Sandrine Micallef

1.0k citations
24 papers · 678 indexed · 1 hit paper · h-index 10
Topics
Statistical Methods in Clinical Trials (6 papers)Carcinogens and Genotoxicity Assessment (3 papers)CAR-T cell therapy research (3 papers)

In The Last Decade

Sandrine Micallef

23 papers receiving 663 citations

Hit Papers

Use of historical control data for assessing treatment ef...20132026201720212013100200300

Peers

Sandrine Micallef
Comparison fields: 5 of 119
  • Statistics and Probability 292
  • Economics and Econometrics 111
  • Molecular Biology 96
  • Pulmonary and Respiratory Medicine 79
  • Oncology 68
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Sandrine Micallef relative to Alexei Dmitrienko United States Alexei Dmitrienko's profile →
Citations per field
00.5×4.4×
Alexei Dmitrienko · 1×
Citations per year

Countries citing papers authored by Sandrine Micallef

Since Specialization
Citations

This map shows the geographic impact of Sandrine Micallef'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 Sandrine Micallef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandrine Micallef more than expected).

Fields of papers citing papers by Sandrine Micallef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandrine Micallef. 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 Sandrine Micallef. The network helps show where Sandrine Micallef may publish in the future.

Co-authorship network of co-authors of Sandrine Micallef

This figure shows the co-authorship network connecting the top 25 collaborators of Sandrine Micallef. A scholar is included among the top collaborators of Sandrine Micallef 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 Sandrine Micallef. Sandrine Micallef is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 1
3 8
4 11
5 1
6 7
7 4
8 3
9 11
10 3
11 6
12 14
13 92
14
Use of historical control data for assessing treatment effects in clinical trialsbreakdown →
327
15 56
16 2
17 6
18 38
19 35
20
L’analyse statistique bayésienne de données toxicocinétiques
2

About Sandrine Micallef

Sandrine Micallef is a scholar working on Statistics and Probability, Cancer Research and Pharmaceutical Science, having authored 24 papers that have together received 678 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (6 papers), Carcinogens and Genotoxicity Assessment (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Statistics and Probability (292 citations), Statistics, Probability and Uncertainty (47 citations) and Endocrine and Autonomic Systems (38 citations). Sandrine Micallef has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Joseph G. Ibrahim, Billy Amzal, Nelson Kinnersley, Satrajit Roychoudhury, Kert Viele, Stacy Lindborg, Scott Berry, Laura Thompson, Beat Neuenschwander and Fang Chen. Their work appears in journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

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.

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