Michael Lainchbury
Impact in
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- Radical Photochemical Reactions
- Oxidative Organic Chemistry Reactions
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- Cancer-related Molecular Pathways
- PARP inhibition in cancer therapy
Papers in
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- Protein Structure and Dynamics 1
- DNA Repair Mechanisms 1
- Cancer therapeutics and mechanisms 1
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- Computational Drug Discovery Methods 2
- Co-authors
- Ian Collins (3 shared papers)Kevin I. Booker‐Milburn (1 shared paper)Paul R. Hirst (1 shared paper)Wolfgang Döhle (1 shared paper)G. Wynne Aherne (2 shared papers)Kathy Boxall (2 shared papers)Thomas P. Matthews (2 shared papers)Melanie Valenti (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (1 paper)The Journal of Organic Chemistry (1 paper)Clinical Cancer Research (1 paper)Expert Opinion on Therapeutic Patents (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Michael Lainchbury
5 papers receiving 186 citations
Peers
Comparison fields: 5 of 39
- Organic Chemistry 67
- Oncology 53
- Molecular Biology 88
- Cell Biology 18
- Pharmacology 9
Countries citing papers authored by Michael Lainchbury
This map shows the geographic impact of Michael Lainchbury'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 Lainchbury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lainchbury more than expected).
Fields of papers citing papers by Michael Lainchbury
This network shows the impact of papers produced by Michael Lainchbury. 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 Lainchbury. The network helps show where Michael Lainchbury may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Lainchbury, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 70 | |
| 2 | 2012 | 70 | |
| 3 | 2012 | 22 | |
| 4 | 2011 | 17 | |
| 5 | 2022 | 10 | |
| 6 | 2025 | 0 |
About Michael Lainchbury
Michael Lainchbury is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and Neurology, having authored 6 papers that have together received 189 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Protein Structure and Dynamics (1 paper), DNA Repair Mechanisms (1 paper), Neuroblastoma Research and Treatments (1 paper), Chemical synthesis and alkaloids (1 paper), Enzyme Structure and Function (1 paper), Alkaloids: synthesis and pharmacology (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Organic Chemistry (67 citations), Oncology (53 citations), Molecular Biology (88 citations), Cell Biology (18 citations) and Pharmacology (9 citations). Michael Lainchbury has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Ian Collins, Kevin I. Booker‐Milburn, Paul R. Hirst, Wolfgang Döhle, G. Wynne Aherne, Kathy Boxall, Thomas P. Matthews, Melanie Valenti, Florence I. Raynaud and Suzanne A. Eccles. Their work appears in journals such as Journal of Medicinal Chemistry, The Journal of Organic Chemistry, Clinical Cancer Research, Expert Opinion on Therapeutic Patents and ACS Medicinal Chemistry Letters.
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.