D. Ogg
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Molecular Biology top 5%
- Protein Tyrosine Phosphatases
- Biochemical and Structural Characterization
- Protein Structure and Dynamics
- Protein Degradation and Inhibitors
Papers in
-
- Protein Tyrosine Phosphatases 5
- Protein Kinase Regulation and GTPase Signaling 4
- Heat shock proteins research 2
-
- Computational Drug Discovery Methods 6
- Co-authors
- Jan O. Kihlberg (2 shared papers)Scott J. Hultgren (2 shared papers)Carina Norström (2 shared papers)Stefan Svensson (2 shared papers)Terese Bergfors (1 shared paper)Meta J. Kuehn (1 shared paper)John E. Bleasdale (2 shared papers)Scott D. Larsen (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (9 papers)MedChemComm (2 papers)The EMBO Journal (2 papers)Proteins Structure Function and Bioinformatics (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
D. Ogg
32 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 86
- Endocrinology 113
- Molecular Biology 1k
- Computational Theory and Mathematics 247
- Organic Chemistry 337
- Endocrinology, Diabetes and Metabolism 78
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 243 | |
| 2 | 1993 | 189 | |
| 3 | 2016 | 111 | |
| 4 | 2002 | 98 | |
| 5 | 2016 | 98 | |
| 6 | 2001 | 83 | |
| 7 | 1987 | 82 | |
| 8 | 1998 | 81 | |
| 9 | 2020 | 71 | |
| 10 | 2020 | 67 | |
| 11 | 2005 | 65 | |
| 12 | 2013 | 63 | |
| 13 | 2001 | 61 | |
| 14 | 2006 | 60 | |
| 15 | 2012 | 56 | |
| 16 | 2015 | 56 | |
| 17 | 2018 | 56 | |
| 18 | 2019 | 52 | |
| 19 | 2012 | 43 | |
| 20 | 2004 | 41 |
About D. Ogg
D. Ogg is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Materials Chemistry and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Synthesis and biological activity (7 papers), Enzyme Structure and Function (7 papers), Computational Drug Discovery Methods (6 papers), Protein Tyrosine Phosphatases (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Hormonal Regulation and Hypertension (3 papers), Heat shock proteins research (2 papers) and Synthesis and Characterization of Heterocyclic Compounds (2 papers). The work is most often cited by research in Endocrinology (113 citations), Molecular Biology (1k citations), Computational Theory and Mathematics (247 citations), Organic Chemistry (337 citations) and Endocrinology, Diabetes and Metabolism (78 citations). D. Ogg has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Jan O. Kihlberg, Scott J. Hultgren, Carina Norström, Stefan Svensson, Terese Bergfors, Meta J. Kuehn, John E. Bleasdale, Scott D. Larsen, Charlotta Liljebris and Barbara J. Palazuk. Their work appears in journals such as Journal of Medicinal Chemistry, MedChemComm, The EMBO Journal, Proteins Structure Function and Bioinformatics and ACS Medicinal Chemistry 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.