Christopher M. DaCosta
About
In The Last Decade
Christopher M. DaCosta
13 papers receiving 538 citations
Peers
Comparison fields: 5 of 66
- Endocrinology, Diabetes and Metabolism 334
- Molecular Biology 246
- Surgery 240
- Physiology 59
- Genetics 50
Countries citing papers authored by Christopher M. DaCosta
This map shows the geographic impact of Christopher M. DaCosta'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 Christopher M. DaCosta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. DaCosta more than expected).
Fields of papers citing papers by Christopher M. DaCosta
This network shows the impact of papers produced by Christopher M. DaCosta. 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 Christopher M. DaCosta. The network helps show where Christopher M. DaCosta may publish in the future.
Co-authorship network of co-authors of Christopher M. DaCosta
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. DaCosta. A scholar is included among the top collaborators of Christopher M. DaCosta 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 Christopher M. DaCosta. Christopher M. DaCosta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Mice Lacking Gpr75 are Hypophagic and Thin | 15 |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 25 | |
| 6 | 44 | |
| 7 | 14 | |
| 8 | 156 | |
| 9 | 130 | |
| 10 | 26 | |
| 11 | 51 | |
| 12 | 63 | |
| 13 | 2 |
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.