Dennis A. Simpson

1.9k citations
46 papers · 1.3k indexed · h-index 23

Impact in

    • Carcinogens and Genotoxicity Assessment
  • Oncology top 10%
    • Cancer-related Molecular Pathways

Papers in

    • Cancer-related Molecular Pathways 18
    • PARP inhibition in cancer therapy 5
    • Carcinogens and Genotoxicity Assessment 7
    • Cancer Genomics and Diagnostics 5

Dennis A. Simpson

44 papers receiving 1.3k citations

Peers

Dennis A. Simpson
Comparison fields: 5 of 91
  • Cancer Research 258
  • Oncology 425
  • Molecular Biology 960
  • Cell Biology 169
  • Aging 14
Replace Felipe Cortés‐Ledesma with:
Felipe Cortés‐Ledesma Spain
Sheng‐Hao Chao Singapore
Antonio E. Vidal Spain
Zheng Hu China
Marek Rusin Poland
Karen Crasta Singapore
Boan Li China
Ohad Shifman Israel
Hiroyuki Sasanuma Japan
Aparna V. Sarthy United States
Dennis A. Simpson relative to Felipe Cortés‐Ledesma Spain Felipe Cortés‐Ledesma's profile →
Citations per field
00.5×
Felipe Cortés‐Ledesma · 1×
Citations per year

Countries citing papers authored by Dennis A. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Dennis A. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dennis A. Simpson. 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 Dennis A. Simpson. The network helps show where Dennis A. Simpson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202312
2 202121
3 202114
4 202024
5 202022
6 2019110
7 201748
8 201312
9 201127
10 20091
11 200713
12 200752
13 200756
14 200612
15 200639
16 200550
17 200516
18 199650
19 198942
20 198844

About Dennis A. Simpson

Dennis A. Simpson is a scholar working on Oncology, Cancer Research, Molecular Biology, Cell Biology and Biophysics, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (29 papers), Cancer-related Molecular Pathways (18 papers), Carcinogens and Genotoxicity Assessment (7 papers), Genomics and Chromatin Dynamics (7 papers), Microtubule and mitosis dynamics (6 papers), Cancer Genomics and Diagnostics (5 papers), PARP inhibition in cancer therapy (5 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Cancer Research (258 citations), Oncology (425 citations), Molecular Biology (960 citations), Cell Biology (169 citations) and Aging (14 citations). Dennis A. Simpson has collaborated with scholars based in United States, Germany and China. Frequent co-authors include William K. Kaufmann, Marila Cordeiro‐Stone, Richard S. Paules, Robert E. Johnston, Timothy P. Heffernan, Alexandra N. Heinloth, Mark T. Heise, T R Skopek, Renae M. Crosby and Gaorav P. Gupta. Their work appears in journals such as Cell Cycle, Journal of Virology, Nature Communications, Pigment Cell & Melanoma Research and Biochemical and Biophysical Research Communications.

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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