M. S. Marsh

2.2k total citations
59 papers, 1.5k citations indexed

About

M. S. Marsh is a scholar working on Astronomy and Astrophysics, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, M. S. Marsh has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Astronomy and Astrophysics, 12 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Molecular Biology. Recurrent topics in M. S. Marsh's work include Solar and Space Plasma Dynamics (25 papers), Ionosphere and magnetosphere dynamics (13 papers) and Stellar, planetary, and galactic studies (12 papers). M. S. Marsh is often cited by papers focused on Solar and Space Plasma Dynamics (25 papers), Ionosphere and magnetosphere dynamics (13 papers) and Stellar, planetary, and galactic studies (12 papers). M. S. Marsh collaborates with scholars based in United Kingdom, United States and Belgium. M. S. Marsh's co-authors include S. Dalla, R. W. Walsh, Veronica O’Keane, T. Laitinen, Malcolm Whitehead, MI Whitehead, M. C. Ellerington, John C. Stevenson, I. De Moortel and Raj Patel and has published in prestigious journals such as Circulation, The Astrophysical Journal and Journal of Molecular Biology.

In The Last Decade

M. S. Marsh

56 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. S. Marsh United Kingdom 21 623 357 251 218 196 59 1.5k
Bo Lindberg Sweden 24 393 0.6× 160 0.4× 145 0.6× 168 0.8× 293 1.5× 101 2.0k
Rainer J. Klement Germany 29 172 0.3× 687 1.9× 319 1.3× 166 0.8× 228 1.2× 96 2.3k
Laura Chang United States 16 145 0.2× 316 0.9× 312 1.2× 109 0.5× 195 1.0× 22 1.2k
Babak Vakili Iran 21 579 0.9× 156 0.4× 119 0.5× 32 0.1× 74 0.4× 81 2.2k
Masaru Kubota Japan 18 159 0.3× 285 0.8× 126 0.5× 68 0.3× 51 0.3× 90 1.7k
Stefania Pedicelli Italy 18 463 0.7× 130 0.4× 195 0.8× 93 0.4× 28 0.1× 32 900
J. F. Clark United States 15 216 0.3× 519 1.5× 85 0.3× 159 0.7× 119 0.6× 57 1.1k
Yujuan Liu China 20 67 0.1× 440 1.2× 114 0.5× 183 0.8× 29 0.1× 87 1.1k
D. Del Moro Italy 21 1.0k 1.7× 351 1.0× 111 0.4× 24 0.1× 66 0.3× 130 1.5k
Edward C. Reifenstein United States 12 238 0.4× 57 0.2× 46 0.2× 123 0.6× 50 0.3× 27 625

Countries citing papers authored by M. S. Marsh

Since Specialization
Citations

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

Fields of papers citing papers by M. S. Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. S. Marsh. 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 M. S. Marsh. The network helps show where M. S. Marsh may publish in the future.

