Léonardo Scapozza
- Hematology top 2%
- Molecular Biology top 2%
- Biochemical and Molecular Research 11
- Muscle Physiology and Disorders 10
- Physiology top 1%
- Genetics top 2%
- Epidemiology top 2%
- Herpesvirus Infections and Treatments 21
- Trypanosoma species research and implications 10
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- Monoclonal and Polyclonal Antibodies Research 26
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- Toxin Mechanisms and Immunotoxins 15
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- Computational Drug Discovery Methods 12
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- HIV/AIDS drug development and treatment 12
- Co-authors
- Remo PerozzoGerd FolkersHans‐Uwe SimonShída YousefiInès SchmidThomas BrunnerAndrew ZiemieckiThomas Schaffner
- Journals
- Journal of Medicinal Chemistry (11 papers)Journal of Biological Chemistry (7 papers)CHIMIA International Journal for Chemistry (6 papers)
- Partner nations
- SwitzerlandItalyGermany
In The Last Decade
Léonardo Scapozza
182 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Hematology 628
- Molecular Biology 3.6k
- Physiology 235
- Genetics 513
- Epidemiology 1.5k
Countries citing papers authored by Léonardo Scapozza
This map shows the geographic impact of Léonardo Scapozza'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 Léonardo Scapozza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Léonardo Scapozza more than expected).
Fields of papers citing papers by Léonardo Scapozza
This network shows the impact of papers produced by Léonardo Scapozza. 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 Léonardo Scapozza. The network helps show where Léonardo Scapozza may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Léonardo Scapozza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 20 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 10 | |
| 12 | 2020 | 8 | |
| 13 | 2020 | 12 | |
| 14 | 2020 | 24 | |
| 15 | 2018 | 26 | |
| 16 | 2018 | 10 | |
| 17 | 2017 | 3 | |
| 18 | 2016 | 17 | |
| 19 | 2013 | 8 | |
| 20 | 2012 | 71 |
About Léonardo Scapozza
Léonardo Scapozza is a scholar working on Molecular Biology, Immunology, Hematology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 187 papers that have together received 7.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (26 papers), Herpesvirus Infections and Treatments (21 papers), Toxin Mechanisms and Immunotoxins (15 papers), Computational Drug Discovery Methods (12 papers), HIV/AIDS drug development and treatment (12 papers), Biochemical and Molecular Research (11 papers), Muscle Physiology and Disorders (10 papers) and Trypanosoma species research and implications (10 papers). The work is most often cited by research in Hematology (628 citations), Molecular Biology (3.6k citations), Physiology (235 citations), Genetics (513 citations) and Epidemiology (1.5k citations). Léonardo Scapozza has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include Remo Perozzo, Gerd Folkers, Hans‐Uwe Simon, Shída Yousefi, Inès Schmid, Thomas Brunner, Andrew Ziemiecki, Thomas Schaffner, Carlo Gambacorti‐Passerini and Rocco Piazza. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, CHIMIA International Journal for Chemistry, PLoS ONE and Biochemistry.
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.