Ian Cottingham
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in ⓘ
-
- Lipid metabolism and biosynthesis 6
- Co-authors
- C I Ragan (5 shared papers)Anthony L. Moore (6 shared papers)Peter Roberts (1 shared paper)Donald R. Kuonen (1 shared paper)Antoni R. Slabas (5 shared papers)Angelika Schnieke (2 shared papers)Alan Colman (2 shared papers)Ian Garner (2 shared papers)
- Journals
- Biochemical Journal (5 papers)Nature Biotechnology (3 papers)European Journal of Biochemistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)Biochemical Society Transactions (2 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Ian Cottingham
26 papers receiving 543 citations
Peers
Comparison fields: 5 of 81
- Biochemistry 64
- Clinical Biochemistry 52
- Molecular Biology 451
- Genetics 138
- Microbiology 17
Countries citing papers authored by Ian Cottingham
This map shows the geographic impact of Ian Cottingham'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 Ian Cottingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Cottingham more than expected).
Fields of papers citing papers by Ian Cottingham
This network shows the impact of papers produced by Ian Cottingham. 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 Ian Cottingham. The network helps show where Ian Cottingham may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Cottingham, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 81 | |
| 2 | 1985 | 69 | |
| 3 | 1986 | 50 | |
| 4 | 2001 | 42 | |
| 5 | 1996 | 41 | |
| 6 | 1998 | 36 | |
| 7 | 1995 | 31 | |
| 8 | 1980 | 30 | |
| 9 | 1990 | 21 | |
| 10 | 1984 | 20 | |
| 11 | 1991 | 18 | |
| 12 | 1980 | 18 | |
| 13 | 1988 | 18 | |
| 14 | 1988 | 17 | |
| 15 | 1980 | 15 | |
| 16 | 1984 | 14 | |
| 17 | 1986 | 14 | |
| 18 | 1983 | 12 | |
| 19 | 1989 | 9 | |
| 20 | 1992 | 7 |
About Ian Cottingham
Ian Cottingham is a scholar working on Biochemistry, Biotechnology, Clinical Biochemistry, Molecular Biology and Cancer Research, having authored 26 papers that have together received 576 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (6 papers), Mitochondrial Function and Pathology (6 papers), ATP Synthase and ATPases Research (5 papers), Photosynthetic Processes and Mechanisms (4 papers), Animal Genetics and Reproduction (4 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Biochemistry (64 citations), Clinical Biochemistry (52 citations), Molecular Biology (451 citations), Genetics (138 citations) and Microbiology (17 citations). Ian Cottingham has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include C I Ragan, Anthony L. Moore, Peter Roberts, Donald R. Kuonen, Antoni R. Slabas, Angelika Schnieke, Alan Colman, Ian Garner, Martin McKee and Colin J. Wilde. Their work appears in journals such as Biochemical Journal, Nature Biotechnology, European Journal of Biochemistry, Proceedings of the National Academy of Sciences and Biochemical Society Transactions.
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.