Diana S. Barritt

1.3k citations
18 papers · 872 indexed · h-index 14

Diana S. Barritt

18 papers receiving 853 citations

Peers

Diana S. Barritt
Comparison fields: 5 of 73
  • Microbiology 270
  • Immunology and Allergy 103
  • Developmental Neuroscience 50
  • Immunology 178
  • Cell Biology 134
Replace Jiřı́ Plachý with:
Jiřı́ Plachý Czechia
Susanne Alldinger Germany
Narcisa Martı́nez-Quiles Spain
Janice C. Telfer United States
Yosuke Kameoka Japan
Ana Alcaraz United States
Winfried G.J. Degen Netherlands
Akira Hakura Japan
Sybille L. Sauter United States
Kevin P. Rigley United Kingdom
Diana S. Barritt relative to Jiřı́ Plachý Czechia Jiřı́ Plachý's profile →
Citations per field
00.5×
Jiřı́ Plachý · 1×
Citations per year

Countries citing papers authored by Diana S. Barritt

Since Specialization
Citations

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

Fields of papers citing papers by Diana S. Barritt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diana S. Barritt. 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 Diana S. Barritt. The network helps show where Diana S. Barritt may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Diana S. Barritt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Diana S. Barritt Line = papers co-authored together Diana S. Barritt links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200620
2 200086
3 199978
4 1999136
5 199817
6 19975
7 199552
8 199357
9 19919
10 199116
11 1989166
12 198925
13 198895
14 198842
15 19874
16 198721
17 198740
18 19823

About Diana S. Barritt

Diana S. Barritt is a scholar working on Microbiology, Endocrinology, Immunology and Allergy, Immunology and Cell Biology, having authored 18 papers that have together received 872 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Reproductive tract infections research (2 papers), Immune Cell Function and Interaction (2 papers), Bacterial Genetics and Biotechnology (2 papers), Immune Response and Inflammation (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Microbiology (270 citations), Immunology and Allergy (103 citations), Developmental Neuroscience (50 citations), Immunology (178 citations) and Cell Biology (134 citations). Diana S. Barritt has collaborated with scholars based in United States. Frequent co-authors include Janne G. Cannon, William B. Stallcup, John W. Connell, George L. Murphy, Akiko Nishiyama, Michael Koomey, Kathryn A. Grako, Takahiro Ochiya, Thomas H. Kawula and Ingrid U. Schraufstätter. Their work appears in journals such as Infection and Immunity, Molecular Microbiology, Molecular Immunology, Journal of Cellular Biochemistry and Biotechnology and Bioengineering.

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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