Pascal Laeng

2.5k citations
19 papers · 2.1k · 1 hit paper · h-index 13

Impact in

Papers in

Pascal Laeng

19 papers receiving 2.0k citations

Pascal Laeng's Hit Papers

Differentiation of Embryonic Stem Cells to Insulin-Secreting Structures Similar to Pancreatic Islets 2001 · 1.2k citations
1.2k0+8+16Years since publication2505007501000

Peers

Pascal Laeng
Comparison fields: 5 of 90
  • Developmental Neuroscience 312
  • Surgery 918
  • Cellular and Molecular Neuroscience 383
  • Endocrinology, Diabetes and Metabolism 325
  • Genetics 491
Replace Richard E. Clatterbuck with:
Richard E. Clatterbuck United States
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Er‐Yun Chen United States
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Patricia A. Lampe United States
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Citations per field
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Citations per year

Countries citing papers authored by Pascal Laeng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Pascal Laeng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pascal Laeng Line = papers co-authored together Pascal Laeng links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Differentiation of Embryonic Stem Cells to Insulin-Secreting Structures Similar to Pancreatic Islets
Hit paper breakdown →
20011193
2 2004277
3 2004149
4 199356
5 199052
6 199447
7 199845
8 200444
9 200840
10 201340
11 199632
12 199330
13 199226
14 198910
15 19959
16 20134
17 19984
18 19962
19 19921

About Pascal Laeng

Pascal Laeng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Cancer Research and Surgery, having authored 19 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (7 papers), Signaling Pathways in Disease (4 papers), Pancreatic function and diabetes (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Liver physiology and pathology (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Developmental Neuroscience (312 citations), Surgery (918 citations), Cellular and Molecular Neuroscience (383 citations), Endocrinology, Diabetes and Metabolism (325 citations) and Genetics (491 citations). Pascal Laeng has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Ron McKay, Nadya Lumelsky, Olivier Blondel, Rea Ravin, Andrew L. Lemire, C. Anthony Altar, Linda W. Jurata, Jeffrey A. Brockman, G. Labourdette and Yury V. Bukhman. Their work appears in journals such as Glia, Journal of Neurochemistry, Journal of Neuroscience, Biological Psychiatry and Developmental Biology.

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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