Colin J. Daniel

1.7k citations
22 papers · 835 · h-index 14

Impact in

  • Oncology top 10%
    • Peptidase Inhibition and Analysis
    • Cancer-related Molecular Pathways
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • RNA modifications and cancer
    • PI3K/AKT/mTOR signaling in cancer
    • Epigenetics and DNA Methylation

Papers in

    • Ubiquitin and proteasome pathways 6
    • Protein Kinase Regulation and GTPase Signaling 3
    • Signaling Pathways in Disease 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Peptidase Inhibition and Analysis 4
    • Cancer-related Molecular Pathways 3
    • Pancreatic and Hepatic Oncology Research 3

Colin J. Daniel

21 papers receiving 831 citations

Peers

Colin J. Daniel
Comparison fields: 5 of 72
  • Oncology 270
  • Molecular Biology 670
  • Cancer Research 135
  • Cell Biology 58
  • Immunology 72
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Huiping Pei United States
Yabin Cheng China
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Shaokun Shu China
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Citations per field
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Citations per year

Countries citing papers authored by Colin J. Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Colin J. Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014150
2 2013104
3 200994
4 201488
5 201876
6 201166
7 201846
8 200937
9 201933
10 200831
11 201229
12 201127
13 201717
14 202015
15 20237
16 20215
17 20223
18 20133
19 20242
20 20211

About Colin J. Daniel

Colin J. Daniel is a scholar working on Molecular Biology, Oncology, Immunology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 835 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Peptidase Inhibition and Analysis (4 papers), Cancer-related Molecular Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Signaling Pathways in Disease (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Oncology (270 citations), Molecular Biology (670 citations), Cancer Research (135 citations), Cell Biology (58 citations) and Immunology (72 citations). Colin J. Daniel has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Rosalie C. Sears, Amy Farrell, Mahnaz Janghorban, Carl Pelz, Brittany L. Allen-Petersen, Dale J. Christensen, Ellen M. Langer, Yulong Su, Jessica Oddo and C. Morgan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, Journal of Biological Chemistry, Molecular Cancer Research and The EMBO Journal.

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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