A. Mac Sweeney
Impact in
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- Cell death mechanisms and regulation
- Protein Structure and Dynamics
- Plant biochemistry and biosynthesis
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- Peptidase Inhibition and Analysis
Papers in ⓘ
- Co-authors
- A. D’Arcy (8 shared papers)Markus G. Grütter (1 shared paper)Mrudula Donepudi (1 shared paper)Christophe Briand (1 shared paper)Christian Oefner (4 shared papers)Glenn E. Dale (4 shared papers)A. Douangamath (3 shared papers)Henk Schulz (3 shared papers)
- Journals
- Journal of Molecular Biology (3 papers)Journal of Medicinal Chemistry (3 papers)ACS Medicinal Chemistry Letters (2 papers)Helvetica Chimica Acta (2 papers)Acta Crystallographica Section D Structural Biology (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
A. Mac Sweeney
29 papers receiving 891 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 589
- Oncology 217
- Cellular and Molecular Neuroscience 105
- Materials Chemistry 218
- Organic Chemistry 122
Countries citing papers authored by A. Mac Sweeney
This map shows the geographic impact of A. Mac Sweeney'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 A. Mac Sweeney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Mac Sweeney more than expected).
Fields of papers citing papers by A. Mac Sweeney
This network shows the impact of papers produced by A. Mac Sweeney. 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 A. Mac Sweeney. The network helps show where A. Mac Sweeney may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Mac Sweeney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 227 | |
| 2 | 2004 | 107 | |
| 3 | 2003 | 73 | |
| 4 | 2003 | 69 | |
| 5 | 2003 | 55 | |
| 6 | 2003 | 53 | |
| 7 | 2008 | 42 | |
| 8 | 2004 | 42 | |
| 9 | 1972 | 30 | |
| 10 | 1971 | 24 | |
| 11 | 2014 | 23 | |
| 12 | 1970 | 21 | |
| 13 | 2017 | 20 | |
| 14 | 2000 | 18 | |
| 15 | 2018 | 17 | |
| 16 | 2014 | 15 | |
| 17 | 1972 | 14 | |
| 18 | 2003 | 13 | |
| 19 | 2003 | 11 | |
| 20 | 1970 | 9 |
About A. Mac Sweeney
A. Mac Sweeney is a scholar working on Biological Psychiatry, Microbiology, Organic Chemistry, Molecular Biology and Computational Theory and Mathematics, having authored 30 papers that have together received 923 indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Peptidase Inhibition and Analysis (5 papers), Computational Drug Discovery Methods (4 papers), Crystallization and Solubility Studies (4 papers), Asymmetric Synthesis and Catalysis (3 papers), Chemical Synthesis and Analysis (3 papers), Porphyrin and Phthalocyanine Chemistry (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Molecular Biology (589 citations), Oncology (217 citations), Cellular and Molecular Neuroscience (105 citations), Materials Chemistry (218 citations) and Organic Chemistry (122 citations). A. Mac Sweeney has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include A. D’Arcy, Markus G. Grütter, Mrudula Donepudi, Christophe Briand, Christian Oefner, Glenn E. Dale, A. Douangamath, Henk Schulz, Roland Lange and M. Stihle. Their work appears in journals such as Journal of Molecular Biology, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Helvetica Chimica Acta and Acta Crystallographica Section D Structural Biology.
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.