Vera Carvalho
About
In The Last Decade
Vera Carvalho
4 papers receiving 670 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 539
- Physiology 196
- Infectious Diseases 162
- Gastroenterology 96
- Food Science 95
Countries citing papers authored by Vera Carvalho
This map shows the geographic impact of Vera Carvalho'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 Vera Carvalho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vera Carvalho more than expected).
Fields of papers citing papers by Vera Carvalho
This network shows the impact of papers produced by Vera Carvalho. 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 Vera Carvalho. The network helps show where Vera Carvalho may publish in the future.
Co-authorship network of co-authors of Vera Carvalho
This figure shows the co-authorship network connecting the top 25 collaborators of Vera Carvalho. A scholar is included among the top collaborators of Vera Carvalho 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 Vera Carvalho. Vera Carvalho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 301 | |
| 2 | Colonic transit time is related to bacterial metabolism and mucosal turnover in the human gut | 1 |
| 3 | 170 | |
| 4 | 204 |
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.