Moa Persson

1.2k total citations
44 papers, 703 citations indexed

About

Moa Persson is a scholar working on Astronomy and Astrophysics, Molecular Biology and Geophysics. According to data from OpenAlex, Moa Persson has authored 44 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Astronomy and Astrophysics, 10 papers in Molecular Biology and 10 papers in Geophysics. Recurrent topics in Moa Persson's work include Planetary Science and Exploration (29 papers), Astro and Planetary Science (28 papers) and Ionosphere and magnetosphere dynamics (18 papers). Moa Persson is often cited by papers focused on Planetary Science and Exploration (29 papers), Astro and Planetary Science (28 papers) and Ionosphere and magnetosphere dynamics (18 papers). Moa Persson collaborates with scholars based in Sweden, France and United States. Moa Persson's co-authors include H. J. Opgenoorth, F. Forme, Jan‐Erik Wahlund, Yoshifumi Futaana, T. I. Pulkkinen, H. Nilsson, R. Pellinen, H. J. Opgenoorth, A. Fedorov and Е. В. Мишин and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and The Astrophysical Journal.

In The Last Decade

Moa Persson

36 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moa Persson Sweden 15 683 227 210 62 49 44 703
J. Westfall United States 3 778 1.1× 235 1.0× 211 1.0× 23 0.4× 32 0.7× 7 784
I. J. Cohen United States 17 727 1.1× 183 0.8× 243 1.2× 33 0.5× 38 0.8× 79 741
Zhaoguo He China 17 853 1.2× 437 1.9× 159 0.8× 45 0.7× 48 1.0× 53 875
Mario Marckwordt United States 6 1.2k 1.8× 233 1.0× 428 2.0× 40 0.6× 60 1.2× 15 1.2k
R. Gill Sweden 6 531 0.8× 118 0.5× 188 0.9× 68 1.1× 38 0.8× 9 561
H. Dahlgren Sweden 14 390 0.6× 146 0.6× 100 0.5× 74 1.2× 74 1.5× 36 414
M. Greffen Canada 9 574 0.8× 233 1.0× 236 1.1× 62 1.0× 42 0.9× 14 591
Run Shi China 15 912 1.3× 459 2.0× 156 0.7× 65 1.0× 108 2.2× 54 945
Hiroshi Miyaoka Japan 12 473 0.7× 215 0.9× 149 0.7× 64 1.0× 60 1.2× 51 507
Balázs Heilig Hungary 13 529 0.8× 281 1.2× 300 1.4× 51 0.8× 50 1.0× 45 624

Countries citing papers authored by Moa Persson

Since Specialization
Citations

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

Fields of papers citing papers by Moa Persson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moa Persson

