Ruth Arnon

14.0k citations
283 papers · 10.9k · h-index 59

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 27
    • Immunotherapy and Immune Responses 40
    • Immune Cell Function and Interaction 20
    • T-cell and B-cell Immunology 18

Ruth Arnon

280 papers receiving 10.1k citations

Peers

Ruth Arnon
Comparison fields: 5 of 148
  • Immunology 3.7k
  • Pathology and Forensic Medicine 2.7k
  • Developmental Neuroscience 416
  • Neurology 789
  • Radiology, Nuclear Medicine and Imaging 2.0k
Replace Larry R. Pease with:
Larry R. Pease United States
Michel Aguet Switzerland
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Hugh Rosen United States
Yoshiharu Matsuura Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ruth Arnon

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Arnon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 283 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987343
2 1971341
3 1997223
4 1986207
5
The covalent binding of daunomycin and adriamycin to antibodies, with retention of both drug and antibody activities.
1975206
6 2003190
7 2000183
8 1999157
9 2004153
10 2004131
11 1982130
12 1971124
13 2005123
14
Defect of human growth hormone receptors in the liver of two patients with Laron-type dwarfism.
1984119
15 1991119
16 2001106
17 1978104
18 1973103
19 1976101
20 197499

About Ruth Arnon

Ruth Arnon is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Epidemiology, having authored 283 papers that have together received 10.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (79 papers), Immunotherapy and Immune Responses (40 papers), Multiple Sclerosis Research Studies (38 papers), Parasites and Host Interactions (29 papers), Glycosylation and Glycoproteins Research (27 papers), Influenza Virus Research Studies (22 papers), Immune Cell Function and Interaction (20 papers) and T-cell and B-cell Immunology (18 papers). The work is most often cited by research in Immunology (3.7k citations), Pathology and Forensic Medicine (2.7k citations), Developmental Neuroscience (416 citations), Neurology (789 citations) and Radiology, Nuclear Medicine and Imaging (2.0k citations). Ruth Arnon has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Michael Sela, Dvora Teitelbaum, Rina Aharoni, Tamar Ben-Yedidia, Raya Eilam, Meir Wilchek, A. Meshorer, Bilha Schechter, Esther Hurwitz and Cynthia Webb. Their work appears in journals such as Proceedings of the National Academy of Sciences, European Journal of Immunology, Immunology Letters, European Journal of Biochemistry and Journal of Neuroimmunology.

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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