D. Ogg
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Molecular Biology top 10%
- Fibroblast Growth Factor Research
- Protein Tyrosine Phosphatases
Papers in
-
- Protein Structure and Dynamics 3
- Porphyrin Metabolism and Disorders 2
-
- Hormonal Regulation and Hypertension 5
- Co-authors
- Jan Kihlberg (2 shared papers)Scott J. Hultgren (2 shared papers)Carina Norström (2 shared papers)Stefan Svensson (2 shared papers)Meta Kuehn (1 shared paper)Terese Bergfors (1 shared paper)John E. Bleasdale (2 shared papers)Charlotta Liljebris (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (6 papers)MedChemComm (2 papers)The EMBO Journal (2 papers)Acta Crystallographica Section D Structural Biology (1 paper)Science (1 paper)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
D. Ogg
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Endocrinology 107
- Molecular Biology 809
- Biochemistry 85
- Cell Biology 126
- Pharmacology 65
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 224 | |
| 2 | 1993 | 175 | |
| 3 | 2016 | 93 | |
| 4 | 2002 | 84 | |
| 5 | 1987 | 78 | |
| 6 | 1998 | 75 | |
| 7 | 2005 | 60 | |
| 8 | 2020 | 60 | |
| 9 | 2001 | 58 | |
| 10 | 2006 | 57 | |
| 11 | 2012 | 51 | |
| 12 | 2004 | 39 | |
| 13 | 2012 | 36 | |
| 14 | 2012 | 31 | |
| 15 | 2008 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2005 | 15 | |
| 18 | 2016 | 13 | |
| 19 | 2006 | 10 | |
| 20 | 1985 | 10 |
About D. Ogg
D. Ogg is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Immunology, Materials Chemistry and Biochemistry, having authored 24 papers that have together received 1.2k 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), Click Chemistry and Applications (2 papers), Galectins and Cancer Biology (2 papers), Biochemical Acid Research Studies (2 papers), Porphyrin Metabolism and Disorders (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Endocrinology (107 citations), Molecular Biology (809 citations), Biochemistry (85 citations), Cell Biology (126 citations) and Pharmacology (65 citations). D. Ogg has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Jan Kihlberg, Scott J. Hultgren, Carina Norström, Stefan Svensson, Meta Kuehn, Terese Bergfors, John E. Bleasdale, Charlotta Liljebris, Scott D. Larsen and Barbara J. Palazuk. Their work appears in journals such as Journal of Medicinal Chemistry, MedChemComm, The EMBO Journal, Acta Crystallographica Section D Structural Biology and Science.
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.