Christian Laveille
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials 9
- Statistical Methods and Bayesian Inference 5
- Transplantation top 10%
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 6
- Treatment of Major Depression 3
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 6
- Treatment of Major Depression 3
- Hematology top 10%
- Autoimmune and Inflammatory Disorders Research 4
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- Immune Cell Function and Interaction 4
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- Neurotransmitter Receptor Influence on Behavior 4
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- Pharmaceutical studies and practices 4
- Co-authors
- Karl BrendelCéline M. LaffontEmmanuelle CometsFrance MentréPascal GirardRoeline JochemsenAnnabelle Lemenuel‐DiotBrigitte Tranchand
- Journals
- Blood (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Christian Laveille
32 papers receiving 984 citations
Peers
Comparison fields: 5 of 103
- Statistics and Probability 150
- Transplantation 38
- Pharmacology 202
- Pharmacology 102
- Hematology 103
Countries citing papers authored by Christian Laveille
This map shows the geographic impact of Christian Laveille'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 Christian Laveille with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Laveille more than expected).
Fields of papers citing papers by Christian Laveille
This network shows the impact of papers produced by Christian Laveille. 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 Christian Laveille. The network helps show where Christian Laveille may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christian Laveille, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 67 | |
| 7 | 2018 | 13 | |
| 8 | 2013 | 9 | |
| 9 | 2008 | 1 | |
| 10 | 2007 | 70 | |
| 11 | 2007 | 145 | |
| 12 | 2007 | 32 | |
| 13 | 2006 | 6 | |
| 14 | 2005 | 13 | |
| 15 | 2005 | 5 | |
| 16 | 2004 | 10 | |
| 17 | 2004 | 12 | |
| 18 | 2003 | 6 | |
| 19 | 2003 | 43 | |
| 20 | 2000 | 15 |
About Christian Laveille
Christian Laveille is a scholar working on Statistics and Probability, Pharmacology and Transplantation, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Pharmacogenetics and Drug Metabolism (6 papers), Statistical Methods and Bayesian Inference (5 papers), Immune Cell Function and Interaction (4 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Pharmaceutical studies and practices (4 papers) and Treatment of Major Depression (3 papers). The work is most often cited by research in Statistics and Probability (150 citations), Transplantation (38 citations) and Pharmacology (202 citations). Christian Laveille has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Karl Brendel, Céline M. Laffont, Emmanuelle Comets, France Mentré, Pascal Girard, Roeline Jochemsen, Annabelle Lemenuel‐Diot, Brigitte Tranchand, Patrice Jaillon and G. Resplandy. Their work appears in journals such as Blood, The Journal of Clinical Endocrinology & Metabolism and Journal of 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.