D. Paul Harkin

5.3k citations
64 papers · 3.7k indexed · h-index 35

Impact in

  • Oncology top 2%
    • Cancer-related Molecular Pathways
    • PARP inhibition in cancer therapy
    • Cancer Genomics and Diagnostics

Papers in

    • BRCA gene mutations in cancer 25
    • Cancer-related Molecular Pathways 6

D. Paul Harkin

63 papers receiving 3.6k citations

Peers

D. Paul Harkin
Comparison fields: 5 of 111
  • Oncology 1.5k
  • Cancer Research 737
  • Molecular Biology 2.6k
  • Genetics 892
  • Reproductive Medicine 215
Replace Dieter Niederacher with:
Dieter Niederacher Germany
Paul Haluska United States
Hans Neubauer Germany
Diane L. Persons United States
Lambert C. J. Dorssers Netherlands
Hans Morreau Netherlands
E. Aubrey Thompson United States
Yusuke Nakamura Japan
Elisabeth Müller‐Holzner Austria
Guang Peng United States
D. Paul Harkin relative to Dieter Niederacher Germany Dieter Niederacher's profile →
Citations per field
00.5×1.7×
Dieter Niederacher · 1×
Citations per year

Countries citing papers authored by D. Paul Harkin

Since Specialization
Citations

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

Fields of papers citing papers by D. Paul Harkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20183
2 201777
3 201635
4 2016341
5 201564
6 20148
7 20149
8 201344
9 201134
10 201129
11 201152
12 201060
13 200967
14 200818
15 200571
16 200546
17
BRCA1 regulates the interferon gamma-mediated apoptotic response.
20032
18 200288
19 2001127
20 1999480

About D. Paul Harkin

D. Paul Harkin is a scholar working on Genetics, Oncology, Molecular Biology, Cancer Research and Reproductive Medicine, having authored 64 papers that have together received 3.7k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (25 papers), CRISPR and Genetic Engineering (20 papers), DNA Repair Mechanisms (17 papers), Gene expression and cancer classification (8 papers), Cancer Genomics and Diagnostics (7 papers), Cancer-related Molecular Pathways (6 papers), Genomics and Chromatin Dynamics (5 papers) and Ovarian cancer diagnosis and treatment (5 papers). The work is most often cited by research in Oncology (1.5k citations), Cancer Research (737 citations), Molecular Biology (2.6k citations), Genetics (892 citations) and Reproductive Medicine (215 citations). D. Paul Harkin has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Paul B. Mullan, Richard D. Kennedy, Jennifer E. Quinn, Kienan I. Savage, Patrick G. Johnston, Julia J. Gorski, Niamh E. Buckley, Daniel A. Haber, Shyamala Maheswaran and Young‐Han Song. Their work appears in journals such as Cancer Research, Oncogene, Nucleic Acids Research, Journal of Clinical Oncology and Biochemical Society Transactions.

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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