Karen Leffondré
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments 13
- Nephrology top 2%
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- Air Quality and Health Impacts 21
- Climate Change and Health Impacts 6
- Surgery top 2%
- Organ Transplantation Techniques and Outcomes 8
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- Statistical Methods and Inference 12
- Advanced Causal Inference Techniques 8
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- Health Systems, Economic Evaluations, Quality of Life 8
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- Organ Donation and Transplantation 6
Karen Leffondré
80 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Transplantation 294
- Nephrology 312
- Health, Toxicology and Mutagenesis 433
- Surgery 1.2k
- Cardiology and Cardiovascular Medicine 527
Countries citing papers authored by Karen Leffondré
This map shows the geographic impact of Karen Leffondré'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 Karen Leffondré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen Leffondré more than expected).
Fields of papers citing papers by Karen Leffondré
This network shows the impact of papers produced by Karen Leffondré. 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 Karen Leffondré. The network helps show where Karen Leffondré may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karen Leffondré, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 0 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 55 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 15 | |
| 14 | 2020 | 13 | |
| 15 | 2019 | 2 | |
| 16 | 2015 | 7 | |
| 17 | 2009 | 25 | |
| 18 | 2009 | 22 | |
| 19 | 2006 | 9 | |
| 20 | 2001 | 0 |
About Karen Leffondré
Karen Leffondré is a scholar working on Transplantation, Statistics and Probability, Health, Toxicology and Mutagenesis, Nephrology and Speech and Hearing, having authored 86 papers that have together received 3.8k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (21 papers), Renal Transplantation Outcomes and Treatments (13 papers), Statistical Methods and Inference (12 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Advanced Causal Inference Techniques (8 papers), Organ Transplantation Techniques and Outcomes (8 papers), Organ Donation and Transplantation (6 papers) and Climate Change and Health Impacts (6 papers). The work is most often cited by research in Transplantation (294 citations), Nephrology (312 citations), Health, Toxicology and Mutagenesis (433 citations), Surgery (1.2k citations) and Cardiology and Cardiovascular Medicine (527 citations). Karen Leffondré has collaborated with scholars based in France, Canada and Austria. Frequent co-authors include Georg Heinze, Liane S. Feldman, Gerald M. Fried, Melina C. Vassiliou, Kitty J. Jager, Donna Stanbridge, Christopher G. Andrew, Simon Bergman, Michał Abrahamowicz and Karlijn J. van Stralen. Their work appears in journals such as Nephrology Dialysis Transplantation, Statistics in Medicine, Occupational and Environmental Medicine, Journal of Clinical Epidemiology and Transplantation.
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.