M. S. Marsh

2.0k citations
55 papers · 1.4k · h-index 21

Impact in

Papers in

M. S. Marsh

54 papers receiving 1.3k citations

Peers

M. S. Marsh
Comparison fields: 5 of 96
  • Astronomy and Astrophysics 631
  • Endocrinology, Diabetes and Metabolism 223
  • Obstetrics and Gynecology 92
  • Orthopedics and Sports Medicine 101
  • Internal Medicine 36
Replace Masaru Kubota with:
Masaru Kubota Japan
Babak Vakili Iran
Pascal Lambert Canada
R. Barnard United Kingdom
Stefania Pedicelli Italy
Yujuan Liu China
Rainer J. Klement Germany
Martin Beránek Czechia
Edward C. Reifenstein United States
Thomas J. Barrett United States
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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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007120
2 2015111
3 199496
4 201086
5 199672
6 200960
7 201658
8
Long-term effects of oral and transdermal hormone replacement therapies on serum lipid and lipoprotein concentrations.
199458
9 199254
10 201053
11 200345
12 201345
13 201337
14 201536
15 200636
16
Effect of continuous combined estrogen and desogestrel hormone replacement therapy on serum lipids and lipoproteins.
199430
17 201227
18 201123
19 199822
20 199422

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 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (23 papers), Ionosphere and magnetosphere dynamics (12 papers), Stellar, planetary, and galactic studies (11 papers), Astro and Planetary Science (10 papers), Menopause: Health Impacts and Treatments (8 papers), Solar Radiation and Photovoltaics (6 papers), Geomagnetism and Paleomagnetism Studies (6 papers) and Bone health and osteoporosis research (3 papers). The work is most often cited by research in Astronomy and Astrophysics (631 citations), Endocrinology, Diabetes and Metabolism (223 citations), Obstetrics and Gynecology (92 citations), Orthopedics and Sports Medicine (101 citations) and Internal Medicine (36 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 Raj Patel. 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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