Carissa Messah
About
In The Last Decade
Carissa Messah
6 papers receiving 398 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 275
- Cell Biology 222
- Epidemiology 102
- Cellular and Molecular Neuroscience 85
- Ophthalmology 54
Countries citing papers authored by Carissa Messah
This map shows the geographic impact of Carissa Messah'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 Carissa Messah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carissa Messah more than expected).
Fields of papers citing papers by Carissa Messah
This network shows the impact of papers produced by Carissa Messah. 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 Carissa Messah. The network helps show where Carissa Messah may publish in the future.
Co-authorship network of co-authors of Carissa Messah
This figure shows the co-authorship network connecting the top 25 collaborators of Carissa Messah. A scholar is included among the top collaborators of Carissa Messah 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 Carissa Messah. Carissa Messah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 108 | |
| 2 | 99 | |
| 3 | 1 | |
| 4 | 62 | |
| 5 | 69 | |
| 6 | 61 |
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.