Mary Ann Robinson
- Immunology top 1%
- T-cell and B-cell Immunology 33
- Immune Cell Function and Interaction 31
- T-cell and Retrovirus Studies 11
- Equine top 2%
- Veterinary Equine Medical Research 18
- Agronomy and Crop Science top 5%
- Virology top 10%
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- Monoclonal and Polyclonal Antibodies Research 8
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- Hormonal and reproductive studies 13
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- Veterinary Pharmacology and Anesthesia 9
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- CAR-T cell therapy research 8
- Co-authors
- Thomas J. KindtPatrick ConcannonWei ShanJeffrey R. CurrierTongmao ZhaoStephen L. HauserEric SebounPatrick Charmley
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (7 papers)The Journal of Experimental Medicine (6 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Mary Ann Robinson
107 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 142
- Immunology 1.7k
- Equine 58
- Agronomy and Crop Science 145
- Virology 66
- Radiology, Nuclear Medicine and Imaging 298
Countries citing papers authored by Mary Ann Robinson
This map shows the geographic impact of Mary Ann Robinson'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 Mary Ann Robinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Ann Robinson more than expected).
Fields of papers citing papers by Mary Ann Robinson
This network shows the impact of papers produced by Mary Ann Robinson. 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 Mary Ann Robinson. The network helps show where Mary Ann Robinson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mary Ann Robinson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 7 | |
| 5 | 2020 | 13 | |
| 6 | 2017 | 8 | |
| 7 | 2011 | 69 | |
| 8 | Réseaux d’archives institutionnelles en Europe : logiques de développement et convergences | 2008 | 2 |
| 9 | 2000 | 14 | |
| 10 | 1999 | 76 | |
| 11 | No Barriers to Service: Librarians with Disabilities. | 1998 | 2 |
| 12 | 1996 | 10 | |
| 13 | 1995 | 10 | |
| 14 | 1994 | 69 | |
| 15 | 1994 | 29 | |
| 16 | 1993 | 35 | |
| 17 | 1990 | 82 | |
| 18 | 1988 | 5 | |
| 19 | 1988 | 40 | |
| 20 | 1984 | 23 |
About Mary Ann Robinson
Mary Ann Robinson is a scholar working on Equine, Immunology and Toxicology, having authored 118 papers that have together received 2.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (33 papers), Immune Cell Function and Interaction (31 papers), Veterinary Equine Medical Research (18 papers), Hormonal and reproductive studies (13 papers), T-cell and Retrovirus Studies (11 papers), Veterinary Pharmacology and Anesthesia (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and CAR-T cell therapy research (8 papers). The work is most often cited by research in Immunology (1.7k citations), Equine (58 citations) and Agronomy and Crop Science (145 citations). Mary Ann Robinson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Thomas J. Kindt, Patrick Concannon, Wei Shan, Jeffrey R. Currier, Tongmao Zhao, Stephen L. Hauser, Eric Seboun, Patrick Charmley, Thomas A. Ciulla and Mei Han. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.