Scott J. Steele

654 citations
11 papers · 497 · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Genetic Syndromes and Imprinting

Papers in

Scott J. Steele

11 papers receiving 487 citations

Peers

Scott J. Steele
Comparison fields: 5 of 73
  • Cancer Research 159
  • Genetics 209
  • Molecular Biology 367
  • Health Informatics 7
  • Pediatrics, Perinatology and Child Health 82
Replace Alejandro Méndez‐Mancilla with:
Alejandro Méndez‐Mancilla United States
Fei Sang United Kingdom
Karin Schwarzbauer Austria
Rebecca A. Cederberg United States
Liangwen Zhong China
Richard Patryk Ngondo France
Sameer Paithankar United States
Marios Ioannides Cyprus
Jasin Taelman Belgium
Liping Wen China
Scott J. Steele relative to Alejandro Méndez‐Mancilla United States Alejandro Méndez‐Mancilla's profile →
Citations per field
00.5×8.2×
Alejandro Méndez‐Mancilla · 1×
Citations per year

Countries citing papers authored by Scott J. Steele

Since Specialization
Citations

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

Fields of papers citing papers by Scott J. Steele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2006348
2 200764
3 201814
4 202214
5 201513
6 201013
7 202013
8 20187
9 20147
10 20112
11
Scientific Engagement at FDA: A Report to the FDA Science Board from the Scientific Engagement Subcommittee
20162

About Scott J. Steele

Scott J. Steele is a scholar working on Public Health, Environmental and Occupational Health, Biomedical Engineering, Physiology, Molecular Biology and Genetics, having authored 11 papers that have together received 497 indexed citations. Recurring topics across this work include Biomedical and Engineering Education (4 papers), Biotechnology and Related Fields (4 papers), Biomedical Ethics and Regulation (3 papers), Genomics and Rare Diseases (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper), Science, Research, and Medicine (1 paper) and Genetically Modified Organisms Research (1 paper). The work is most often cited by research in Cancer Research (159 citations), Genetics (209 citations), Molecular Biology (367 citations), Health Informatics (7 citations) and Pediatrics, Perinatology and Child Health (82 citations). Scott J. Steele has collaborated with scholars based in United States, Denmark and Singapore. Frequent co-authors include Shirley M. Tilghman, Robert S. Ingram, Debora Mancini‐DiNardo, John M. Levorse, Joan E. Adamo, John Mulligan, Bruce Budowle, Drew Endy, Ralf Wagner and David A. Roth. Their work appears in journals such as Clinical and Translational Science, Science Translational Medicine, Nature Biotechnology, Genes & Development and Journal of Clinical and Translational Science.

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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