A N Brown

527 citations
7 papers · 448 indexed · h-index 7

Impact in

    • Transgenic Plants and Applications
    • Microbial Inactivation Methods
  • Immunology top 10%
    • Toxin Mechanisms and Immunotoxins

Papers in

A N Brown

7 papers receiving 418 citations

Peers

A N Brown
Comparison fields: 5 of 53
  • Biotechnology 240
  • Immunology 342
  • Radiology, Nuclear Medicine and Imaging 133
  • Toxicology 13
  • Molecular Biology 183
Replace O. Valiente with:
O. Valiente Cuba
Leslie A. Rivera Rosado United States
Geraldine V. Vijay United States
Ernst Meinjohanns Denmark
Reinhard Zeitler Germany
Su-Il Do South Korea
Khushi L. Matta United States
Dmitry Genkin Russia
Deborah L. Trainer United States
Laura Hutchins United States
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Citations per field
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Citations per year

Countries citing papers authored by A N Brown

Since Specialization
Citations

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

Fields of papers citing papers by A N Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A N Brown. 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 A N Brown. The network helps show where A N Brown may publish in the future.

Co-authorship network

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

All Works

7 of 7 papers shown
#Work
1 198814
2
Evaluation of ricin A chain-containing immunotoxins directed against CD19 and CD22 antigens on normal and malignant human B-cells as potential reagents for in vivo therapy.
1988107
3
Improved antitumor effects of immunotoxins prepared with deglycosylated ricin A-chain and hindered disulfide linkages.
1988137
4 198740
5 198567
6 19829
7 198274

About A N Brown

A N Brown is a scholar working on Biotechnology, Immunology, Toxicology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 7 papers that have together received 448 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (7 papers), Transgenic Plants and Applications (6 papers), Plant tissue culture and regeneration (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Bioactive Compounds and Antitumor Agents (1 paper), Polyamine Metabolism and Applications (1 paper) and Plant Virus Research Studies (1 paper). The work is most often cited by research in Biotechnology (240 citations), Immunology (342 citations), Radiology, Nuclear Medicine and Imaging (133 citations), Toxicology (13 citations) and Molecular Biology (183 citations). A N Brown has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include P E Thorpe, P.P. Knowles, Philip M. Wallace, G Watson, D C Blakey, David R. Newell, W. C. J. Ross, A.J. Cumber, J W Uhr and Mark Till. Their work appears in journals such as British Journal of Cancer, Nature, JNCI Journal of the National Cancer Institute, Journal of Biological Chemistry and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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