Douglas O’Connell

1.3k citations
12 papers · 963 · 2 hit papers · h-index 11

Impact in

Papers in

Douglas O’Connell

12 papers receiving 958 citations

Hit Papers

Long noncoding RNA NEAT1 promotes ferroptosis by modulating the miR-362-3p/MIOX axis as a ceRNA 2022 · 159 citations
1590+2+5Years since publication100200300

Peers

Douglas O’Connell
Comparison fields: 5 of 72
  • Cancer Research 575
  • Pulmonary and Respiratory Medicine 450
  • Molecular Biology 684
  • Epidemiology 215
  • Physiology 22
Replace Qian Feng with:
Qian Feng China
Li Zhuang China
Shi‐Wei Huang Taiwan
Barbara Zunino France
Patrick Gonzalez France
Qiongfang Yu China
Shan Huang China
Yayun Gu China
Patryk Moskwa United States
Teresa Monkkonen United States
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Citations per field
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Citations per year

Countries citing papers authored by Douglas O’Connell

Since Specialization
Citations

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

Fields of papers citing papers by Douglas O’Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douglas O’Connell. 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 Douglas O’Connell. The network helps show where Douglas O’Connell may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
miR-137 regulates ferroptosis by targeting glutamine transporter SLC1A5 in melanoma
Hit paper breakdown →
2018371
2
Long noncoding RNA NEAT1 promotes ferroptosis by modulating the miR-362-3p/MIOX axis as a ceRNA
Hit paper breakdown →
2022159
3 2018144
4 201571
5 201650
6 201632
7 201730
8 201430
9 201828
10 201925
11 201414
12 20139

About Douglas O’Connell

Douglas O’Connell is a scholar working on Epidemiology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Genetics, having authored 12 papers that have together received 963 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), RNA modifications and cancer (3 papers), Ferroptosis and cancer prognosis (3 papers), Cancer-related molecular mechanisms research (3 papers), Virus-based gene therapy research (2 papers), Cellular transport and secretion (2 papers), Mosquito-borne diseases and control (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cancer Research (575 citations), Pulmonary and Respiratory Medicine (450 citations), Molecular Biology (684 citations), Epidemiology (215 citations) and Physiology (22 citations). Douglas O’Connell has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Yongfei Yang, Meiying Luo, Kexin Zhang, Long‐Fei Wu, Tongtong Gao, Chengyu Liang, Tian Zhang, Wenyan Ren, Xiaohong Cui and Ying Zhang. Their work appears in journals such as Autophagy, Molecular Carcinogenesis, Cell Death and Differentiation, Digestive Diseases and Sciences and Nature 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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