Leonard Moise

3.3k citations
87 papers · 2.8k · h-index 32

Impact in

Papers in

    • Immunotherapy and Immune Responses 21
    • Immune Cell Function and Interaction 13
    • T-cell and B-cell Immunology 11
    • vaccines and immunoinformatics approaches 45

Leonard Moise

84 papers receiving 2.7k citations

Peers

Leonard Moise
Comparison fields: 5 of 98
  • Immunology 1.0k
  • Radiology, Nuclear Medicine and Imaging 710
  • Infectious Diseases 462
  • Biotechnology 196
  • Molecular Biology 1.5k
Replace Richard J. Pleass with:
Richard J. Pleass United Kingdom
Marie-Dominique JOLIVET France
Angray S. Kang United Kingdom
Stuart J. Rodda Australia
Mark Throsby Netherlands
Ugo D’Oro Italy
Morten Agertoug Nielsen Denmark
Jutta Bachmann Germany
R M Zinkernagel Switzerland
Janet L. Maryanski Switzerland
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Citations per field
00.5×1.7×
Richard J. Pleass · 1×
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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008340
2 2020133
3 201391
4 201591
5 200889
6
Prediction of immunogenicity for therapeutic proteins: state of the art.
200786
7 200982
8 201372
9 201171
10 200770
11 201168
12 200262
13 200961
14 200860
15 201260
16 201960
17 199955
18 201152
19 201452
20 201049

About Leonard Moise

Leonard Moise is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Virology, having authored 87 papers that have together received 2.8k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (45 papers), Immunotherapy and Immune Responses (21 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), Influenza Virus Research Studies (14 papers), Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (11 papers), Viral Infections and Vectors (6 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Immunology (1.0k citations), Radiology, Nuclear Medicine and Imaging (710 citations), Infectious Diseases (462 citations), Biotechnology (196 citations) and Molecular Biology (1.5k citations). Leonard Moise has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Anne Searls De Groot, William D Martin, McMurry Julie, Frances E. Terry, Andres Hazaet Gutierrez, David William Scott, Laurence Van Overtvelt, Philippe E. Moingeon, Erik R. Wambre and Edward Hawrot. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Vaccine, Frontiers in Immunology, Expert Review of Vaccines and Blood.

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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