Joseph Shaw
- Molecular Biology
- Agronomy and Crop Science
- Genetics
- Computational Theory and Mathematics
- Pulmonary and Respiratory Medicine
- Co-authors
- Trevor LewisR. R. RobinsonDaniel O’NeillMartin J. MainDaniel Martinez MolinaMichael DabrowskiDavide GianniIan L. Dale
- Topics
- Computational Drug Discovery Methods (3 papers)Protein Structure and Dynamics (2 papers)Genetic and phenotypic traits in livestock (2 papers)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Joseph Shaw
13 papers receiving 203 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 120
- Agronomy and Crop Science 38
- Genetics 38
- Computational Theory and Mathematics 35
- Pulmonary and Respiratory Medicine 25
Countries citing papers authored by Joseph Shaw
This map shows the geographic impact of Joseph Shaw'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 Joseph Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Shaw more than expected).
Fields of papers citing papers by Joseph Shaw
This network shows the impact of papers produced by Joseph Shaw. 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 Joseph Shaw. The network helps show where Joseph Shaw may publish in the future.
Co-authorship network of co-authors of Joseph Shaw
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Shaw. A scholar is included among the top collaborators of Joseph Shaw 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 Joseph Shaw. Joseph Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 8 | |
| 4 | 39 | |
| 5 | 31 | |
| 6 | 47 | |
| 7 | 30 | |
| 8 | 39 | |
| 9 | INTERMEDIARY METABOLISM IN THE RUMINANT INCLUDING STUDIES ON RUMEN, LIVER AND LACTATING UDDER | 2 |
| 10 | Bovine ketosis: a microscopic study of the pituitary and adrenal glands. | 1 |
| 11 | 1 | |
| 12 | 3 | |
| 13 | Studies on ketosis in dairy cattle. XIV. An approach to the etiology of ketosis in dairy cows. | 3 |
About Joseph Shaw
Joseph Shaw is a scholar working on Biophysics, Computational Theory and Mathematics and Genetics, having authored 13 papers that have together received 214 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Protein Structure and Dynamics (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Agronomy and Crop Science (38 citations), Computational Theory and Mathematics (35 citations) and Hepatology (17 citations). Joseph Shaw has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Trevor Lewis, R. R. Robinson, Daniel O’Neill, Martin J. Main, Daniel Martinez Molina, Michael Dabrowski, Davide Gianni, Ian L. Dale, A.J. Narvaez and James J. Dowling. Their work appears in journals such as Scientific Reports, Journal of Medicinal Chemistry and Journal of Nutrition.
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.