G. Smith

3.0k citations
109 papers · 2.3k · h-index 28

Impact in

    • Alkaloids: synthesis and pharmacology
    • Chemical synthesis and alkaloids
    • Asymmetric Synthesis and Catalysis

Papers in

G. Smith

107 papers receiving 2.1k citations

Peers

G. Smith
Comparison fields: 5 of 140
  • Pharmacology 305
  • Organic Chemistry 948
  • Biochemistry 134
  • Pharmaceutical Science 92
  • Molecular Biology 840
Replace Gayle K. Schulte with:
Gayle K. Schulte United States
Nicholas C. O. Tomkinson United Kingdom
Eugene A. Mash United States
Alain Croisy France
J. Fayos Spain
K. W. Jennette United States
Rafael Suau Spain
H. Bickel Switzerland
Manfred E. Wolff United States
Antonio Hernández Daranas Spain
G. Smith relative to Gayle K. Schulte United States Gayle K. Schulte's profile →
Citations per field
00.5×
Gayle K. Schulte · 1×
Citations per year

Countries citing papers authored by G. Smith

Since Specialization
Citations

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

Fields of papers citing papers by G. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202297
2 202296
3 201194
4 195489
5 201887
6 196378
7 201973
8 195671
9 202066
10 197364
11 199862
12 201758
13 202354
14 202253
15 197249
16 200548
17 197246
18 195741
19 195338
20 200937

About G. Smith

G. Smith is a scholar working on Organic Chemistry, Molecular Biology, Pharmacology, Pharmacology and Computational Theory and Mathematics, having authored 109 papers that have together received 2.3k indexed citations. Recurring topics across this work include Alkaloids: synthesis and pharmacology (17 papers), Chemical synthesis and alkaloids (12 papers), Computational Drug Discovery Methods (10 papers), Synthesis and Reactions of Organic Compounds (10 papers), Chemical Synthesis and Analysis (8 papers), Fluorine in Organic Chemistry (7 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Traditional and Medicinal Uses of Annonaceae (7 papers). The work is most often cited by research in Pharmacology (305 citations), Organic Chemistry (948 citations), Biochemistry (134 citations), Pharmaceutical Science (92 citations) and Molecular Biology (840 citations). G. Smith has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include J. A. Joule, Noreen F. Rizvi, Arnold H. Ratcliffe, G.N. Smith, David Bruce, Colin H. L. Kennard, Leo A. Paquette, Zhi‐Jie Ni, Philip N. Edwards and David J. Ponting. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Tetrahedron and Australian Journal of Chemistry.

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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