Ian G. Tucker

5.9k citations
183 papers · 4.8k indexed · h-index 37

Ian G. Tucker

183 papers receiving 4.6k citations

Peers

Ian G. Tucker
Comparison fields: 5 of 166
  • Pharmaceutical Science 2.0k
  • Analytical Chemistry 348
  • Biomaterials 461
  • Molecular Medicine 174
  • Spectroscopy 468
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Jörg Breitkreutz Germany
Gary P. Martin United Kingdom
Alka Ahuja India
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Giovanni Filippo Palmieri Italy
Chong‐Kook Kim South Korea
Yie W. Chien United States
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Countries citing papers authored by Ian G. Tucker

Since Specialization
Citations

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

Fields of papers citing papers by Ian G. Tucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20235
3 20222
4
RESEARCH ARTICLE: Relationships between academic performance of pharmacy students and their postgraduate competence during internship
20201
5 20162
6 20094
7 200863
8 200846
9 200210
10 20026
11 2000106
12 199832
13
The stability of acetylcysteine eyedrops
19932
14
Gastric residence times of enteric coated dosage forms a review
19903
15
The binding of propranolol hydrochloride to sodium carboxymethylcellulose
19883
16
The stability of extemporaneous paediatric formulations of propranolol hydrochloride
19882
17
Prediction of drug stability - Part 2: Hydrolysis
19854
18
Prediction of drug stability. Part 3: Oxidation and photolytic degradation
19853
19
Prediction of drug stability - Part 4: Isomerisation
19851
20
Prediction of drug stability - Part 5: Physical stability
19851

About Ian G. Tucker

Ian G. Tucker is a scholar working on Pharmaceutical Science, Analytical Chemistry and Spectroscopy, having authored 183 papers that have together received 4.8k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (45 papers), Advanced Drug Delivery Systems (26 papers), Analytical Chemistry and Chromatography (25 papers), Analytical Methods in Pharmaceuticals (19 papers), Inhalation and Respiratory Drug Delivery (15 papers), Drug Transport and Resistance Mechanisms (13 papers), RNA Interference and Gene Delivery (11 papers) and Antibiotics Pharmacokinetics and Efficacy (11 papers). The work is most often cited by research in Pharmaceutical Science (2.0k citations), Analytical Chemistry (348 citations) and Biomaterials (461 citations). Ian G. Tucker has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Thomas Rades, Nigel Davies, Natalie J. Medlicott, Michael J. Rathbone, John Hempenstall, Angus H. Forster, David C. Bibby, Momir Mikov, Shyamal C. Das and Snežana Agatonović-Kuštrin.

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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