Niamh O’Neill

8.8k citations
14 papers · 4.8k indexed · 1 hit paper · h-index 10
Topics
Spectroscopy and Quantum Chemical Studies (3 papers)Machine Learning in Materials Science (3 papers)COVID-19 Clinical Research Studies (3 papers)

In The Last Decade

Niamh O’Neill

12 papers receiving 4.7k citations

Hit Papers

World Health Organization declares global emergency: A re...2020202620222024202010002.0k3.0k4.0k

Peers

Niamh O’Neill
Comparison fields: 5 of 200
  • Infectious Diseases 1.3k
  • Clinical Psychology 880
  • Modeling and Simulation 751
  • Oncology 728
  • Economics and Econometrics 684
Replace Mehdi Khan with:
Mehdi Khan United Kingdom
Christos Iosifidis United Kingdom
Zaid Alsafi United Kingdom
Ahmed Al‐Jabir United Kingdom
Fei Tian China
Elisabeth Mahase United Kingdom
Maurizio Vanelli Italy
Maliha Agha United Kingdom
The Lancet South Africa
Talha Burki United Kingdom
Niamh O’Neill relative to Mehdi Khan United Kingdom Mehdi Khan's profile →
Citations per field
00.5×1.5×
Mehdi Khan · 1×
Citations per year

Countries citing papers authored by Niamh O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Niamh O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niamh O’Neill

This figure shows the co-authorship network connecting the top 25 collaborators of Niamh O’Neill. A scholar is included among the top collaborators of Niamh O’Neill based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Niamh O’Neill. Niamh O’Neill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 0
3 25
4 5
5 19
6 15
7 2
8 158
9 155
10 265
11 160
12 15
13
World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19)breakdown →
4004
14 19

About Niamh O’Neill

Niamh O’Neill is a scholar working on Electrochemistry, Infectious Diseases and Statistics and Probability, having authored 14 papers that have together received 4.8k indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (3 papers), Machine Learning in Materials Science (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Modeling and Simulation (751 citations), General Dentistry (182 citations) and Infectious Diseases (1.3k citations). Niamh O’Neill has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Riaz Agha, Catrin Sohrabi, Mehdi Khan, Zaid Alsafi, Ahmed Al‐Jabir, Ahmed Kerwan, Christos Iosifidis, Maria Nicola, Maliha Agha and Michelle Griffin. Their work appears in journals such as Journal of Clinical Oncology, Nano Letters and Physical Chemistry Chemical Physics.

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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