Christina Kay

901 total citations
31 papers, 557 citations indexed

About

Christina Kay is a scholar working on Astronomy and Astrophysics, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Christina Kay has authored 31 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Astronomy and Astrophysics, 11 papers in Molecular Biology and 4 papers in Psychiatry and Mental health. Recurrent topics in Christina Kay's work include Solar and Space Plasma Dynamics (23 papers), Ionosphere and magnetosphere dynamics (15 papers) and Astro and Planetary Science (10 papers). Christina Kay is often cited by papers focused on Solar and Space Plasma Dynamics (23 papers), Ionosphere and magnetosphere dynamics (15 papers) and Astro and Planetary Science (10 papers). Christina Kay collaborates with scholars based in United States, Germany and Austria. Christina Kay's co-authors include M. Opher, N. Gopalswamy, R. M. Evans, Stephen M. Rao, Michael Seidenberg, John L. Woodard, Kristy A. Nielson, J. Carson Smith, Erika Palmerio and Sally Durgerian and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

Christina Kay

31 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christina Kay United States 12 343 140 77 55 55 31 557
Nick Shrine United Kingdom 14 132 0.4× 98 0.7× 40 0.5× 11 0.2× 75 1.4× 32 560
Jiajia Liu China 15 573 1.7× 174 1.2× 9 0.1× 6 0.1× 16 0.3× 64 744
Joo-Cheol Shim South Korea 15 107 0.3× 135 1.0× 388 5.0× 36 0.7× 78 1.4× 37 887
M. Bruscoli Italy 6 81 0.2× 17 0.1× 325 4.2× 41 0.7× 124 2.3× 7 504
Elizabeth J. Watkins United Kingdom 12 82 0.2× 42 0.3× 8 0.1× 138 2.5× 24 0.4× 21 462
Andrew Coates United Kingdom 11 125 0.4× 11 0.1× 33 0.4× 21 0.4× 22 0.4× 29 267
Andreas Bell Germany 9 108 0.3× 47 0.3× 29 0.4× 9 0.2× 21 0.4× 17 312
Guoyuan Huang China 19 118 0.3× 17 0.1× 20 0.3× 165 3.0× 194 3.5× 51 944
Stanisław Kozłowski Poland 11 151 0.4× 11 0.1× 22 0.3× 19 0.3× 152 2.8× 42 416
Young‐Jong Sohn South Korea 16 696 2.0× 31 0.2× 20 0.3× 63 1.1× 30 0.5× 51 989

Countries citing papers authored by Christina Kay

Since Specialization
Citations

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

Fields of papers citing papers by Christina Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Kay. A scholar is included among the top collaborators of Christina Kay 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 Christina Kay. Christina Kay 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.
Carcaboso, Fernando, Mateja Dumbović, Christina Kay, et al.. (2024). Unveiling the journey of a highly inclined CME. Astronomy and Astrophysics. 684. A90–A90. 3 indexed citations
2.
Kay, Christina, et al.. (2024). Updating Measures of CME Arrival Time Errors. Space Weather. 22(7). 6 indexed citations
3.
Kay, Christina & Erika Palmerio. (2024). Collection, Collation, and Comparison of 3D Coronal CME Reconstructions. Space Weather. 22(1). 9 indexed citations
4.
Kay, Christina, Teresa Nieves‐Chinchilla, Stefan J. Hofmeister, & Erika Palmerio. (2023). An Efficient, Time‐Dependent High Speed Stream Model and Application to Solar Wind Forecasts. Space Weather. 21(5). 1 indexed citations
5.
Palmerio, Erika, et al.. (2023). Modeling CME encounters at Parker Solar Probe with OSPREI: Dependence on photospheric and coronal conditions. Astronomy and Astrophysics. 673. A96–A96. 5 indexed citations
6.
Kay, Christina, et al.. (2023). A Series of Advances in Analytic Interplanetary CME Modeling. Space Weather. 21(11). 4 indexed citations
7.
Kay, Christina, Vladimir Airapetian, T. Lüftinger, & O. Kochukhov. (2023). Frequency of coronal mass ejection impacts with early terrestrial planets and exoplanets around active solar-like stars. Figshare. 9 indexed citations
8.
Kay, Christina, Teresa Nieves‐Chinchilla, Stefan J. Hofmeister, & Erika Palmerio. (2022). Beyond Basic Drag in Interplanetary CME Modeling: Effects of Solar Wind Pileup and High‐Speed Streams. Space Weather. 20(9). 10 indexed citations
9.
Kay, Christina & Teresa Nieves‐Chinchilla. (2021). Modeling Interplanetary Expansion and Deformation of Coronal Mass Ejections With ANTEATR‐PARADE: Sensitivity to Input Parameters. Journal of Geophysical Research Space Physics. 126(6). 7 indexed citations
10.
Mason, James, Phillip C. Chamberlin, Daniel B. Seaton, et al.. (2021). SunCET: The Sun Coronal Ejection Tracker Concept. Journal of Space Weather and Space Climate. 11. 20–20. 17 indexed citations
11.
Dumbović, Mateja, M. L. Mays, Pete Riley, et al.. (2021). Forecasting the arrival time of coronal mass ejections. 43. 1038. 2 indexed citations
12.
Kay, Christina, Teresa Nieves‐Chinchilla, & L. K. Jian. (2020). FIDO‐SIT: The First Forward Model for the In Situ Magnetic Field of CME‐Driven Sheaths. Journal of Geophysical Research Space Physics. 125(2). 6 indexed citations
13.
Kay, Christina, et al.. (2019). CME deflections due to magnetic forces from the Sun and Kepler-63. Proceedings of the International Astronomical Union. 15(S354). 421–425. 1 indexed citations
14.
Kay, Christina, M. L. Mays, & C. Verbeke. (2019). Identifying Critical Input Parameters for Improving Drag‐Based CME Arrival Time Predictions. Space Weather. 18(1). 22 indexed citations
15.
Kay, Christina & N. Gopalswamy. (2017). Using the Coronal Evolution to Successfully Forward Model CMEs' In Situ Magnetic Profiles. Journal of Geophysical Research Space Physics. 122(12). 21 indexed citations
16.
Kay, Christina, Michael Seidenberg, Sally Durgerian, et al.. (2017). Motor timing intraindividual variability in amnestic mild cognitive impairment and cognitively intact elders at genetic risk for Alzheimer’s disease. Journal of Clinical and Experimental Neuropsychology. 39(9). 866–875. 9 indexed citations
17.
Smith, J. Carson, Kristy A. Nielson, John L. Woodard, et al.. (2014). Physical activity reduces hippocampal atrophy in elders at genetic risk for Alzheimer's disease. Frontiers in Aging Neuroscience. 6. 61–61. 111 indexed citations
18.
Seidenberg, Michael, Christina Kay, John L. Woodard, et al.. (2013). Recognition of famous names predicts cognitive decline in healthy elders.. Neuropsychology. 27(3). 333–342. 16 indexed citations
19.
Brasch, Jochen & Christina Kay. (2005). Effects of repeated low‐dose UVB irradiation on the hyphal growth of Candida albicans. Mycoses. 49(1). 1–5. 6 indexed citations
20.
Brigden, Malcolm L., et al.. (1998). Audit of the frequency and clinical response to excessive oral anticoagulation in an out-patient population. American Journal of Hematology. 59(1). 22–27. 53 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