Christine P. Diggle
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 10%
- Genetics top 10%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- David T. BonthronAruna AsipuChristopher J. RivardTomoki KosugiMiguel A. LanaspaLaura Gabriela Sánchez‐LozadaCarlos A. Roncal-JiménezShoichi Maruyama
- Topics
- Enzyme Structure and Function (6 papers)Diet, Metabolism, and Disease (5 papers)Genomics and Rare Diseases (4 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismPediatrics, Perinatology and Child HealthMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Christine P. Diggle
35 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 942
- Endocrinology, Diabetes and Metabolism 513
- Epidemiology 424
- Genetics 335
- Pediatrics, Perinatology and Child Health 318
Countries citing papers authored by Christine P. Diggle
This map shows the geographic impact of Christine P. Diggle'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 Christine P. Diggle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine P. Diggle more than expected).
Fields of papers citing papers by Christine P. Diggle
This network shows the impact of papers produced by Christine P. Diggle. 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 Christine P. Diggle. The network helps show where Christine P. Diggle may publish in the future.
Co-authorship network of co-authors of Christine P. Diggle
This figure shows the co-authorship network connecting the top 25 collaborators of Christine P. Diggle. A scholar is included among the top collaborators of Christine P. Diggle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christine P. Diggle. Christine P. Diggle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 46 | |
| 5 | 23 | |
| 6 | 201 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 174 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 40 | |
| 13 | 36 | |
| 14 | 19 | |
| 15 | 59 | |
| 16 | 9 | |
| 17 | 19 | |
| 18 | 62 | |
| 19 | 29 | |
| 20 | 45 |
About Christine P. Diggle
Christine P. Diggle is a scholar working on Aging, Cancer Research and Molecular Biology, having authored 36 papers that have together received 2.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Diet, Metabolism, and Disease (5 papers) and Genomics and Rare Diseases (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (513 citations), Pediatrics, Perinatology and Child Health (318 citations) and Molecular Biology (942 citations). Christine P. Diggle has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include David T. Bonthron, Aruna Asipu, Christopher J. Rivard, Tomoki Kosugi, Miguel A. Lanaspa, Laura Gabriela Sánchez‐Lozada, Carlos A. Roncal-Jiménez, Shoichi Maruyama, Takuji Ishimoto and Richard J. Johnson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.