Thomas D. Downes

684 citations
2 papers · 40 · h-index 1

Impact in

    • Synthesis and Catalytic Reactions
    • Click Chemistry and Applications
    • Catalytic C–H Functionalization Methods
    • Cyclopropane Reaction Mechanisms
    • Asymmetric Synthesis and Catalysis
    • Computational Drug Discovery Methods

Papers in

Thomas D. Downes

1 paper receiving 38 citations

Peers

Thomas D. Downes
Comparison fields: 5 of 22
  • Organic Chemistry 24
  • Computational Theory and Mathematics 13
  • Pharmaceutical Science 2
  • Molecular Biology 20
  • Inorganic Chemistry 4
Replace Lauren Webster with:
Lauren Webster United Kingdom
Rajesh Karki Switzerland
Crystal McKinnon
H. Rachel Lagiakos Australia
Wolfgang Hela Austria
Karensa Douglas
Roland Kousek Austria
Bryan Raubenolt United States
Neha Kansal India
Anthony Turpoff United States
Thomas D. Downes relative to Lauren Webster United Kingdom Lauren Webster's profile →
Citations per field
00.5×
Lauren Webster · 1×
Citations per year

Countries citing papers authored by Thomas D. Downes

Since Specialization
Citations

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

Fields of papers citing papers by Thomas D. Downes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas D. Downes. 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 D. Downes. The network helps show where Thomas D. Downes may publish in the future.

Co-authors

The 14 scholars most cited alongside Thomas D. Downes, 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 D. Downes Line = papers co-authored together Thomas D. Downes links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown

About Thomas D. Downes

Thomas D. Downes is a scholar working on Molecular Biology, Automotive Engineering, Mechanical Engineering, Biomedical Engineering and Materials Chemistry, having authored 2 papers that have together received 40 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (1 paper), Modular Robots and Swarm Intelligence (1 paper), Chemical Synthesis and Analysis (1 paper), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper), Additive Manufacturing and 3D Printing Technologies (1 paper) and Manufacturing Process and Optimization (1 paper). The work is most often cited by research in Organic Chemistry (24 citations), Computational Theory and Mathematics (13 citations), Pharmaceutical Science (2 citations), Molecular Biology (20 citations) and Inorganic Chemistry (4 citations). Thomas D. Downes has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Alison J.‐A. Woolford, David C. Blakemore, Peter O’Brien, Roderick E. Hubbard, Lewis R. Vidler, Stephen D. Roughley, James D. Firth, Simon Jones, Masakazu Atobe and Hanna F. Klein. Their work appears in journals such as Chemical Science and Chemistry - A European Journal.

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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