J.L. Schipper

523 citations
12 papers · 391 · h-index 9

Impact in

    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • Cell death mechanisms and regulation
    • Inflammasome and immune disorders
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering
    • Protein Degradation and Inhibitors

Papers in

    • Genomics and Chromatin Dynamics 5
    • Cell death mechanisms and regulation 3
    • RNA Research and Splicing 3
    • Protein Structure and Dynamics 2
    • CRISPR and Genetic Engineering 2

J.L. Schipper

11 papers receiving 391 citations

Peers

J.L. Schipper
Comparison fields: 5 of 64
  • Molecular Biology 328
  • Cell Biology 39
  • Toxicology 8
  • Immunology 34
  • Biological Psychiatry 4
Replace Elizabeth D. Nguyen with:
Elizabeth D. Nguyen United States
Kristoffer Brandvold United States
Suzanne M. Lapolla United States
Aftabul Haque United States
Masashi Hiramoto Japan
Chido Mpamhanga United Kingdom
Angqi Zhu China
Jasmeen Oberoi United Kingdom
Tai-Shan Cheng Taiwan
Xiao Ge China
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Citations per field
00.5×3.3×
Elizabeth D. Nguyen · 1×
Citations per year

Countries citing papers authored by J.L. Schipper

Since Specialization
Citations

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

Fields of papers citing papers by J.L. Schipper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.L. Schipper. 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 J.L. Schipper. The network helps show where J.L. Schipper may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
The potential for caspases in drug discovery.
201088
2 201485
3 201459
4 201639
5 201833
6 201726
7 201223
8 201119
9 201314
10 20243
11 20162
12 20140

About J.L. Schipper

J.L. Schipper is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Neurology and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 391 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Cell death mechanisms and regulation (3 papers), RNA Research and Splicing (3 papers), Protein Structure and Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers), Autophagy in Disease and Therapy (2 papers), Macrophage Migration Inhibitory Factor (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Molecular Biology (328 citations), Cell Biology (39 citations), Toxicology (8 citations), Immunology (34 citations) and Biological Psychiatry (4 citations). J.L. Schipper has collaborated with scholars based in United States and Israel. Frequent co-authors include Sarah Mackenzie, A. Clay Clark, Raluca Gordân, J.R. Horton, Ariel Afek, David B. Lukatsky, Paul Swartz, A. Clay Clark, Kyle A. Nilson and Francis K. Fordjour. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioscience Reports, Genome biology, Biophysical Chemistry and Cell Systems.

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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