Ryan Noss

582 citations
17 papers · 434 · h-index 10

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Genetics top 10%
    • BRCA gene mutations in cancer
    • Genomics and Rare Diseases
    • Genetic and rare skin diseases.

Papers in

Ryan Noss

16 papers receiving 422 citations

Peers

Ryan Noss
Comparison fields: 5 of 56
  • Health Informatics 26
  • Genetics 193
  • Pathology and Forensic Medicine 69
  • General Health Professions 42
  • Public Health, Environmental and Occupational Health 52
Replace Shanna L. Gustafson with:
Shanna L. Gustafson United States
Victor Evangelista de Faria Ferraz Brazil
Lyn Schofield Australia
Lisa Mahanta United States
Sook-Yee Yoon Malaysia
Cecelia A. Bellcross United States
Jane M. Tiller Australia
Jeanna Marie McCuaig Canada
Elly L. Lynch Australia
C J Chapman New Zealand
Ryan Noss relative to Shanna L. Gustafson United States Shanna L. Gustafson's profile →
Citations per field
00.5×2×3×4.3×
Shanna L. Gustafson · 1×
Citations per year

Countries citing papers authored by Ryan Noss

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Noss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2011123
2 202053
3 202341
4 202441
5 201838
6 201628
7 201928
8 201820
9 201118
10 201711
11 202210
12 20209
13 20207
14 20143
15 20223
16 20231
17 20230

About Ryan Noss

Ryan Noss is a scholar working on Genetics, Pathology and Forensic Medicine, General Health Professions, Pharmacology and Ophthalmology, having authored 17 papers that have together received 434 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (9 papers), Telemedicine and Telehealth Implementation (2 papers), Nursing Roles and Practices (2 papers), Genetic factors in colorectal cancer (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Ocular Oncology and Treatments (1 paper) and Genetic and rare skin diseases. (1 paper). The work is most often cited by research in Health Informatics (26 citations), Genetics (193 citations), Pathology and Forensic Medicine (69 citations), General Health Professions (42 citations) and Public Health, Environmental and Occupational Health (52 citations). Ryan Noss has collaborated with scholars based in United States and Canada. Frequent co-authors include Robert Pilarski, Julie A. Stephens, James L. Fisher, T. Prior, Holly Jane Pederson, Charis Eng, Stephanie A. Cohen, Samantha E. Greenberg, Stephen R. Grobmyer and Anne L. Matthews. Their work appears in journals such as Annals of Surgical Oncology, Breast Cancer Research and Treatment, Journal of the American College of Surgeons, npj Genomic Medicine and 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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