R. J. Springall

819 citations
6 papers · 636 · h-index 4

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • PARP inhibition in cancer therapy
    • Cancer-related Molecular Pathways

Papers in

    • Gene expression and cancer classification 2
    • Kruppel-like factors research 1
    • Genomics and Chromatin Dynamics 1
    • HER2/EGFR in Cancer Research 2

R. J. Springall

6 papers receiving 616 citations

Peers

R. J. Springall
Comparison fields: 5 of 40
  • Cancer Research 199
  • Oncology 297
  • Molecular Biology 329
  • Genetics 127
  • Dermatology 29
Replace C E Gillett with:
C E Gillett United Kingdom
Alicia Cazorla Spain
Ingrid Lebigot France
Walker Ra United Kingdom
Reyno Del Rosario United States
Beth Blondin United States
Stéphane Debono France
Sandra Stein Australia
Tarek M. Abdel-Fatah United Kingdom
Renata Kusińska Poland
R. J. Springall relative to C E Gillett United Kingdom C E Gillett's profile →
Citations per field
00.5×1.5×
C E Gillett · 1×
Citations per year

Countries citing papers authored by R. J. Springall

Since Specialization
Citations

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

Fields of papers citing papers by R. J. Springall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. J. Springall. 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 R. J. Springall. The network helps show where R. J. Springall may publish in the future.

Co-authors

The 16 scholars most cited alongside R. J. Springall, 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 R. J. Springall Line = papers co-authored together R. J. Springall links everyone, so they are left out of the graph.

All Works

About R. J. Springall

R. J. Springall is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Rheumatology, having authored 6 papers that have together received 636 indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Breast Cancer Treatment Studies (2 papers), HER2/EGFR in Cancer Research (2 papers), Genetic and rare skin diseases. (1 paper), BRCA gene mutations in cancer (1 paper), Statistical Methods in Clinical Trials (1 paper), Kruppel-like factors research (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Cancer Research (199 citations), Oncology (297 citations), Molecular Biology (329 citations), Genetics (127 citations) and Dermatology (29 citations). R. J. Springall has collaborated with scholars based in United Kingdom and Portugal. Frequent co-authors include K W Ryder, C E Gillett, J. S. Reis-Filho, Fernando Schmitt, Nicholas C. Turner, Alan Ashworth, Andrew Tutt, D Steele, Kay Savage and Anne‐Marie Russell. Their work appears in journals such as The Journal of Pathology, Pediatric Surgery International, Oncogene and Humana Press eBooks.

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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