Christopher P. Lapointe

1.2k citations
23 papers · 694 · h-index 14

Impact in

    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • CRISPR and Genetic Engineering
    • RNA regulation and disease
    • Mitochondrial Function and Pathology

Papers in

Christopher P. Lapointe

22 papers receiving 694 citations

Peers

Christopher P. Lapointe
Comparison fields: 5 of 57
  • Aging 18
  • Molecular Biology 561
  • Infectious Diseases 97
  • Cardiology and Cardiovascular Medicine 55
  • Cell Biology 40
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Citations per field
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Citations per year

Countries citing papers authored by Christopher P. Lapointe

Since Specialization
Citations

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

Fields of papers citing papers by Christopher P. Lapointe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher P. Lapointe. 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 Christopher P. Lapointe. The network helps show where Christopher P. Lapointe may publish in the future.

Co-authors

The 25 scholars most cited alongside Christopher P. Lapointe, 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 Christopher P. Lapointe Line = papers co-authored together Christopher P. Lapointe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021122
2 201573
3 201770
4 201855
5 201954
6 201948
7 201548
8 202243
9 201939
10 202329
11 201728
12 201724
13 201321
14 202018
15 202010
16 20254
17 20252
18 20172
19 20191
20 20251

About Christopher P. Lapointe

Christopher P. Lapointe is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Infectious Diseases, Oncology and Cell Biology, having authored 23 papers that have together received 694 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (19 papers), RNA Research and Splicing (14 papers), RNA modifications and cancer (13 papers), Viral Infections and Immunology Research (3 papers), CRISPR and Genetic Engineering (3 papers), Genomics and Chromatin Dynamics (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and PARP inhibition in cancer therapy (1 paper). The work is most often cited by research in Aging (18 citations), Molecular Biology (561 citations), Infectious Diseases (97 citations), Cardiology and Cardiovascular Medicine (55 citations) and Cell Biology (40 citations). Christopher P. Lapointe has collaborated with scholars based in United States, South Africa and Switzerland. Frequent co-authors include Marvin Wickens, Joseph D. Puglisi, Jinfan Wang, Rosslyn Grosely, Alex G. Johnson, Daniel Wilinski, I.S. Fernandez, Junhong Choi, Arjun Prabhakar and Zachary T. Campbell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal, Nature, Nucleic Acids Research and RNA.

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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