Bridget E. Barber

4.7k citations
93 papers · 2.6k indexed · h-index 27

Impact in

Papers in

Bridget E. Barber

87 papers receiving 2.6k citations

Peers

Bridget E. Barber
Comparison fields: 5 of 115
  • Parasitology 740
  • Public Health, Environmental and Occupational Health 2.2k
  • Pharmacology 143
  • Infectious Diseases 293
  • Immunology 334
Replace Matthew J. Grigg with:
Matthew J. Grigg Australia
Kim A. Piera Australia
Maryvonne Kombila Gabon
Noppadon Tangpukdee Thailand
Leanne J. Robinson Australia
Julie Gutman United States
Jeanne Rini Poespoprodjo Indonesia
Martin Danis France
Anna Rosanas‐Urgell Belgium
Jutta Marfurt Australia
Bridget E. Barber relative to Matthew J. Grigg Australia Matthew J. Grigg's profile →
Citations per field
00.5×1.5×
Matthew J. Grigg · 1×
Citations per year

Countries citing papers authored by Bridget E. Barber

Since Specialization
Citations

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

Fields of papers citing papers by Bridget E. Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bridget E. Barber. 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 Bridget E. Barber. The network helps show where Bridget E. Barber may publish in the future.

Co-authors

The 25 scholars most cited alongside Bridget E. Barber, 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 Bridget E. Barber Line = papers co-authored together Bridget E. Barber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012199
2 2013131
3 2015115
4 2013111
5 2014111
6 2017103
7 201995
8 201785
9 201885
10 201278
11 201176
12 201274
13 201873
14 201370
15 201956
16 201554
17 201550
18 201849
19 201345
20 201445

About Bridget E. Barber

Bridget E. Barber is a scholar working on Parasitology, Public Health, Environmental and Occupational Health, Pharmacology, Immunology and Genetics, having authored 93 papers that have together received 2.6k indexed citations. Recurring topics across this work include Malaria Research and Control (75 papers), Mosquito-borne diseases and control (52 papers), Vector-borne infectious diseases (19 papers), Drug-Induced Hepatotoxicity and Protection (14 papers), Complement system in diseases (9 papers), Computational Drug Discovery Methods (7 papers), Hemoglobinopathies and Related Disorders (6 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Parasitology (740 citations), Public Health, Environmental and Occupational Health (2.2k citations), Pharmacology (143 citations), Infectious Diseases (293 citations) and Immunology (334 citations). Bridget E. Barber has collaborated with scholars based in Australia, Malaysia and United Kingdom. Frequent co-authors include Nicholas M. Anstey, Timothy William, Matthew J. Grigg, Tsin Wen Yeo, Jayaram Menon, Giri Shan Rajahram, Kim A. Piera, Jenarun Jelip, Sarah Auburn and Ric N. Price. Their work appears in journals such as Malaria Journal, Clinical Infectious Diseases, Scientific Reports, The Journal of Infectious Diseases and American Journal of Tropical Medicine and Hygiene.

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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