Suzanne E. Little

1.1k citations
15 papers · 847 · h-index 14

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism

Papers in

Suzanne E. Little

15 papers receiving 833 citations

Peers

Suzanne E. Little
Comparison fields: 5 of 68
  • Genetics 347
  • Cancer Research 229
  • Neurology 153
  • Molecular Biology 538
  • Oncology 138
Replace Carl Koschmann with:
Carl Koschmann United States
Frank Mendrzyk Germany
Anke Waha Germany
Ruth Tatevossian United States
Alfred Yung United States
Shoju Hiraga Japan
M. Eva Alonso Spain
Prerana Jha India
Hilary Blair United States
Agadha Wickremesekera New Zealand
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Citations per field
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Citations per year

Countries citing papers authored by Suzanne E. Little

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne E. Little

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2010136
2 2010110
3 201293
4 200993
5 200582
6 200971
7 200469
8 201138
9 200636
10 200632
11 200730
12 201323
13 200418
14 200515
15
Blastemal/stromal expression of IGF1R in Wilms tumours is driven by increased copy number and correlates with relapse
20061

About Suzanne E. Little

Suzanne E. Little is a scholar working on Molecular Biology, Genetics, Neurology, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 15 papers that have together received 847 indexed citations. Recurring topics across this work include Renal and related cancers (7 papers), Glioma Diagnosis and Treatment (6 papers), Prenatal Screening and Diagnostics (3 papers), Cancer Genomics and Diagnostics (2 papers), MicroRNA in disease regulation (2 papers), Chromatin Remodeling and Cancer (2 papers), Neuroblastoma Research and Treatments (2 papers) and Soft tissue tumor case studies (1 paper). The work is most often cited by research in Genetics (347 citations), Cancer Research (229 citations), Neurology (153 citations), Molecular Biology (538 citations) and Oncology (138 citations). Suzanne E. Little has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Chris Jones, Dorine A. Bax, Kathy Pritchard‐Jones, Marta Viana‐Pereira, Darren Hargrave, Rui Manuel Reis, Safa Al‐Sarraj, Jorge S. Reis‐Filho, Rachael Natrajan and Nathalie Gaspar. Their work appears in journals such as Clinical Cancer Research, Cancer Research, PLoS ONE, Genes Chromosomes and Cancer and Journal of Clinical Oncology.

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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