Marilyn E. Merriman

3.7k citations
33 papers · 2.1k indexed · 1 hit paper · h-index 20
Topics
Gout, Hyperuricemia, Uric Acid (9 papers)Diabetes and associated disorders (8 papers)Pancreatic function and diabetes (8 papers)

In The Last Decade

Marilyn E. Merriman

32 papers receiving 2.0k citations

Hit Papers

Susceptibility to human type 1 diabetes at IDDM2 is deter...19952026200520151995100200300400500

Peers

Marilyn E. Merriman
Comparison fields: 5 of 97
  • Genetics 1.1k
  • Surgery 610
  • Molecular Biology 608
  • Endocrinology, Diabetes and Metabolism 465
  • Immunology 376
Replace Linda Crofts with:
Linda Crofts Australia
Mette Kristiansen Denmark
Vijay Saxena United States
Otto Wegelius Finland
Alice Arabian Canada
Marja‐Liisa Lokki Finland
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GianFranco Bottazzo United Kingdom
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Marilyn E. Merriman relative to Linda Crofts Australia Linda Crofts's profile →
Citations per field
00.5×5.1×
Linda Crofts · 1×
Citations per year

Countries citing papers authored by Marilyn E. Merriman

Since Specialization
Citations

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

Fields of papers citing papers by Marilyn E. Merriman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marilyn E. Merriman. 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 Marilyn E. Merriman. The network helps show where Marilyn E. Merriman may publish in the future.

Co-authorship network of co-authors of Marilyn E. Merriman

This figure shows the co-authorship network connecting the top 25 collaborators of Marilyn E. Merriman. A scholar is included among the top collaborators of Marilyn E. Merriman 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 Marilyn E. Merriman. Marilyn E. Merriman 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
#WorkIndexed citations
1 4
2 4
3 0
4 59
5 79
6 15
7 90
8 94
9 13
10 35
11 77
12 124
13 11
14 34
15 251
16 106
17 58
18
LINKAGE MAPPING OF TYPE-1 DIABETES
72
19
Susceptibility to human type 1 diabetes at IDDM2 is determined by tandem repeat variation at the insulin gene minisatellite locusbreakdown →
583
20 29

About Marilyn E. Merriman

Marilyn E. Merriman is a scholar working on Nephrology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (9 papers), Diabetes and associated disorders (8 papers) and Pancreatic function and diabetes (8 papers). The work is most often cited by research in Nephrology (373 citations), Genetics (1.1k citations) and Endocrinology, Diabetes and Metabolism (465 citations). Marilyn E. Merriman has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Tony R. Merriman, John A. Todd, Stephen C. Bain, Anthony Barnett, Lisa K. Stamp, Andrew Harrison, Iain L. Lamont, Nicola Dalbeth, Peter Gow and John Highton. Their work appears in journals such as Nature Genetics, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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