William Loging
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Oncology
- Pharmacology top 5%
- Cancer Research
- Co-authors
- Robert A. VolkmannAnton FliriPeter F. ThadeioDavid ReismanLee HarlandBryn Williams–JonesDavid A. PerryJoan A. Keiser
- Topics
- Computational Drug Discovery Methods (9 papers)Bioinformatics and Genomic Networks (6 papers)Receptor Mechanisms and Signaling (4 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
William Loging
19 papers receiving 863 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 575
- Computational Theory and Mathematics 390
- Oncology 136
- Pharmacology 114
- Cancer Research 105
Countries citing papers authored by William Loging
This map shows the geographic impact of William Loging'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 William Loging with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Loging more than expected).
Fields of papers citing papers by William Loging
This network shows the impact of papers produced by William Loging. 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 William Loging. The network helps show where William Loging may publish in the future.
Co-authorship network of co-authors of William Loging
This figure shows the co-authorship network connecting the top 25 collaborators of William Loging. A scholar is included among the top collaborators of William Loging 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 William Loging. William Loging is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 11 | |
| 3 | Analysis of information flows in interaction networks: implication for drug discovery and pharmacological research. | 3 |
| 4 | 34 | |
| 5 | 28 | |
| 6 | 104 | |
| 7 | 21 | |
| 8 | 26 | |
| 9 | 21 | |
| 10 | 65 | |
| 11 | 1 | |
| 12 | 123 | |
| 13 | 63 | |
| 14 | 140 | |
| 15 | 83 | |
| 16 | 36 | |
| 17 | Elevated expression of ribosomal protein genes L37, RPP-1, and S2 in the presence of mutant p53. | 54 |
| 18 | 57 | |
| 19 | 20 |
About William Loging
William Loging is a scholar working on Computational Theory and Mathematics, Pharmacology and Molecular Biology, having authored 19 papers that have together received 899 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Bioinformatics and Genomic Networks (6 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Computational Theory and Mathematics (390 citations), Pharmacology (114 citations) and Molecular Biology (575 citations). William Loging has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Robert A. Volkmann, Anton Fliri, Peter F. Thadeio, David Reisman, Lee Harland, Bryn Williams–Jones, David Reisman, David A. Perry, Joan A. Keiser and Delvin R. Knight. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Nature Reviews Drug Discovery.
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.