Pearson Pl

741 citations
7 papers · 619 · h-index 4

Impact in

Papers in

Pearson Pl

7 papers receiving 596 citations

Peers

Pearson Pl
Comparison fields: 5 of 65
  • Genetics 206
  • Cancer Research 104
  • Pathology and Forensic Medicine 108
  • Molecular Biology 393
  • Genetics 48
Replace N Shimizu with:
N Shimizu Japan
D. Olde Weghuis Netherlands
Sandeep N. Shah United States
Carl Hilliker Belgium
Sean Young Canada
Ed Stavnezer United States
Victoria A. Robb United States
Akira Nakagawara Japan
Hayley Spearman United Kingdom
Kanae Mitsunaga Japan
Pearson Pl relative to N Shimizu Japan N Shimizu's profile →
Citations per field
00.5×3.1×
N Shimizu · 1×
Citations per year

Countries citing papers authored by Pearson Pl

Since Specialization
Citations

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

Fields of papers citing papers by Pearson Pl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Pearson Pl, 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 Pearson Pl Line = papers co-authored together Pearson Pl links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Minor Xp21 chromosome deletion in a male associated with expression of Duchenne muscular dystrophy, chronic granulomatous disease, retinitis pigmentosa, and McLeod syndrome.
1985367
2
Allelotype of human breast carcinoma: a second major site for loss of heterozygosity is on chromosome 6q.
1991173
3
Somatic genetic changes on chromosome 18 in breast carcinomas: is the DCC gene involved?
199172
4
[Procedure and initial results of presymptomatic DNA studies in Huntington's chorea].
19904
5
Carrier detection and prenatal diagnosis of Duchenne/Becker muscular dystrophy (D/BMD) by DNA-analysis.
19891
6
Restriction fragment length polymorphisms (RFLP's) and their use in mapping the human genome.
19851
7
The behavior of chromosomes.
19731

About Pearson Pl

Pearson Pl is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Oncology and Epidemiology, having authored 7 papers that have together received 619 indexed citations. Recurring topics across this work include interferon and immune responses (1 paper), Cancer Genomics and Diagnostics (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Cancer-related Molecular Pathways (1 paper), Nuclear Structure and Function (1 paper), Genetic Neurodegenerative Diseases (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Genetics (206 citations), Cancer Research (104 citations), Pathology and Forensic Medicine (108 citations), Molecular Biology (393 citations) and Genetics (48 citations). Pearson Pl has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Cornelisse Cj, Peter Devilee, Uta Francke, Pagon Ra, van Ommen Gj, HD Ochs, Joseph C. Giacalone, Lindgren, Christine M. Distèche and J. Hermans. Their work appears in journals such as PubMed.

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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