Paul Dent

29.1k citations
388 papers · 23.1k indexed · 4 hit papers · h-index 81
  • Oncology top 0.2%
    • Cancer-related Molecular Pathways 52
    • Cell death mechanisms and regulation 75
    • Histone Deacetylase Inhibitors Research 62
    • Melanoma and MAPK Pathways 49
    • Protein Kinase Regulation and GTPase Signaling 45
    • PI3K/AKT/mTOR signaling in cancer 34
  • Cell Biology top 0.2%
    • Endoplasmic Reticulum Stress and Disease 37
  • Hematology top 0.5%
    • Autophagy in Disease and Therapy 55

Paul Dent

387 papers receiving 22.8k citations

Hit Papers

Bile acids as regulatory molecules5621992202620032014250500750

Peers

Paul Dent
Comparison fields: 5 of 153
  • Oncology 7.0k
  • Molecular Biology 15.6k
  • Cell Biology 2.8k
  • Cancer Research 2.4k
  • Hematology 1.6k
Replace Steven Grant with:
Steven Grant United States
David J. McConkey United States
James A. McCubrey United States
Nissim Hay United States
Takashi Tsuruo Japan
John L. Cleveland United States
Robert T. Abraham United States
Brett P. Monia United States
David C.S. Huang Australia
Brendan D. Manning United States
Paul Dent relative to Steven Grant United States Steven Grant's profile →
Citations per field
00.5×1.5×
Steven Grant · 1×
Citations per year

Countries citing papers authored by Paul Dent

Since Specialization
Citations

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

Fields of papers citing papers by Paul Dent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Dent. 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 Paul Dent. The network helps show where Paul Dent may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 201633
3 201246
4 201279
5 201197
6 2011101
7 201086
8 201074
9 2010102
10 201089
11 201016
12 2009154
13 200940
14 2008101
15 200841
16 200868
17 2007145
18 2007132
19 200579
20 199944

About Paul Dent

Paul Dent is a scholar working on Oncology, Molecular Biology and Cell Biology, having authored 388 papers that have together received 23.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (75 papers), Histone Deacetylase Inhibitors Research (62 papers), Autophagy in Disease and Therapy (55 papers), Cancer-related Molecular Pathways (52 papers), Melanoma and MAPK Pathways (49 papers), Protein Kinase Regulation and GTPase Signaling (45 papers), Endoplasmic Reticulum Stress and Disease (37 papers) and PI3K/AKT/mTOR signaling in cancer (34 papers). The work is most often cited by research in Oncology (7.0k citations), Molecular Biology (15.6k citations) and Cell Biology (2.8k citations). Paul Dent has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Steven Grant, Mohamed Rahmani, Paul B. Fisher, Thomas W. Sturgill, Adly Yacoub, Yun Dai, Kristoffer Valerie, Laurence Booth, Rupert Schmidt‐Ullrich and Michael P. Hagan. Their work appears in journals such as Cancer Biology & Therapy, Molecular Pharmacology, Blood, Molecular Cancer Therapeutics and Oncogene.

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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