Michael Reilly

3.2k citations
25 papers · 763 · h-index 16

Impact in

Papers in

    • Asymmetric Synthesis and Catalysis 6
    • Synthesis and Catalytic Reactions 4
    • Chemical Synthesis and Analysis 3
    • Cell death mechanisms and regulation 3

Michael Reilly

23 papers receiving 732 citations

Peers

Michael Reilly
Comparison fields: 5 of 75
  • Organic Chemistry 243
  • Physiology 201
  • Pharmacology 103
  • Computational Theory and Mathematics 89
  • Immunology 110
Replace Martin Pettersson with:
Martin Pettersson United States
Jenny Viklund Sweden
Takashi Hayama Japan
Meredith Williams Singapore
Alexander Flohr Switzerland
Thomas Bara United States
Neng‐Yang Shih United States
Clive McCarthy United Kingdom
Lihu Yang United States
Neil J. Press United Kingdom
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Citations per field
00.5×3.9×
Martin Pettersson · 1×
Citations per year

Countries citing papers authored by Michael Reilly

Since Specialization
Citations

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

Fields of papers citing papers by Michael Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015115
2 2017106
3 200576
4 200664
5 200561
6 200650
7 199332
8 199532
9 199526
10 200325
11 201124
12 199423
13 200622
14 199920
15 200319
16 200917
17 200015
18 199812
19 202111
20 19988

About Michael Reilly

Michael Reilly is a scholar working on Organic Chemistry, Molecular Biology, Physiology, Pharmacology and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 763 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Asymmetric Synthesis and Catalysis (6 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Synthesis and Catalytic Reactions (4 papers), Computational Drug Discovery Methods (3 papers), Chemical Synthesis and Analysis (3 papers), Cell death mechanisms and regulation (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Organic Chemistry (243 citations), Physiology (201 citations), Pharmacology (103 citations), Computational Theory and Mathematics (89 citations) and Immunology (110 citations). Michael Reilly has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Taeboem Oh, Mark S. Shearman, Jonathan D. Best, Huw D. Lewis, Timothy Harrison, John Atack, John Bertin, Ian Churcher, Philip A. Harris and Alan Nadin. Their work appears in journals such as Tetrahedron Letters, Journal of Pharmacology and Experimental Therapeutics, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry and Cell Death Discovery.

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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