Mary Seed

6.3k citations
116 papers · 4.6k indexed · h-index 39

Impact in

Papers in

    • Diabetes, Cardiovascular Risks, and Lipoproteins 21
    • Hormonal and reproductive studies 12
    • Menopause: Health Impacts and Treatments 8
    • Lipoproteins and Cardiovascular Health 64
    • Cholesterol and Lipid Metabolism 9

Mary Seed

115 papers receiving 4.3k citations

Peers

Mary Seed
Comparison fields: 5 of 126
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Cancer Research 987
  • Surgery 2.7k
  • Cardiology and Cardiovascular Medicine 1.0k
  • Transplantation 48
Replace Evan A. Stein with:
Evan A. Stein United States
Basil M. Rifkind United States
Alper Sönmez Türkiye
Helmut G. Schrott United States
Viviane Nicaud France
Bernard Cantin Canada
Marianne Benn Denmark
Christoph Meier Switzerland
Peter M. Laskarzewski United States
Giacomo Ruotolo United States
Mary Seed relative to Evan A. Stein United States Evan A. Stein's profile →
Citations per field
00.5×1.6×
Evan A. Stein · 1×
Citations per year

Countries citing papers authored by Mary Seed

Since Specialization
Citations

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

Fields of papers citing papers by Mary Seed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mary Seed, 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 Mary Seed Line = papers co-authored together Mary Seed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201489
2 20121
3 201119
4 200425
5 200210
6 200140
7 20001
8 199970
9 199420
10 199421
11 199434
12 199235
13 199289
14 199190
15 1990484
16 199015
17
Genotypic and phenotypic variation in familial hypercholesterolemia.
198940
18 19867
19 19866
20 19867

About Mary Seed

Mary Seed is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Transplantation, Cancer Research and Research and Theory, having authored 116 papers that have together received 4.6k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (64 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers), Cancer, Lipids, and Metabolism (19 papers), Lipid metabolism and disorders (13 papers), Hormonal and reproductive studies (12 papers), Estrogen and related hormone effects (10 papers), Cholesterol and Lipid Metabolism (9 papers) and Menopause: Health Impacts and Treatments (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Cancer Research (987 citations), Surgery (2.7k citations), Cardiology and Cardiovascular Medicine (1.0k citations) and Transplantation (48 citations). Mary Seed has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Steve E. Humphries, V. Wynn, Gilbert R. Thompson, D.A. Reaveley, Gerd Utermann, Eric Boerwinkle, Fritz Hoppichler, Susan McCarthy, Peter Adams and M O'Donnell. Their work appears in journals such as Atherosclerosis, The Lancet, Journal of Medical Genetics, European Heart Journal and Arteriosclerosis Thrombosis and Vascular Biology.

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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