Wayne Huggins

1.7k citations
20 papers · 435 · h-index 8

Impact in

Papers in

Wayne Huggins

17 papers receiving 430 citations

Peers

Wayne Huggins
Comparison fields: 5 of 62
  • Molecular Biology 292
  • Medical Terminology 1
  • Genetics 20
  • Experimental and Cognitive Psychology 25
  • Genetics 43
Replace Hiroko Fujimoto with:
Hiroko Fujimoto Japan
Laura M. Chang United States
Mária Székely United Kingdom
Ryan Sai Ting Chu Hong Kong
Margaret Rush United States
Yatang Chen China
Emily T. Norris United States
Artika P. Nath Australia
Charlotte J. Richards United States
Andres Metspalu Estonia
Wayne Huggins relative to Hiroko Fujimoto Japan Hiroko Fujimoto's profile →
Citations per field
00.5×2×4×6.7×
Hiroko Fujimoto · 1×
Citations per year

Countries citing papers authored by Wayne Huggins

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Huggins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2013257
2 201426
3 201226
4 201626
5 201422
6 201721
7 201217
8 200510
9 20197
10 20195
11 20034
12 20044
13 20074
14 20092
15 20122
16 20221
17 20251
18 20200
19 20240
20 20250

About Wayne Huggins

Wayne Huggins is a scholar working on Experimental and Cognitive Psychology, Molecular Biology, Genetics, Philosophy and Psychiatry and Mental health, having authored 20 papers that have together received 435 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (6 papers), DNA and Nucleic Acid Chemistry (3 papers), Schizophrenia research and treatment (2 papers), Mental Health Research Topics (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Genetic Associations and Epidemiology (2 papers) and Mental Health and Psychiatry (2 papers). The work is most often cited by research in Molecular Biology (292 citations), Medical Terminology (1 citation), Genetics (20 citations), Experimental and Cognitive Psychology (25 citations) and Genetics (43 citations). Wayne Huggins has collaborated with scholars based in United States. Frequent co-authors include Stanislav Bellaousov, Kevin M. Weeks, Christopher W. Leonard, Christine E. Hajdin, David H. Mathews, Carol M. Hamilton, Heather Junkins, Erin M. Ramos, Paul L. Wollenzien and Robert M. Bilder. Their work appears in journals such as Drug and Alcohol Dependence, RNA, Frontiers in Bioengineering and Biotechnology, Frontiers in Pharmacology and BMC Medical Genomics.

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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