinari, et al.. (2004). A wide-field telescope for MACHO searching at Dome C. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5489. 481–481.
18.
Louie, Eric K., et al.. (1990). Reduced atrial contribution to left ventricular filling in patients with severe tricuspid regurgitation after tricuspid valvulectomy: A Doppler echocardiographic study. Journal of the American College of Cardiology. 16(7). 1617–1624. 35 indexed citations
19.
Moore, Anna. (1978). Special care of human milk. BMJ. 2(6144). 1085.1–1085. 1 indexed citations
20.
Moore, Anna. (1968). Licence to Practise in the U.S.A. BMJ. 3(5621). 806.2–806. 1 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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