Marie Shaw

8.4k citations
44 papers · 1.9k indexed · h-index 23

Impact in

  • Genetics top 5%
    • Genetics and Neurodevelopmental Disorders
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities

Papers in

    • Genetics and Neurodevelopmental Disorders 17
    • Genomics and Rare Diseases 6
    • Genomic variations and chromosomal abnormalities 4

Marie Shaw

44 papers receiving 1.9k citations

Peers

Marie Shaw
Comparison fields: 5 of 109
  • Genetics 580
  • Parasitology 122
  • Immunology 310
  • Molecular Biology 916
  • Epidemiology 382
Replace Daniel Nilsson with:
Daniel Nilsson Sweden
Florence Bernex France
David G. Brownstein United Kingdom
Christian Clément United States
Ross Boadle Australia
Maki Wakamiya United States
Heuiran Lee South Korea
Juliana Alves‐Silva Brazil
Peter C. Charles United States
Jean‐Claude Lissitzky France
Marie Shaw relative to Daniel Nilsson Sweden Daniel Nilsson's profile →
Citations per field
00.5×1.7×
Daniel Nilsson · 1×
Citations per year

Countries citing papers authored by Marie Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Marie Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20204
2 201849
3 20176
4 201716
5 20168
6 2015112
7 201513
8 201367
9 201310
10 201111
11 200981
12 200611
13 200326
14 2002317
15 200217
16 200140
17
Analysis of the candidate gene NRAMP1 in the first 61 ARC National Repository families for rheumatoid arthritis.
199713
18 1995390
19 19915
20 198613

About Marie Shaw

Marie Shaw is a scholar working on Genetics, Parasitology, Hematology, Molecular Biology and Infectious Diseases, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (17 papers), Genomics and Rare Diseases (6 papers), Research on Leishmaniasis Studies (5 papers), Blood groups and transfusion (5 papers), Trypanosoma species research and implications (4 papers), Tuberculosis Research and Epidemiology (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Genetics (580 citations), Parasitology (122 citations), Immunology (310 citations), Molecular Biology (916 citations) and Epidemiology (382 citations). Marie Shaw has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Jozef Gécz, Jenefer M. Blackwell, M Castés, M. Cabrera, J Convit, Hawys Williams, Ingrid E. Scheffer, Vera M. Kalscheuer, Lynne Hobson and J. P. Fryns. Their work appears in journals such as European Journal of Human Genetics, Human Molecular Genetics, Annals of Human Genetics, European Journal of Medical Genetics and Human Mutation.

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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