M. S. Marsh

2.2k citations
59 papers · 1.5k · h-index 21

Impact in

Papers in

M. S. Marsh

56 papers receiving 1.5k citations

Peers

M. S. Marsh
Comparison fields: 5 of 117
  • Astronomy and Astrophysics 623
  • Obstetrics and Gynecology 133
  • Internal Medicine 59
  • Endocrinology, Diabetes and Metabolism 251
  • Orthopedics and Sports Medicine 109
Replace Bo Lindberg with:
Bo Lindberg Sweden
Babak Vakili Iran
Masaru Kubota Japan
Martin Beránek Czechia
Stefania Pedicelli Italy
Yujuan Liu China
Christopher N. Foley United Kingdom
Rainer J. Klement Germany
Minoru Kubota Japan
Hideo Sakamoto Japan
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside M. S. Marsh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. S. Marsh Line = papers co-authored together M. S. Marsh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002154
2 2007120
3 2015108
4 199496
5 201085
6 199672
7 200960
8 201658
9
Long-term effects of oral and transdermal hormone replacement therapies on serum lipid and lipoprotein concentrations.
199458
10 199254
11 201051
12 200345
13 201345
14 201337
15 200636
16 201535
17
Effect of continuous combined estrogen and desogestrel hormone replacement therapy on serum lipids and lipoproteins.
199430
18 201226
19 201123
20 199822

About M. S. Marsh

M. S. Marsh is a scholar working on Astronomy and Astrophysics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Artificial Intelligence and Obstetrics and Gynecology, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (25 papers), Ionosphere and magnetosphere dynamics (13 papers), Stellar, planetary, and galactic studies (12 papers), Astro and Planetary Science (11 papers), Menopause: Health Impacts and Treatments (8 papers), Geomagnetism and Paleomagnetism Studies (7 papers), Estrogen and related hormone effects (6 papers) and Solar Radiation and Photovoltaics (6 papers). The work is most often cited by research in Astronomy and Astrophysics (623 citations), Obstetrics and Gynecology (133 citations), Internal Medicine (59 citations), Endocrinology, Diabetes and Metabolism (251 citations) and Orthopedics and Sports Medicine (109 citations). M. S. Marsh has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent 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 Roopen Arya. Their work appears in journals such as The Astrophysical Journal, Astronomy and Astrophysics, Space Weather, Journal of Thrombosis and Haemostasis and BJOG An International Journal of Obstetrics & Gynaecology.

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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