Stephen Goldrick

679 citations
28 papers · 463 · h-index 13

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 18
    • Protein purification and stability 9
    • Microfluidic and Bio-sensing Technologies 3
    • Fluid Dynamics and Mixing 3
    • 3D Printing in Biomedical Research 3

Stephen Goldrick

27 papers receiving 454 citations

Peers

Stephen Goldrick
Comparison fields: 5 of 86
  • Control and Systems Engineering 143
  • Analytical Chemistry 55
  • Molecular Biology 250
  • Biophysics 19
  • Biomedical Engineering 111
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Martin F. Luna Argentina
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Goldrick

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Goldrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201486
2 201943
3 201742
4 202037
5 202129
6 202227
7 202126
8 201725
9 201923
10 201719
11 202417
12 201615
13 201915
14 201810
15 202010
16 20247
17 20235
18 20245
19 20254
20 20233

About Stephen Goldrick

Stephen Goldrick is a scholar working on Molecular Biology, Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering and Oncology, having authored 28 papers that have together received 463 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (18 papers), Protein purification and stability (9 papers), Fault Detection and Control Systems (5 papers), Mineral Processing and Grinding (4 papers), Microfluidic and Bio-sensing Technologies (3 papers), Fluid Dynamics and Mixing (3 papers), 3D Printing in Biomedical Research (3 papers) and Advanced Control Systems Optimization (3 papers). The work is most often cited by research in Control and Systems Engineering (143 citations), Analytical Chemistry (55 citations), Molecular Biology (250 citations), Biophysics (19 citations) and Biomedical Engineering (111 citations). Stephen Goldrick has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Suzanne S. Farid, Barry Lennox, David Lovett, G.A. Montague, Richard Turner, Christopher Spencer, Richard Turner, Marcel Kuiper, William R. Holmes and Kenneth Lee. Their work appears in journals such as Biotechnology Journal, Biotechnology and Bioengineering, Biotechnology Progress, Journal of Chromatography A 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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