R M O'Hara
- Immunology top 5%
- Oncology top 10%
- Molecular Biology
- Physiology top 10%
- Hematology top 5%
- Co-authors
- Clive R. WoodKerry KelleherFrances BennettSteven C. ClarkDaniel WilliamsStephan PaulMary CollinsDavid R. Beier
- Topics
- Immune Cell Function and Interaction (11 papers)T-cell and B-cell Immunology (10 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of ImmunologyAnnals of the New York Academy of Sciences
- Partner nations
- United StatesHungaryItaly
In The Last Decade
R M O'Hara
24 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Immunology 885
- Oncology 336
- Molecular Biology 274
- Physiology 262
- Hematology 159
Countries citing papers authored by R M O'Hara
This map shows the geographic impact of R M O'Hara'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 R M O'Hara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R M O'Hara more than expected).
Fields of papers citing papers by R M O'Hara
This network shows the impact of papers produced by R M O'Hara. 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 R M O'Hara. The network helps show where R M O'Hara may publish in the future.
Co-authorship network of co-authors of R M O'Hara
This figure shows the co-authorship network connecting the top 25 collaborators of R M O'Hara. A scholar is included among the top collaborators of R M O'Hara 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 R M O'Hara. R M O'Hara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | The murine IL-13 receptor alpha 2: molecular cloning, characterization, and comparison with murine IL-13 receptor alpha 1. | 290 |
| 6 | 248 | |
| 7 | 71 | |
| 8 | 44 | |
| 9 | 7 | |
| 10 | 38 | |
| 11 | 18 | |
| 12 | 39 | |
| 13 | 43 | |
| 14 | Molecular cloning of a cDNA encoding interleukin 11, a stromal cell-derived lymphopoietic and hematopoietic cytokine.breakdown → | 535 |
| 15 | 24 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 41 |
About R M O'Hara
R M O'Hara is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Occupational Therapy, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Immunology (885 citations), Immunology and Allergy (105 citations) and Hematology (159 citations). R M O'Hara has collaborated with scholars based in United States, Hungary and Italy. Frequent co-authors include Clive R. Wood, Kerry Kelleher, Frances Bennett, Steven C. Clark, Daniel Williams, Stephan Paul, Mary Collins, David R. Beier, Katherine J. Turner and Debra D. Donaldson. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Annals of the New York Academy of Sciences.
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.