Forrest Smith

45 papers receiving 696 citations

Peers

Forrest Smith
Comparison fields: 5 of 97
  • Toxicology 186
  • Pharmacology 136
  • Pharmaceutical Science 43
  • Organic Chemistry 149
  • Biotechnology 42
Replace Simona Musella with:
Simona Musella Italy
Yukio Kuroiwa Japan
Robert D. Sindelar United States
Renáta Minorics Hungary
Hai‐Liang Zhu China
Taha F. S. Ali Egypt
Richard Czerniak United States
Anne Sophie Voisin‐Chiret France
Hiroki Sato Japan
Forrest Smith relative to Simona Musella Italy Simona Musella's profile →
Citations per field
00.5×2×3×3.6×
Simona Musella · 1×
Citations per year

Countries citing papers authored by Forrest Smith

Since Specialization
Citations

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

Fields of papers citing papers by Forrest Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987107
2 202191
3 201643
4 201535
5 202026
6 202125
7 201423
8 201522
9 199120
10 201819
11 201418
12 201517
13 201417
14 198717
15 202116
16 201716
17 201514
18 202113
19 200913
20 201612

About Forrest Smith

Forrest Smith is a scholar working on Pharmacology, Molecular Biology, Toxicology, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 709 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (12 papers), Cannabis and Cannabinoid Research (10 papers), Neuroscience and Neuropharmacology Research (6 papers), Psychedelics and Drug Studies (6 papers), Synthesis and Biological Activity (4 papers), Analytical Chemistry and Chromatography (4 papers), Advanced Drug Delivery Systems (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). The work is most often cited by research in Toxicology (186 citations), Pharmacology (136 citations), Pharmaceutical Science (43 citations), Organic Chemistry (149 citations) and Biotechnology (42 citations). Forrest Smith has collaborated with scholars based in United States, Egypt and Libya. Frequent co-authors include Kuo Hsiung Lee, Toshimitsu Hayashi, Jack DeRuiter, Charles R. Clark, Muralikrishnan Dhanasekaran, Peter Panizzi, Jiansheng Huang, Sindhu Ramesh, Manoj Govindarajulu and Timothy Moore. Their work appears in journals such as Forensic Chemistry, Journal of Chromatographic Science, Journal of Medicinal Chemistry, Journal of Pharmaceutical Sciences and Archives of Biochemistry and Biophysics.

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.

Explore authors with similar magnitude of impact