Scott Gurd

1.8k citations
12 papers · 1.4k · h-index 11

Impact in

Papers in

    • Genomics and Chromatin Dynamics 5
    • Epigenetics and DNA Methylation 4
    • RNA Research and Splicing 3
    • RNA and protein synthesis mechanisms 2
    • RNA modifications and cancer 2
    • Genetic Associations and Epidemiology 4

Scott Gurd

12 papers receiving 1.4k citations

Peers

Scott Gurd
Comparison fields: 5 of 89
  • Genetics 439
  • Clinical Biochemistry 98
  • Molecular Biology 918
  • Rheumatology 154
  • Cancer Research 146
Replace Yu Sun with:
Yu Sun China
Avinash Abhyankar United States
M C Postel-Vinay France
Kristina Forsman‐Semb Sweden
Thierry Vilboux United States
Louisa M. Villeneuve United States
Ana Fernández‐Marmiesse Spain
Elżbieta Ciara Poland
Tillman Vollbrandt Germany
Omar Albagha United Kingdom
Scott Gurd relative to Yu Sun China Yu Sun's profile →
Citations per field
00.5×1.5×2.2×
Yu Sun · 1×
Citations per year

Countries citing papers authored by Scott Gurd

Since Specialization
Citations

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

Fields of papers citing papers by Scott Gurd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2004262
2 2008231
3 2004209
4 2008179
5 2009145
6 2005103
7 200791
8 200577
9 200861
10 200730
11 200826
12 20055

About Scott Gurd

Scott Gurd is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Genetic Associations and Epidemiology (4 papers), Epigenetics and DNA Methylation (4 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (2 papers), Metabolism and Genetic Disorders (1 paper) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Genetics (439 citations), Clinical Biochemistry (98 citations), Molecular Biology (918 citations), Rheumatology (154 citations) and Cancer Research (146 citations). Scott Gurd has collaborated with scholars based in Canada, Sweden and United States. Frequent co-authors include Thomas J. Hudson, Robert Sladek, Bing Ge, Eef Harmsen, Tomi Pastinen, Marie‐Claude Vohl, Tony Kwan, Denis Richard, Julie Robitaille and Picard Marceau. Their work appears in journals such as Genome Research, PLoS Genetics, Physiological Genomics, Human Mutation and Nature Genetics.

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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