D. Ogg
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
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- Fibroblast Growth Factor Research
- Protein Tyrosine Phosphatases
- RNA and protein synthesis mechanisms
- Microbial metabolism and enzyme function
Papers in ⓘ
- Co-authors
- Jan Kihlberg (2 shared papers)Scott J. Hultgren (2 shared papers)Meta Kuehn (1 shared paper)Terese Bergfors (1 shared paper)Scott D. Larsen (2 shared papers)Barbara J. Palazuk (2 shared papers)John E. Bleasdale (2 shared papers)Charlotta Liljebris (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (6 papers)MedChemComm (2 papers)Acta Crystallographica Section D Structural Biology (1 paper)Journal of the American Chemical Society (1 paper)FEBS Letters (1 paper)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
D. Ogg
23 papers receiving 962 citations
Peers
Comparison fields: 5 of 84
- Endocrinology 108
- Molecular Biology 673
- Biochemistry 67
- Cell Biology 125
- Toxicology 21
Countries citing papers authored by D. Ogg
This map shows the geographic impact of D. Ogg'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 D. Ogg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Ogg more than expected).
Fields of papers citing papers by D. Ogg
This network shows the impact of papers produced by D. Ogg. 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 D. Ogg. The network helps show where D. Ogg may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Ogg, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 175 | |
| 2 | 2016 | 91 | |
| 3 | 2002 | 85 | |
| 4 | 1987 | 78 | |
| 5 | 1998 | 75 | |
| 6 | 2005 | 60 | |
| 7 | 2001 | 60 | |
| 8 | 2006 | 57 | |
| 9 | 2020 | 57 | |
| 10 | 2012 | 49 | |
| 11 | 2004 | 39 | |
| 12 | 2012 | 36 | |
| 13 | 2012 | 31 | |
| 14 | 2008 | 16 | |
| 15 | 2022 | 16 | |
| 16 | 2005 | 15 | |
| 17 | 2016 | 13 | |
| 18 | 2006 | 10 | |
| 19 | 1985 | 10 | |
| 20 | 2013 | 6 |
About D. Ogg
D. Ogg is a scholar working on Toxicology, Biochemistry, Pharmacology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 23 papers that have together received 990 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (5 papers), Enzyme Structure and Function (5 papers), Protein Structure and Dynamics (3 papers), Kruppel-like factors research (2 papers), Computational Drug Discovery Methods (2 papers), Protein Tyrosine Phosphatases (2 papers), Galectins and Cancer Biology (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Endocrinology (108 citations), Molecular Biology (673 citations), Biochemistry (67 citations), Cell Biology (125 citations) and Toxicology (21 citations). D. Ogg has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Jan Kihlberg, Scott J. Hultgren, Meta Kuehn, Terese Bergfors, Scott D. Larsen, Barbara J. Palazuk, John E. Bleasdale, Charlotta Liljebris, Emma Jakobsson and Joakim Nilsson. Their work appears in journals such as Journal of Medicinal Chemistry, MedChemComm, Acta Crystallographica Section D Structural Biology, Journal of the American Chemical Society and FEBS 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.