Brian Walsh

797 citations
7 papers · 474 · 1 hit paper · h-index 5

Impact in

Papers in

Brian Walsh

7 papers receiving 460 citations

Brian Walsh's Hit Papers

GA4GH: International policies and standards for data sharing across genomic research and healthcare 2021 · 198 citations
1980+1+3Years since publication50100150

Peers

Brian Walsh
Comparison fields: 5 of 66
  • Cancer Research 146
  • Health Informatics 13
  • Information Systems and Management 44
  • Genetics 153
  • Public Health, Environmental and Occupational Health 67
Replace Sabela de la Torre with:
Sabela de la Torre United Kingdom
Aina Jené Spain
Alexander Senf United Kingdom
Tristan H. Nelson United States
Angela J.H. Page United States
Lindsay Smith United Kingdom
Saif Ur-Rehman United Kingdom
Lyndon J. Zass South Africa
Sarion R. Bowers United Kingdom
Juha Törnroos United States
Brian Walsh relative to Sabela de la Torre United Kingdom Sabela de la Torre's profile →
Citations per field
00.5×2×3×
Sabela de la Torre · 1×
Citations per year

Countries citing papers authored by Brian Walsh

Since Specialization
Citations

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

Fields of papers citing papers by Brian Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Brian Walsh, 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 Brian Walsh Line = papers co-authored together Brian Walsh links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
GA4GH: International policies and standards for data sharing across genomic research and healthcare
Hit paper breakdown →
2021198
2 2020115
3 202287
4 202137
5 201833
6 20202
7 20232

About Brian Walsh

Brian Walsh is a scholar working on Genetics, Cancer Research, Information Systems and Management, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 7 papers that have together received 474 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (4 papers), Cancer Genomics and Diagnostics (2 papers), Ethics in Clinical Research (2 papers), Genomics and Phylogenetic Studies (2 papers), Biomedical Text Mining and Ontologies (1 paper), Gene expression and cancer classification (1 paper), Scientific Computing and Data Management (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Cancer Research (146 citations), Health Informatics (13 citations), Information Systems and Management (44 citations), Genetics (153 citations) and Public Health, Environmental and Occupational Health (67 citations). Brian Walsh has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Kyle Ellrott, Adam J. Struck, Kasper D. Hansen, Sean K. Maden, Reid F. Thompson, Abhinav Nellore and Joshua M. Stuart. Their work appears in journals such as Cell Genomics, Nature Genetics, JCO Clinical Cancer Informatics, European Journal of Human Genetics and Bioinformatics Advances.

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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