Anne Vassault
- Physiology top 2%
- Molecular Biology top 10%
- Clinical Biochemistry top 0.5%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology top 10%
- Co-authors
- Sol GreenVladimír PaličkaNorbert BlanckaertMario PlebaniGiuseppe LippiPierangelo BoniniDaniel RabierSteve Kitchen
- Topics
- Clinical Laboratory Practices and Quality Control (23 papers)Metabolism and Genetic Disorders (21 papers)Diet and metabolism studies (12 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Anne Vassault
97 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 144
- Physiology 894
- Molecular Biology 891
- Clinical Biochemistry 638
- Endocrinology, Diabetes and Metabolism 357
- Epidemiology 284
Countries citing papers authored by Anne Vassault
This map shows the geographic impact of Anne Vassault'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 Anne Vassault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Vassault more than expected).
Fields of papers citing papers by Anne Vassault
This network shows the impact of papers produced by Anne Vassault. 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 Anne Vassault. The network helps show where Anne Vassault may publish in the future.
Co-authorship network of co-authors of Anne Vassault
This figure shows the co-authorship network connecting the top 25 collaborators of Anne Vassault. A scholar is included among the top collaborators of Anne Vassault 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 Anne Vassault. Anne Vassault is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 18 | |
| 5 | 26 | |
| 6 | 85 | |
| 7 | 87 | |
| 8 | 3 | |
| 9 | 312 | |
| 10 | 14 | |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 13 | |
| 14 | Améliorations apportées par le matériau de référence CRM 470 dans la standardisation du dosage des protéines sériques | 1 |
| 15 | 1 | |
| 16 | 10 | |
| 17 | 53 | |
| 18 | 37 | |
| 19 | 4 | |
| 20 | Criteria for establishing a standardized method for determining alkaline phosphatase activity in human serum. | 46 |
About Anne Vassault
Anne Vassault is a scholar working on Medical Laboratory Technology, Clinical Biochemistry and Statistics, Probability and Uncertainty, having authored 107 papers that have together received 2.6k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (23 papers), Metabolism and Genetic Disorders (21 papers) and Diet and metabolism studies (12 papers). The work is most often cited by research in Clinical Biochemistry (638 citations), Statistics, Probability and Uncertainty (280 citations) and Physiology (894 citations). Anne Vassault has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Sol Green, Vladimír Palička, Norbert Blanckaert, Mario Plebani, Giuseppe Lippi, Pierangelo Bonini, Daniel Rabier, Steve Kitchen, Jean‐Paul Bonnefont and Bernard Lacour. Their work appears in journals such as PLoS ONE, Molecular and Cellular Biology and Hepatology.
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.