Pascal E. D. Lachance

678 citations
9 papers · 550 · h-index 6

Impact in

Papers in

    • RNA and protein synthesis mechanisms 2
    • RNA Research and Splicing 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • RNA regulation and disease 2
    • Retinal Development and Disorders 2
    • Neuroscience and Neuropharmacology Research 4
    • Neurobiology and Insect Physiology Research 2

Pascal E. D. Lachance

9 papers receiving 542 citations

Peers

Pascal E. D. Lachance
Comparison fields: 5 of 68
  • Aging 39
  • Cellular and Molecular Neuroscience 175
  • Molecular Biology 439
  • Cell Biology 54
  • Immunology 63
Replace Katarina Kapuralin with:
Katarina Kapuralin Croatia
Sofia Grammenoudi Greece
Florence Maschat France
Andriy S. Yatsenko Germany
Yerbol Z. Kurmangaliyev United States
Dong Yan United States
Marta Magariños Spain
Noelia Pinal United Kingdom
April Duckworth United States
Dean G. Stathakis United States
Pascal E. D. Lachance relative to Katarina Kapuralin Croatia Katarina Kapuralin's profile →
Citations per field
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Katarina Kapuralin · 1×
Citations per year

Countries citing papers authored by Pascal E. D. Lachance

Since Specialization
Citations

This map shows the geographic impact of Pascal E. D. Lachance'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 E. D. Lachance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal E. D. Lachance more than expected).

Fields of papers citing papers by Pascal E. D. Lachance

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pascal E. D. Lachance. 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 E. D. Lachance. The network helps show where Pascal E. D. Lachance may publish in the future.

Co-authors

The 12 scholars most cited alongside Pascal E. D. Lachance, 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 E. D. Lachance Line = papers co-authored together Pascal E. D. Lachance links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2001171
2 2002145
3 2000142
4 200439
5 199629
6 200415
7 20084
8 20074
9 20201

About Pascal E. D. Lachance

Pascal E. D. Lachance is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Cell Biology and Physiology, having authored 9 papers that have together received 550 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Neurobiology and Insect Physiology Research (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA Research and Splicing (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), RNA regulation and disease (2 papers), Retinal Development and Disorders (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Aging (39 citations), Cellular and Molecular Neuroscience (175 citations), Molecular Biology (439 citations), Cell Biology (54 citations) and Immunology (63 citations). Pascal E. D. Lachance has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Paul Lasko, Nahum Sonenberg, Mathieu Miron, Brian Raught, Morris J. Birnbaum, Avi Chaudhuri, Stephan J. Sigrist, Christoph Schuster, Dierk F. Reiff and Cynthia Lavoie. Their work appears in journals such as Nature Cell Biology, Genes Brain & Behavior, Journal of Neuroscience, Journal of Biological Chemistry and Brain Research.

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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