Suzanne Fergus

1.6k citations
26 papers · 879 · h-index 12

Impact in

Papers in

Suzanne Fergus

25 papers receiving 849 citations

Peers

Suzanne Fergus
Comparison fields: 5 of 119
  • Health Informatics 109
  • Toxicology 268
  • Computer Science Applications 58
  • Cellular and Molecular Neuroscience 155
  • Clinical Psychology 174
Replace Patrick Hays with:
Patrick Hays United States
Michael P. Cassidy United States
Shane M. Wilkinson Australia
Kyle R. Dyer United Kingdom
Thomas A. Munro United States
Jakub Wojcieszak Poland
Karen Ward United States
Andrew J. Hoffman United States
Renata Kolanoś United States
Agnieszka Sulima United States
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Citations per field
00.5×10×15×21.8×
Patrick Hays · 1×
Citations per year

Countries citing papers authored by Suzanne Fergus

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Fergus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010246
2 2023187
3 200681
4 202180
5 200544
6 201238
7 201432
8 200227
9 202226
10 200424
11 201424
12 202019
13 201610
14 20079
15 20227
16
Emergence and identification of new products of designer drug products from the internet
20116
17 20224
18 20214
19 20143
20 20182

About Suzanne Fergus

Suzanne Fergus is a scholar working on Pharmacology, Education, Cognitive Neuroscience, Public Health, Environmental and Occupational Health and Organic Chemistry, having authored 26 papers that have together received 879 indexed citations. Recurring topics across this work include Neuroethics, Human Enhancement, Biomedical Innovations (4 papers), Forensic Toxicology and Drug Analysis (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Innovative Teaching Methods (3 papers), Chemical Synthesis and Analysis (3 papers), Innovations in Medical Education (3 papers), Innovative Teaching and Learning Methods (3 papers) and N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (2 papers). The work is most often cited by research in Health Informatics (109 citations), Toxicology (268 citations), Computer Science Applications (58 citations), Cellular and Molecular Neuroscience (155 citations) and Clinical Psychology (174 citations). Suzanne Fergus has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Mehrnoosh Ostovar, Fabrizio Schifano, Amira Guirguis, Jacqueline L. Stair, John Corkery, Andreas Bender, David R. Spring, Ornella Corazza, Anthony F. Hegarty and Zsolt Demetrovics. Their work appears in journals such as Chemical Communications, Human Psychopharmacology Clinical and Experimental, Analytical Methods, Psychopharmacology and Drugs.

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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