Nicolas Gordon

704 citations
15 papers · 375 · h-index 7

Impact in

Papers in

    • PARP inhibition in cancer therapy 11
    • Cancer-related Molecular Pathways 1
    • DNA Repair Mechanisms 3
    • Protein Degradation and Inhibitors 1
    • Angiogenesis and VEGF in Cancer 1

Nicolas Gordon

15 papers receiving 368 citations

Peers

Nicolas Gordon
Comparison fields: 5 of 70
  • Reproductive Medicine 97
  • Oncology 230
  • Endocrine and Autonomic Systems 56
  • Aging 12
  • Genetics 87
Replace Jon Greenberg with:
Jon Greenberg Germany
Pravin Nahar Australia
Daijiro Sugiyama Japan
Anne‐Louise Gannon Australia
Yuqian Wang China
Behzad M. Toosi Canada
Koji Okuhara Japan
Xueling Jin China
Teresa Olbrich United States
Nicolas Gordon relative to Jon Greenberg Germany Jon Greenberg's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nicolas Gordon

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2014145
2 202179
3 201647
4 201735
5 197831
6 201513
7 20199
8 20144
9 20143
10 20153
11 20172
12 20191
13 20161
14 20141
15 20151

About Nicolas Gordon

Nicolas Gordon is a scholar working on Oncology, Molecular Biology, Reproductive Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 375 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (11 papers), Ovarian cancer diagnosis and treatment (6 papers), BRCA gene mutations in cancer (4 papers), DNA Repair Mechanisms (3 papers), Protein Degradation and Inhibitors (1 paper), Prostate Cancer Treatment and Research (1 paper), Cancer-related Molecular Pathways (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Reproductive Medicine (97 citations), Oncology (230 citations), Endocrine and Autonomic Systems (56 citations), Aging (12 citations) and Genetics (87 citations). Nicolas Gordon has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Elise C. Kohn, Minshu Yu, Jung Min Lee, Christina M. Annunziata, Tristan M. Sissung, Lori M. Minasian, William D. Figg, John L. Hays, James H. Doroshow and Jiuping Ji. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Oncotarget, Clinical Cancer Research and JNCI Journal of the National Cancer Institute.

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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