Nicolas Ledru
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
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- Single-cell and spatial transcriptomics
- Renal and related cancers
- Epigenetics and DNA Methylation
Papers in
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- Renal and related cancers 7
- Single-cell and spatial transcriptomics 6
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- Chronic Kidney Disease and Diabetes 3
- Co-authors
- Benjamin D. Humphreys (9 shared papers)Hao Wu (8 shared papers)Parker C. Wilson (5 shared papers)Sushrut S. Waikar (4 shared papers)Yoshiharu Muto (6 shared papers)Yuhei Kirita (2 shared papers)Paul A. Welling (2 shared papers)Kohei Uchimura (1 shared paper)
- Journals
- Nature Communications (3 papers)Proceedings of the National Academy of Sciences (3 papers)Circulation (1 paper)Genetics (1 paper)Neuron (1 paper)
- Partner nations
- United StatesDenmark
In The Last Decade
Nicolas Ledru
12 papers receiving 880 citations
Nicolas Ledru's Hit Papers
Peers
Comparison fields: 5 of 77
- Nephrology 244
- Molecular Biology 491
- Cancer Research 79
- Transplantation 13
- Immunology 98
Countries citing papers authored by Nicolas Ledru
This map shows the geographic impact of Nicolas Ledru'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 Nicolas Ledru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Ledru more than expected).
Fields of papers citing papers by Nicolas Ledru
This network shows the impact of papers produced by Nicolas Ledru. 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 Nicolas Ledru. The network helps show where Nicolas Ledru may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Ledru, 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 | The single-cell transcriptomic landscape of early human diabetic nephropathy Hit paper breakdown → | 2019 | 360 |
| 2 | Single cell transcriptional and chromatin accessibility profiling redefine cellular heterogeneity in the adult human kidney Hit paper breakdown → | 2021 | 271 |
| 3 | 2022 | 60 | |
| 4 | 2024 | 45 | |
| 5 | 2023 | 32 | |
| 6 | 2018 | 31 | |
| 7 | 2024 | 30 | |
| 8 | 2024 | 22 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 9 | |
| 11 | 2024 | 7 | |
| 12 | 2023 | 1 |
About Nicolas Ledru
Nicolas Ledru is a scholar working on Molecular Biology, Nephrology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis, having authored 12 papers that have together received 884 indexed citations. Recurring topics across this work include Renal and related cancers (7 papers), Single-cell and spatial transcriptomics (6 papers), Chronic Kidney Disease and Diabetes (3 papers), Zebrafish Biomedical Research Applications (2 papers), Renal cell carcinoma treatment (2 papers), Health, Environment, Cognitive Aging (2 papers), Genetic and Kidney Cyst Diseases (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Nephrology (244 citations), Molecular Biology (491 citations), Cancer Research (79 citations), Transplantation (13 citations) and Immunology (98 citations). Nicolas Ledru has collaborated with scholars based in United States and Denmark. Frequent co-authors include Benjamin D. Humphreys, Hao Wu, Parker C. Wilson, Sushrut S. Waikar, Yoshiharu Muto, Yuhei Kirita, Paul A. Welling, Kohei Uchimura, Helmut G. Rennke and Henrik Dimke. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Circulation, Genetics and Neuron.
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.