G.F. Ruda

2.5k citations
20 papers · 755 · h-index 16

Impact in

Papers in

    • Biochemical and Molecular Research 7
    • Receptor Mechanisms and Signaling 3
    • Pharmacological Receptor Mechanisms and Effects 2
    • HIV/AIDS drug development and treatment 6

G.F. Ruda

20 papers receiving 748 citations

Peers

G.F. Ruda
Comparison fields: 5 of 88
  • Molecular Biology 515
  • Cellular and Molecular Neuroscience 111
  • Sensory Systems 27
  • Toxicology 17
  • Pharmacology 73
Replace Thomas Ryckmans with:
Thomas Ryckmans United Kingdom
Clifford Bryant United States
Yui S. Tang United States
Robert G. Gentles United States
Mattia Sturlese Italy
Rémy D. Hoffmann Austria
Corinne Kay United Kingdom
Raphaël Rahmani Australia
Daniel Spinks United Kingdom
Zhiguang Jia United States
G.F. Ruda relative to Thomas Ryckmans United Kingdom Thomas Ryckmans's profile →
Citations per field
00.5×1.7×
Thomas Ryckmans · 1×
Citations per year

Countries citing papers authored by G.F. Ruda

Since Specialization
Citations

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

Fields of papers citing papers by G.F. Ruda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015247
2 200656
3 202156
4 201050
5 201645
6 201538
7 201730
8 200625
9 200724
10 201024
11 201323
12 201023
13 201423
14 201422
15 201118
16 200316
17 201914
18 20118
19 20238
20 20165

About G.F. Ruda

G.F. Ruda is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Pharmacology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 755 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (7 papers), HIV/AIDS drug development and treatment (6 papers), Carbohydrate Chemistry and Synthesis (4 papers), Cannabis and Cannabinoid Research (3 papers), Receptor Mechanisms and Signaling (3 papers), Trypanosoma species research and implications (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Molecular Biology (515 citations), Cellular and Molecular Neuroscience (111 citations), Sensory Systems (27 citations), Toxicology (17 citations) and Pharmacology (73 citations). G.F. Ruda has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Ian H. Gilbert, Paul E. Brennan, Michael P. Barrett, Elisabeth P. Carpenter, Shubhashish Mukhopadhyay, Andrew Quigley, N. Burgess-Brown, A.C.W. Pike, S. Goubin and Alexandra Mackenzie. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, ChemMedChem, Chemical Communications and ACS Chemical Biology.

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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