Margaret Town

1.4k citations
17 papers · 950 indexed · h-index 13

Margaret Town

17 papers receiving 934 citations

Peers

Margaret Town
Comparison fields: 5 of 75
  • Biochemistry 485
  • Pathology and Forensic Medicine 605
  • Pediatrics, Perinatology and Child Health 568
  • Clinical Biochemistry 46
  • Cell Biology 77
Replace Diana Ensenat with:
Diana Ensenat United States
Eli J. Holtzman Israel
Shozo Torikai Japan
Zunzhe Wang China
Adrie C. Havelaar Netherlands
Judith Forgo Switzerland
Sylvia V. Reyna United States
M. Watanabe Japan
K. Narisawa Japan
Francis Lam United Kingdom
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Citations per field
00.5×10.7×
Diana Ensenat · 1×
Citations per year

Countries citing papers authored by Margaret Town

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Town

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 200662
2 200611
3 200529
4 200222
5
Exclusion of four candidate kidney disease loci by linkage analysis in familial juvenile hyperuricaemic nephropathy [FJHN]
19992
6 199973
7 199928
8 1998447
9 199875
10 199819
11 199619
12
High-resolution mapping of the gene for cystinosis, using combined biochemical and linkage analysis.
199616
13 199571
14 199252
15 198819
16 19854
17 19831

About Margaret Town

Margaret Town is a scholar working on Biochemistry, Pediatrics, Perinatology and Child Health and Pathology and Forensic Medicine, having authored 17 papers that have together received 950 indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (11 papers), Amino Acid Enzymes and Metabolism (9 papers), Biomedical Research and Pathophysiology (9 papers), Muscle and Compartmental Disorders (1 paper), Postharvest Quality and Shelf Life Management (1 paper), Genetic Associations and Epidemiology (1 paper), Indoor Air Quality and Microbial Exposure (1 paper) and Plant Surface Properties and Treatments (1 paper). The work is most often cited by research in Biochemistry (485 citations), Pathology and Forensic Medicine (605 citations) and Pediatrics, Perinatology and Child Health (568 citations). Margaret Town has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include William van’t Hoff, Marlene Attard, Corinne Antignac, M. Broyer, G Jean, Stéphanie Cherqui, Olivier Gribouval, David F. Callen, Gillian P. Bates and Lionel Forestier. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and American Journal of Respiratory and Critical Care Medicine.

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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