This figure shows the co-authorship network connecting the top 25 collaborators of Moa Persson. A scholar is included among the top collaborators of Moa Persson 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 Moa Persson. Moa Persson 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.
Zhang, Chi, Chuanfei Dong, Hongyang Zhou, et al.. (2025). Anomalous transient enhancement of planetary ion escape at Mars. Nature Communications. 16(1). 3159–3159. 5 indexed citations
2.
Persson, Moa & E. Vigren. (2024). Bridging Model–Data Discrepancies in Mars’ Dayside Ionosphere: Exploring Varying Reaction Rate Coefficients. The Astrophysical Journal. 970(2). 125–125. 1 indexed citations
3.
Xu, Shaosui, D. L. Mitchell, P. L. Whittlesey, et al.. (2024). Closed magnetic topology in the Venusian magnetotail and ion escape at Venus. Nature Communications. 15(1). 6065–6065. 4 indexed citations
4.
Gao, Jiawei, Shibang Li, Anna Mittelholz, et al.. (2024). Two distinct current systems in the ionosphere of Mars. Nature Communications. 15(1). 9704–9704. 3 indexed citations
5.
Harada, Yuki, Y. Saito, Lina Hadid, et al.. (2024). Deep Entry of Low‐Energy Ions Into Mercury’s Magnetosphere: BepiColombo Mio’s Third Flyby Observations. Journal of Geophysical Research Space Physics. 129(8). 1 indexed citations
6.
André, Nicolás, Sae Aizawa, Yuki Harada, et al.. (2024). Structure and dynamics of the Hermean magnetosphere revealed by electron observations from the Mercury electron analyzer after the first three Mercury flybys of BepiColombo. Astronomy and Astrophysics. 687. A243–A243. 1 indexed citations
7.
Fowler, C. M., S. Ledvina, C. C. Chaston, et al.. (2024). Pioneer Venus Orbiter Observations of Solar Wind Driven Magnetosonic Waves Interacting With the Dayside Venusian Ionosphere. Geophysical Research Letters. 51(12).
8.
Persson, Moa, Yoshifumi Futaana, Sae Aizawa, et al.. (2023). Influence of Solar Wind Variations on the Shapes of Venus’ Plasma Boundaries Based on Venus Express Observations. The Astrophysical Journal. 954(1). 95–95. 6 indexed citations
9.
Xu, Shaosui, R. A. Frahm, Yingjuan Ma, et al.. (2023). Statistical Mapping of Magnetic Topology at Venus. Journal of Geophysical Research Space Physics. 128(12). 3 indexed citations
10.
Järvinen, R., D. J. Andrews, N. J. T. Edberg, et al.. (2023). Solar Orbiter Data‐Model Comparison in Venus' Induced Magnetotail. Journal of Geophysical Research Space Physics. 128(2). 1 indexed citations
11.
Gillmann, Cédric, M. J. Way, Guillaume Avice, et al.. (2022). The Long-Term Evolution of the Atmosphere of Venus: Processes and Feedback Mechanisms. Space Science Reviews. 218(7). 37 indexed citations
12.
Zhang, Chi, Yoshifumi Futaana, H. Nilsson, et al.. (2022). Mars‐Ward Ion Flows in the Martian Magnetotail: Mars Express Observations. Geophysical Research Letters. 49(21). 13 indexed citations
13.
Harada, Yuki, Sae Aizawa, Y. Saito, et al.. (2022). BepiColombo Mio Observations of Low‐Energy Ions During the First Mercury Flyby: Initial Results. Geophysical Research Letters. 49(17). 6 indexed citations
14.
Wieser, Gabriella Stenberg, et al.. (2021). Proton Temperature Anisotropies in the Venus Plasma Environment During Solar Minimum and Maximum. Journal of Geophysical Research Space Physics. 127(1). 7 indexed citations
15.
Nilsson, H., Gabriella Stenberg Wieser, Mats Holmström, et al.. (2021). Solar cycle variation of ion escape from Mars. Icarus. 393. 114610–114610. 14 indexed citations
16.
Persson, Moa, Yoshifumi Futaana, Robin Ramstad, et al.. (2020). The Venusian Atmospheric Oxygen Ion Escape: Extrapolation to the Early Solar System. Journal of Geophysical Research Planets. 125(3). 28 indexed citations
17.
Wieser, Gabriella Stenberg, M. André, Martin Wieser, et al.. (2019). Proton Temperature Anisotropies in the Plasma Environment of Venus. Journal of Geophysical Research Space Physics. 124(5). 3312–3330. 13 indexed citations
18.
Collinson, G., D. G. Sibeck, Nick Omidi, et al.. (2017). Spontaneous hot flow anomalies at Mars and Venus. Journal of Geophysical Research Space Physics. 122(10). 9910–9923. 18 indexed citations
19.
Opgenoorth, H. J., Moa Persson, M. Lockwood, et al.. (1997). A new family of geomagnetic disturbance indices. CentAUR (University of Reading). 1198. 49. 3 indexed citations
20.
Williams, P. J. S., et al.. (1994). The electrodynamics of a drifting auroral arc. Annales Geophysicae. 12(5). 478–480. 27 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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