Christopher J. Shoemaker

5.0k citations
23 papers · 1.8k indexed · h-index 14

Impact in

    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering
    • Ubiquitin and proteasome pathways
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion

Papers in

Christopher J. Shoemaker

22 papers receiving 1.8k citations

Peers

Christopher J. Shoemaker
Comparison fields: 5 of 90
  • Molecular Biology 1.4k
  • Cell Biology 298
  • Physiology 77
  • Epidemiology 427
  • Aging 12
Replace Samuel Connell with:
Samuel Connell United States
Bruno Guhl Switzerland
Ellen J. Tisdale United States
Chad D. Williamson United States
Jean‐Pierre Paccaud Switzerland
Voahirana Camosseto France
Stefanie Jäger United States
Sagar Bhogaraju Germany
Elsa-Noah N’Diaye France
Christophe Macri Australia
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Citations per field
00.5×
Samuel Connell · 1×
Citations per year

Countries citing papers authored by Christopher J. Shoemaker

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Shoemaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20247
5 20239
6 202090
7 2019211
8 2019105
9 20182
10 201595
11 20154
12 201388
13 2012286
14 2012186
15 2010251
16 200929
17 200990
18 200983
19 200729
20 200617

About Christopher J. Shoemaker

Christopher J. Shoemaker is a scholar working on Physiology, Periodontics, Parasitology, Epidemiology and Molecular Biology, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (9 papers), RNA modifications and cancer (6 papers), RNA and protein synthesis mechanisms (6 papers), RNA Research and Splicing (5 papers), Bacterial Genetics and Biotechnology (3 papers), Calcium signaling and nucleotide metabolism (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Cell Biology (298 citations), Physiology (77 citations), Epidemiology (427 citations) and Aging (12 citations). Christopher J. Shoemaker has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Rachel Green, Vladimir Denic, Daniel E. Eyler, J. Wade Harper, Heeseon An, Alban Ordureau, João A. Paulo, Roarke A. Kamber, Sebastian W. Schultz and T.Q. Huang. Their work appears in journals such as The Journal of Cell Biology, Autophagy, Molecular Cell, The EMBO Journal and BioMetals.

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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