Thomas O’Connor

2.2k citations
66 papers · 1.6k indexed · 1 hit paper · h-index 22

Thomas O’Connor

60 papers receiving 1.6k citations

Hit Papers

Modernizing Pharmaceutical Manufacturing: from Batch to C...6422015202620182022200400600

Peers

Thomas O’Connor
Comparison fields: 5 of 131
  • Pharmaceutical Science 315
  • Analytical Chemistry 148
  • Biomedical Engineering 530
  • Computational Mechanics 227
  • Statistics, Probability and Uncertainty 78
Replace Sau L. Lee with:
Sau L. Lee United States
Celia N. Cruz United States
Ravendra Singh United States
Markus Krumme Switzerland
Rapti D. Madurawe United States
Ashish Kumar Belgium
Stephan Sacher Austria
Sharmista Chatterjee United States
Salvatore Mascia United States
Jarkko Ketolainen Finland
Thomas O’Connor relative to Sau L. Lee United States Sau L. Lee's profile →
Citations per field
00.5×1.6×
Sau L. Lee · 1×
Citations per year

Countries citing papers authored by Thomas O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Thomas O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas O’Connor. 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 Thomas O’Connor. The network helps show where Thomas O’Connor may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20236
4 20235
5 202315
6 202031
7 202028
8 202047
9 202021
10 202028
11 201935
12 201930
13 201939
14 201817
15 20189
16 201819
17 20189
18 201751
19 201733
20
Intermediate-Strength Purified Protein Derivative
20150

About Thomas O’Connor

Thomas O’Connor is a scholar working on Pharmaceutical Science, Statistics, Probability and Uncertainty and Health Informatics, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (11 papers), Crystallization and Solubility Studies (10 papers), Granular flow and fluidized beds (10 papers), Drug Solubulity and Delivery Systems (8 papers), Protein purification and stability (8 papers), Mineral Processing and Grinding (7 papers), Advanced Statistical Process Monitoring (6 papers) and Analytical Chemistry and Chromatography (5 papers). The work is most often cited by research in Pharmaceutical Science (315 citations), Analytical Chemistry (148 citations) and Biomedical Engineering (530 citations). Thomas O’Connor has collaborated with scholars based in United States, Thailand and Austria. Frequent co-authors include Xiaochuan Yang, Sau L. Lee, Celia N. Cruz, Lawrence X. Yu, Rapti D. Madurawe, Sharmista Chatterjee, Janet Woodcock, Christine Moore, Sau Lee and David Acevedo. Their work appears in journals such as International Journal of Pharmaceutics, Organic Process Research & Development, Powder Technology, AAPS PharmSciTech and Computers & Chemical Engineering.

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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