Brian Webb

945 citations
25 papers · 701 · h-index 12

Impact in

    • Piperaceae Chemical and Biological Studies
    • Ginger and Zingiberaceae research
    • Long-Term Effects of COVID-19

Papers in

    • Monoclonal and Polyclonal Antibodies Research 7
    • Advanced Biosensing Techniques and Applications 11
    • Glycosylation and Glycoproteins Research 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Gene expression and cancer classification 2

Brian Webb

25 papers receiving 683 citations

Peers

Brian Webb
Comparison fields: 5 of 108
  • Pharmacology 82
  • Neurology 84
  • Molecular Biology 265
  • Critical Care and Intensive Care Medicine 16
  • Neurology 24
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Wenjun Jiang China
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Citations per field
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Citations per year

Countries citing papers authored by Brian Webb

Since Specialization
Citations

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

Fields of papers citing papers by Brian Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Webb. 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 Brian Webb. The network helps show where Brian Webb may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010132
2 2013104
3 202281
4 201369
5 201161
6 201344
7 201632
8 201228
9 201522
10
Antibody microarray analysis of inflammatory mediator release by human leukemia T-cells and human non small cell lung cancer cells.
200721
11 200620
12 202317
13 200210
14 200710
15 200710
16 20217
17 20046
18 20106
19 20065
20 20225

About Brian Webb

Brian Webb is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Neurology, Biomedical Engineering and Infectious Diseases, having authored 25 papers that have together received 701 indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (11 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (3 papers), COVID-19 Clinical Research Studies (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Gene expression and cancer classification (2 papers), Nanofabrication and Lithography Techniques (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Pharmacology (82 citations), Neurology (84 citations), Molecular Biology (265 citations), Critical Care and Intensive Care Medicine (16 citations) and Neurology (24 citations). Brian Webb has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Thomas J. McQuade, Lyra Chang, Jason E. Gestwicki, Douglas D. Fraser, Abhilash Kumble Samykutty, Gajalakshmi Dakshinamoorthy, Guoxing Zheng, Ramaswamy Kalyanasundaram, Gnanasekar Munirathinam and Aoshuang Chen. Their work appears in journals such as The FASEB Journal, Analytical Biochemistry, Free Radical Biology and Medicine, Critical Care and BioTechniques.

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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