Mary Ann Robinson

3.4k citations
118 papers · 2.8k indexed · h-index 28
Topics
T-cell and B-cell Immunology (33 papers)Immune Cell Function and Interaction (31 papers)Veterinary Equine Medical Research (18 papers)

In The Last Decade

Mary Ann Robinson

107 papers receiving 2.7k citations

Peers

Mary Ann Robinson
Comparison fields: 5 of 142
  • Immunology 1.7k
  • Molecular Biology 662
  • Genetics 323
  • Oncology 301
  • Radiology, Nuclear Medicine and Imaging 298
Replace Andrew I. Webb with:
Andrew I. Webb Australia
G.P. Talwar India
Hideharu Taira Japan
María A. Álava Spain
David L. Boone United States
Shawn J. Green United States
Hiroshi Uchida Japan
Paul E. Baker United States
Elio Ziparo Italy
David Sutton United Kingdom
Mary Ann Robinson relative to Andrew I. Webb Australia Andrew I. Webb's profile →
Citations per field
00.5×2.7×
Andrew I. Webb · 1×
Citations per year

Countries citing papers authored by Mary Ann Robinson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Mary Ann Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Ann Robinson. A scholar is included among the top collaborators of Mary Ann Robinson 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 Mary Ann Robinson. Mary Ann Robinson 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
#WorkIndexed citations
1 0
2 1
3 3
4 7
5 13
6 8
7 69
8
Réseaux d’archives institutionnelles en Europe : logiques de développement et convergences
2
9 14
10 76
11
No Barriers to Service: Librarians with Disabilities.
2
12 10
13 10
14 69
15 29
16 35
17 82
18 5
19 40
20 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) and Veterinary Equine Medical Research (18 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.

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