Co-authorship network of co-authors of M. S. Marsh

This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Marsh. A scholar is included among the top collaborators of M. S. Marsh 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 M. S. Marsh. M. S. Marsh 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.
Chan, Shiao‐Yng, M. S. Marsh, Jackie Gilbert, et al.. (2025). Management of Thyroid Disorders in Pregnancy. BJOG An International Journal of Obstetrics & Gynaecology. 132(8). e130–e161. 1 indexed citations
2.
Owens, M. J., Luke Barnard, M. S. Marsh, et al.. (2024). Adapting Ensemble‐Calibration Techniques to Probabilistic Solar‐Wind Forecasting. Space Weather. 22(12). 1 indexed citations
3.
Lang, Matthew, M. J. Owens, A. W. Smith, et al.. (2023). Solar Wind Data Assimilation in an Operational Context: Use of Near‐Real‐Time Data and the Forecast Value of an L5 Monitor. Space Weather. 21(5). 7 indexed citations
4.
Marsh, M. S., et al.. (2022). Deep Learning-Based Segmentation of Cryo-Electron Tomograms. Journal of Visualized Experiments. 7 indexed citations
5.
Dalla, S., G. A. de Nolfo, A. Bruno, et al.. (2020). 3D propagation of relativistic solar protons through interplanetary space. Springer Link (Chiba Institute of Technology). 19 indexed citations
6.
Taktakishvili, A., M. L. Mays, Jesse Andries, et al.. (2016). Community-wide space weather Scoreboards: Facilitating the Validation of Real-time CME, Flare, and SEP Forecasts. AGU Fall Meeting Abstracts. 2019. 2 indexed citations
7.
Dierckxsens, M., K. Tziotziou, S. Dalla, et al.. (2014). The COMESEP SEP forecast tool. EGUGA. 6837. 1 indexed citations
8.
Patel, Jignesh P., Vivian Auyeung, Raj Patel, et al.. (2012). Women’s views on and adherence to low‐molecular‐weight heparin therapy during pregnancy and the puerperium. Journal of Thrombosis and Haemostasis. 10(12). 2526–2534. 26 indexed citations
9.
Patel, Jignesh P., et al.. (2011). Polybrene can neutralise enoxaparin in plasma being tested for thrombin generation, however this effect is concentration dependent. Journal of Thrombosis and Haemostasis. 9. 129–129. 1 indexed citations
10.
Swainson, Jennifer, M. S. Marsh, & Philip G. Tibbo. (2010). Psychiatric Residents as Teachers: Development and Evaluation of a Teaching Manual. Academic Psychiatry. 34(4). 305–309. 14 indexed citations
11.
Rogers, Helen, et al.. (2010). Conversion of pregnant patients with type 1 diabetes from multiple injection therapy to continuous subcutaneous insulin infusion in early pregnancy is safe and efficacious. Diabetologia. 53. 2 indexed citations
12.
Marsh, M. S., et al.. (2002). Assessment of the cervix in the third trimester of pregnancy using transvaginal ultrasound scanning. European Journal of Obstetrics & Gynecology and Reproductive Biology. 105(1). 31–35. 17 indexed citations
13.
Marsh, M. S., et al.. (1998). Uterine artery blood flow parameters in women with dysfunctional uterine bleeding and uterine fibroids: the effects of tranexamic acid. Ultrasound in Obstetrics and Gynecology. 11(4). 283–285. 22 indexed citations
14.
Marsh, M. S., T. Bourne, Malcolm I. Whitehead, William P. Collins, & Stuart Campbell. (1994). The temporal effect of progestogen on uterine artery pulsatility index in postmenopausal women receiving sequential hormone replacement therapy. Fertility and Sterility. 62(4). 771–774. 22 indexed citations
15.
Marsh, M. S., et al.. (1994). The visual evoked potential in the assessment of central nervous system effects of pre‐eclampsia: a pilot study. BJOG An International Journal of Obstetrics & Gynaecology. 101(4). 343–346. 5 indexed citations
16.
Marsh, M. S., et al.. (1994). Paradoxical effects of hormone replacement therapy on breast tenderness in postmenopausal women. Maturitas. 19(2). 97–102. 5 indexed citations
17.
Marsh, M. S., et al.. (1994). Differences in the pattern visual evoked potential between pregnant and non-pregnant women. Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section. 92(2). 102–106. 13 indexed citations
18.
Marsh, M. S. & JohnC. Stevenson. (1993). Alternatives to HRT in prevention and treatment. Baillière s Clinical Rheumatology. 7(3). 549–560. 3 indexed citations
19.
Marsh, M. S. & Malcolm Whitehead. (1992). Management of the menopause. British Medical Bulletin. 48(2). 426–457. 54 indexed citations
20.
Saunders, Nigel J., et al.. (1992). The prognostic value of fetal ultrasonography before induction of labour. BJOG An International Journal of Obstetrics & Gynaecology. 99(11). 903–906. 12 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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