Leonard Moise

3.3k citations
85 papers · 2.5k · h-index 31

Impact in

Papers in

    • vaccines and immunoinformatics approaches 47
    • Immunotherapy and Immune Responses 20
    • Immune Cell Function and Interaction 11
    • T-cell and B-cell Immunology 10

Leonard Moise

83 papers receiving 2.4k citations

Peers

Leonard Moise
Comparison fields: 5 of 94
  • Immunology 931
  • Radiology, Nuclear Medicine and Imaging 635
  • Infectious Diseases 400
  • Biotechnology 173
  • Molecular Biology 1.3k
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Ilka Hoof Denmark
Andrea J. Sant United States
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Citations per field
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Citations per year

Countries citing papers authored by Leonard Moise

Since Specialization
Citations

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

Fields of papers citing papers by Leonard Moise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008322
2 2020120
3 201588
4 201383
5 200982
6 200881
7
Prediction of immunogenicity for therapeutic proteins: state of the art.
200777
8 201373
9 201166
10 201162
11 200762
12 200258
13 201256
14 201956
15 200953
16 201152
17 199951
18 201450
19 201042
20 201541

About Leonard Moise

Leonard Moise is a scholar working on Molecular Biology, Immunology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 85 papers that have together received 2.5k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (47 papers), Immunotherapy and Immune Responses (20 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Influenza Virus Research Studies (17 papers), Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Viral Infections and Vectors (6 papers). The work is most often cited by research in Immunology (931 citations), Radiology, Nuclear Medicine and Imaging (635 citations), Infectious Diseases (400 citations), Biotechnology (173 citations) and Molecular Biology (1.3k citations). Leonard Moise has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Anne S. De Groot, William Martin, Julie A. McMurry, Frances Terry, Andrés H. Gutiérrez, David W. Scott, Erik Wambre, Philippe Moingeon, Laurence Van Overtvelt and Ryan Tassone. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Vaccine, Frontiers in Immunology, The Journal of Immunology and Expert Review of Vaccines.

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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