Nathan D. Camp

1.7k citations
23 papers · 1.1k · h-index 15

Impact in

    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • Genomics, phytochemicals, and oxidative stress
    • Renal and related cancers
    • RNA modifications and cancer
    • Ubiquitin and proteasome pathways

Papers in

Nathan D. Camp

21 papers receiving 1.1k citations

Peers

Nathan D. Camp
Comparison fields: 5 of 84
  • Molecular Biology 882
  • Oncology 139
  • Cell Biology 90
  • Immunology 90
  • Cellular and Molecular Neuroscience 64
Replace Weihua Tian with:
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Ján Strnádel Slovakia
Serge Grégoire Canada
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Citations per field
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Citations per year

Countries citing papers authored by Nathan D. Camp

Since Specialization
Citations

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

Fields of papers citing papers by Nathan D. Camp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan D. Camp. 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 Nathan D. Camp. The network helps show where Nathan D. Camp may publish in the future.

Co-authors

The 25 scholars most cited alongside Nathan D. Camp, 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 Nathan D. Camp Line = papers co-authored together Nathan D. Camp 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 2007311
2 2013135
3 2007110
4 2012108
5 202192
6 201276
7 201757
8 201052
9 200944
10 202233
11 201824
12 201622
13 202121
14 201618
15 201514
16 20169
17 20196
18 20215
19 20245
20 20193

About Nathan D. Camp

Nathan D. Camp is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Cell Biology and Surgery, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related gene regulation (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Receptor Mechanisms and Signaling (3 papers), CAR-T cell therapy research (2 papers), RNA Research and Splicing (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Molecular Biology (882 citations), Oncology (139 citations), Cell Biology (90 citations), Immunology (90 citations) and Cellular and Molecular Neuroscience (64 citations). Nathan D. Camp has collaborated with scholars based in United States, China and Cuba. Frequent co-authors include Randall T. Moon, Michael B. Major, Richard G. James, Travis L. Biechele, Alejandro Wolf‐Yadlin, Ning Zheng, Xianhua Yi, Michael J. MacCoss, Stéphane Angers and Jason D. Berndt. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Molecular Cell, Cell Reports and Pharmacological 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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