Christel Picherit
About
In The Last Decade
Christel Picherit
10 papers receiving 524 citations
Peers
Comparison fields: 5 of 62
- Pathology and Forensic Medicine 351
- Genetics 201
- Nutrition and Dietetics 143
- Molecular Biology 142
- Oncology 106
Countries citing papers authored by Christel Picherit
This map shows the geographic impact of Christel Picherit'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 Christel Picherit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christel Picherit more than expected).
Fields of papers citing papers by Christel Picherit
This network shows the impact of papers produced by Christel Picherit. 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 Christel Picherit. The network helps show where Christel Picherit may publish in the future.
Co-authorship network of co-authors of Christel Picherit
This figure shows the co-authorship network connecting the top 25 collaborators of Christel Picherit. A scholar is included among the top collaborators of Christel Picherit 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 Christel Picherit. Christel Picherit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | Phytoestrogen-rich diets modulate expression of Brca1 and Brca2 tumor suppressor genes in mammary glands of female Wistar rats. | 26 |
| 3 | 63 | |
| 4 | 77 | |
| 5 | 91 | |
| 6 | 7 | |
| 7 | 233 | |
| 8 | 24 | |
| 9 | 6 | |
| 10 | 4 |
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.