John C. Connelly
- Spectroscopy top 1%
- Molecular Biology top 2%
- Metabolomics and Mass Spectrometry Studies 11
- DNA Repair Mechanisms 8
- CRISPR and Genetic Engineering 4
- Pharmacology top 1%
- Drug-Induced Hepatotoxicity and Protection 3
- Analytical Chemistry top 2%
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- Advanced MRI Techniques and Applications 7
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- NMR spectroscopy and applications 5
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- Bacterial Genetics and Biotechnology 5
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- Neuroscience of respiration and sleep 3
- Co-authors
- Elaine HolmesJeremy K. NicholsonJohn C. LindonDavid R. F. LeachAndrew W. NichollsSusan C. ConnorGareth A. CromieS. C. Connor
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Molecular Cell (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
John C. Connelly
33 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Spectroscopy 812
- Molecular Biology 3.4k
- Complementary and alternative medicine 274
- Pharmacology 272
- Analytical Chemistry 253
Countries citing papers authored by John C. Connelly
This map shows the geographic impact of John C. Connelly'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 John C. Connelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Connelly more than expected).
Fields of papers citing papers by John C. Connelly
This network shows the impact of papers produced by John C. Connelly. 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 John C. Connelly. The network helps show where John C. Connelly may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John C. Connelly, 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 | 2015 | 1 | |
| 2 | 2005 | 34 | |
| 3 | 2004 | 47 | |
| 4 | 2003 | 57 | |
| 5 | 2003 | 83 | |
| 6 | 2002 | 14 | |
| 7 | 2002 | 114 | |
| 8 | Metabonomics: a platform for studying drug toxicity and gene functionbreakdown → | 2002 | 1538 |
| 9 | 2001 | 82 | |
| 10 | 2001 | 254 | |
| 11 | 1999 | 107 | |
| 12 | 1999 | 50 | |
| 13 | 1998 | 185 | |
| 14 | 1996 | 6 | |
| 15 | 1996 | 123 | |
| 16 | 1992 | 30 | |
| 17 | 1989 | 43 | |
| 18 | 1988 | 35 | |
| 19 | 1988 | 45 | |
| 20 | 1986 | 15 |
About John C. Connelly
John C. Connelly is a scholar working on Pharmacology, Endocrine and Autonomic Systems and Nuclear and High Energy Physics, having authored 34 papers that have together received 4.5k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (11 papers), DNA Repair Mechanisms (8 papers), Advanced MRI Techniques and Applications (7 papers), NMR spectroscopy and applications (5 papers), Bacterial Genetics and Biotechnology (5 papers), CRISPR and Genetic Engineering (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers) and Neuroscience of respiration and sleep (3 papers). The work is most often cited by research in Spectroscopy (812 citations), Molecular Biology (3.4k citations) and Complementary and alternative medicine (274 citations). John C. Connelly has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Elaine Holmes, Jeremy K. Nicholson, John C. Lindon, David R. F. Leach, Andrew W. Nicholls, Susan C. Connor, Gareth A. Cromie, S. C. Connor, Mary E. Bollard and Manfred Spraul. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Molecular Cell.
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.