Isaac Shaw
About
In The Last Decade
Isaac Shaw
10 papers receiving 362 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Molecular Biology 142
- Genetics 88
- Surgery 69
- Immunology 61
- Nephrology 54
Countries citing papers authored by Isaac Shaw
This map shows the geographic impact of Isaac 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 Isaac Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isaac Shaw more than expected).
Fields of papers citing papers by Isaac Shaw
This network shows the impact of papers produced by Isaac 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 Isaac Shaw. The network helps show where Isaac Shaw may publish in the future.
Co-authorship network of co-authors of Isaac Shaw
This figure shows the co-authorship network connecting the top 25 collaborators of Isaac Shaw. A scholar is included among the top collaborators of Isaac 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 Isaac Shaw. Isaac 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 | 19 | |
| 2 | Metabolism at the crossroads of inflammation and fibrosis in chronic kidney disease breakdown → | 45 |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 28 | |
| 6 | 8 | |
| 7 | 88 | |
| 8 | 92 | |
| 9 | 43 | |
| 10 | 28 |
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.