Pascal Laeng
- Molecular Biology top 10%
- Surgery top 5%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Nadya LumelskyRea RavinRon McKayOlivier BlondelIván VelascoC. Anthony AltarAndrew L. LemireJeffrey A. Brockman
- Topics
- Neurogenesis and neuroplasticity mechanisms (7 papers)Signaling Pathways in Disease (4 papers)Pancreatic function and diabetes (4 papers)
- Cited by
- Developmental NeuroscienceCellular and Molecular NeuroscienceEndocrinology, Diabetes and Metabolism
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Pascal Laeng
19 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.1k
- Surgery 897
- Genetics 529
- Cellular and Molecular Neuroscience 397
- Endocrinology, Diabetes and Metabolism 348
Countries citing papers authored by Pascal Laeng
This map shows the geographic impact of Pascal Laeng'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 Pascal Laeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Laeng more than expected).
Fields of papers citing papers by Pascal Laeng
This network shows the impact of papers produced by Pascal Laeng. 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 Pascal Laeng. The network helps show where Pascal Laeng may publish in the future.
Co-authorship network of co-authors of Pascal Laeng
This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Laeng. A scholar is included among the top collaborators of Pascal Laeng 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 Pascal Laeng. Pascal Laeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 4 | |
| 3 | 39 | |
| 4 | 142 | |
| 5 | 43 | |
| 6 | 261 | |
| 7 | Differentiation of Embryonic Stem Cells to Insulin-Secreting Structures Similar to Pancreatic Isletsbreakdown → | 1130 |
| 8 | 45 | |
| 9 | 4 | |
| 10 | 29 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 45 | |
| 14 | 54 | |
| 15 | 30 | |
| 16 | 25 | |
| 17 | 1 | |
| 18 | 46 | |
| 19 | 10 |
About Pascal Laeng
Pascal Laeng is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Immunology and Allergy, having authored 19 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (7 papers), Signaling Pathways in Disease (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Developmental Neuroscience (312 citations), Cellular and Molecular Neuroscience (397 citations) and Endocrinology, Diabetes and Metabolism (348 citations). Pascal Laeng has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Nadya Lumelsky, Rea Ravin, Ron McKay, Olivier Blondel, Iván Velasco, C. Anthony Altar, Andrew L. Lemire, Jeffrey A. Brockman, Linda W. Jurata and G. Labourdette. Their work appears in journals such as Science, Journal of Neuroscience and Biological Psychiatry.
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.