Helen C. O’Neill

2.7k total citations
123 papers, 2.2k citations indexed

About

Helen C. O’Neill is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Helen C. O’Neill has authored 123 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Immunology, 32 papers in Molecular Biology and 23 papers in Hematology. Recurrent topics in Helen C. O’Neill's work include Immunotherapy and Immune Responses (70 papers), T-cell and B-cell Immunology (61 papers) and Immune Cell Function and Interaction (42 papers). Helen C. O’Neill is often cited by papers focused on Immunotherapy and Immune Responses (70 papers), T-cell and B-cell Immunology (61 papers) and Immune Cell Function and Interaction (42 papers). Helen C. O’Neill collaborates with scholars based in Australia, Singapore and United States. Helen C. O’Neill's co-authors include Ben Quah, Keping Ni, Heather L. Wilson, Geneviève Despars, R. V. Blanden, Kristin Griffiths, Christopher R. Parish, Brendan Moran, Irving L. Weissman and Terence J. O’Neill and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Helen C. O’Neill

115 papers receiving 2.2k citations

Peers

Helen C. O’Neill
Comparison fields: 5 of 110
  • Immunology 1.3k
  • Molecular Biology 699
  • Hematology 359
  • Oncology 246
  • Cancer Research 174
Replace T Otsuka with:
T Otsuka Japan
MA Vadas Australia
M K Warren United States
Yuichi Hirata Japan
S Gillis United States
Patricia A. Temple United States
S C Clark United States
S Shirakawa Japan
D Y Mochizuki Canada
Anke Peters Germany
T Otsuka Japan View profile →
Citations per field, relative to Helen C. O’Neill
Helen C. O’Neill · 1×
Citations per year, relative to Helen C. O’Neill
Helen C. O’Neill · 1×

Countries citing papers authored by Helen C. O’Neill

Since Specialization
Citations

This map shows the geographic impact of Helen C. 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 Helen C. 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 Helen C. O’Neill more than expected).

Fields of papers citing papers by Helen C. O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen C. O’Neill

This figure shows the co-authorship network connecting the top 25 collaborators of Helen C. O’Neill. A scholar is included among the top collaborators of Helen C. 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 Helen C. O’Neill. Helen C. O’Neill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 14
3 31
4 9
5 4
6 21
7 5
8 7
9 7
10 5
11
Novel splenic antigen presenting cell derive from a Lin-ckitlo progenitor
1
12 19
13
Identification of a novel antigen cross-presenting cell in spleen: a counterpart to cells produced in long-term culture
1
14 1
15 9
16 44
17 12
18 9
19 1
20 24

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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