Diane E. Webster

874 citations
28 papers · 689 · h-index 15

Impact in

Papers in

Diane E. Webster

28 papers receiving 652 citations

Peers

Diane E. Webster
Comparison fields: 5 of 88
  • Biotechnology 257
  • Clinical Biochemistry 136
  • Virology 39
  • Endocrinology 34
  • Endocrinology, Diabetes and Metabolism 107
Replace Geoffrey D. Hannigan with:
Geoffrey D. Hannigan United States
Liliana M. Massis Brazil
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Ahmed M. Moustafa United States
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Jari Intra Italy
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Frans A.G. Reubsaet Netherlands
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Diane E. Webster relative to Geoffrey D. Hannigan United States Geoffrey D. Hannigan's profile →
Citations per field
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Geoffrey D. Hannigan · 1×
Citations per year

Countries citing papers authored by Diane E. Webster

Since Specialization
Citations

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

Fields of papers citing papers by Diane E. Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011127
2 201067
3 201163
4 200260
5 200936
6 198733
7 200530
8 200729
9 200627
10 201125
11 200924
12 200423
13 201117
14 200516
15 200814
16 201113
17 200313
18 199612
19 200311
20 19998

About Diane E. Webster

Diane E. Webster is a scholar working on Biotechnology, Molecular Biology, Plant Science, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 28 papers that have together received 689 indexed citations. Recurring topics across this work include Transgenic Plants and Applications (13 papers), Plant Virus Research Studies (9 papers), Viral gastroenteritis research and epidemiology (5 papers), Plant tissue culture and regeneration (5 papers), CRISPR and Genetic Engineering (4 papers), Mosquito-borne diseases and control (4 papers), Plant and Fungal Interactions Research (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Biotechnology (257 citations), Clinical Biochemistry (136 citations), Virology (39 citations), Endocrinology (34 citations) and Endocrinology, Diabetes and Metabolism (107 citations). Diane E. Webster has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Steve Wesselingh, Merlin C. Thomas, Richard A. Strugnell, Michelle E. Gahan, Ian B. Dry, Ross L. Coppel, Melinda T. Coughlan, R. J. Pickering, Josephine M. Forbes and Alison E. Campbell. Their work appears in journals such as Vaccine, Archives of Virology, Biotechnology Letters, Journal of Virology and Diabetes.

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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