Jane Shingles

1.1k citations
12 papers · 884 · h-index 8

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Lymphocytic Leukemia Research 7
    • Genetics, Aging, and Longevity in Model Organisms 3

Jane Shingles

11 papers receiving 867 citations

Peers

Jane Shingles
Comparison fields: 5 of 91
  • Aging 257
  • Genetics 226
  • Pathology and Forensic Medicine 161
  • Endocrine and Autonomic Systems 44
  • Hematology 62
Replace Weihang Chai with:
Weihang Chai United States
Kseniya Petrova United States
Luis Miguel Criado Spain
Federico Pelisch Argentina
Lesley J. Page United States
Michela Clerici Italy
Katarzyna Jastrzebski Australia
Anita Göndör Sweden
Nisha Narayan Australia
Elizabeth L. Thompson United States
Jane Shingles relative to Weihang Chai United States Weihang Chai's profile →
Citations per field
00.5×2×4×6×7.1×
Weihang Chai · 1×
Citations per year

Countries citing papers authored by Jane Shingles

Since Specialization
Citations

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

Fields of papers citing papers by Jane Shingles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2007248
2 2012166
3 2005144
4 2006105
5 2007104
6 202376
7 201029
8 20229
9 20141
10 20131
11 20151
12 20050

About Jane Shingles

Jane Shingles is a scholar working on Genetics, Aging, Immunology, Hematology and Nephrology, having authored 12 papers that have together received 884 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Quantum Dots Synthesis And Properties (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Complement system in diseases (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Gene Regulatory Network Analysis (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Aging (257 citations), Genetics (226 citations), Pathology and Forensic Medicine (161 citations), Endocrine and Autonomic Systems (44 citations) and Hematology (62 citations). Jane Shingles has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Christian A Grove, John S. Reece-Hoyes, Ian A. Hope, Albertha J.M. Walhout, Howard J. Atkinson, Peter E. Urwin, Catherine J. Lilley, Bart Deplancke, Andy C. Rawstron and Denis Dupuy. Their work appears in journals such as Blood, Annals of Emergency Medicine, Leukemia, BMC Genomics and Nature Biotechnology.

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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