J. Levy

460 citations
8 papers · 354 · h-index 6

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immunodeficiency and Autoimmune Disorders
    • Macrophage Migration Inhibitory Factor

Papers in

J. Levy

8 papers receiving 294 citations

Peers

J. Levy
Comparison fields: 5 of 84
  • Immunology 135
  • Behavioral Neuroscience 16
  • Rheumatology 55
  • Hematology 29
  • Endocrinology, Diabetes and Metabolism 37
Replace A.J. Frew with:
A.J. Frew United Kingdom
S. Deam United Kingdom
P. R. Riddle United Kingdom
Steĭnberg Ad United States
Samuel García‐Arellano Mexico
G. Hense Switzerland
R.H.J. Beelen Netherlands
M. Meyer Israel
Hitoshi Kusano Japan
Konstantin N. Konstantinov United States
J. Levy relative to A.J. Frew United Kingdom A.J. Frew's profile →
Citations per field
00.5×4.1×
A.J. Frew · 1×
Citations per year

Countries citing papers authored by J. Levy

Since Specialization
Citations

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

Fields of papers citing papers by J. Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside J. Levy, 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 J. Levy Line = papers co-authored together J. Levy links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1974245
2 197840
3 197437
4
Receptors for IgG (Fc receptors) on human lymphocytes: re-evaluation by multiple techniques.
197814
5 19769
6
Levamisole and cellular immunity in rheumatoid arthritis--clinical and laboratory correlates.
19785
7 20242
8
Correlations of clinical and laboratory effects of treatment with levamisole in autoimmune disease.
19782

About J. Levy

J. Levy is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pharmacology, Genetics and Pathology and Forensic Medicine, having authored 8 papers that have together received 354 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Analytical Methods in Pharmaceuticals (1 paper), Protein purification and stability (1 paper), Dermatology and Skin Diseases (1 paper), Reproductive System and Pregnancy (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Immunology (135 citations), Behavioral Neuroscience (16 citations), Rheumatology (55 citations), Hematology (29 citations) and Endocrinology, Diabetes and Metabolism (37 citations). J. Levy has collaborated with scholars based in United States and India. Frequent co-authors include Philip J. Clements, David Tak Yan Yu, Harold E. Paulus, Eugene V. Barnett, James B. Peter, Shlomo Margel, A. Rembaum, Carl M. Pearson and Venkateshwaran Krishnaswami. Their work appears in journals such as Journal of Clinical Investigation, Journal of Immunological Methods, Experimental Biology and Medicine, Central Nervous System Agents in Medicinal Chemistry and Arthritis & Rheumatism.

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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