John E. Leonard

947 citations
29 papers · 804 · h-index 17

Impact in

Papers in

John E. Leonard

28 papers receiving 724 citations

Peers

John E. Leonard
Comparison fields: 5 of 58
  • Cellular and Molecular Neuroscience 162
  • Immunology 131
  • Neurology 42
  • Radiology, Nuclear Medicine and Imaging 114
  • Genetics 141
Replace Terrence Lee Fisher with:
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Hidetaka Yakura Japan
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Ryusuke Matsumura Japan
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John E. Leonard relative to Terrence Lee Fisher United States Terrence Lee Fisher's profile →
Citations per field
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Citations per year

Countries citing papers authored by John E. Leonard

Since Specialization
Citations

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

Fields of papers citing papers by John E. Leonard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014105
2 199975
3 198357
4 201556
5 201756
6 198353
7 202250
8 201548
9 200135
10
Kinetics of protein synthesis inactivation in human T-lymphocytes by selective monoclonal antibody-ricin conjugates.
198534
11 201533
12 199730
13 201524
14 202122
15 198121
16
Athymic mouse model of a human T-cell tumor.
198518
17 201617
18
Inhibition of human T-cell tumor growth by T101-ricin A-chain in an athymic mouse model.
198814
19
Assessment of ligand effects in intracellular trafficking of ricin A chain using anti-ricin hybridomas.
199111
20 198510

About John E. Leonard

John E. Leonard is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Oncology, Neurology and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 804 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Bacterial Genetics and Biotechnology (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Alzheimer's disease research and treatments (4 papers), Genetic Neurodegenerative Diseases (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (162 citations), Immunology (131 citations), Neurology (42 citations), Radiology, Nuclear Medicine and Imaging (114 citations) and Genetics (141 citations). John E. Leonard has collaborated with scholars based in United States and Germany. Frequent co-authors include Milton H. Saier, Maurice Zauderer, Nabil Hanna, Terrence Lee Fisher, Christine A. Reilly, Laurie A. Winter, Paul C. Chinn, David R. Anderson, J. Rosenberg and Gary R. Jacobson. Their work appears in journals such as Alzheimer s & Dementia, Clinical Cancer Research, Journal for ImmunoTherapy of Cancer, Journal of Bacteriology and Journal of Biological Chemistry.

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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