Sam Massa
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Radiopharmaceutical Chemistry and Applications
- Oncology top 10%
- CAR-T cell therapy research
- HER2/EGFR in Cancer Research
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 9
- Radiopharmaceutical Chemistry and Applications 5
- Oncology 8
- Peptidase Inhibition and Analysis 3
- HER2/EGFR in Cancer Research 3
- Co-authors
- Nick Devoogdt (16 shared papers)Catarina Xavier (10 shared papers)Tony Lahoutte (10 shared papers)Serge Muyldermans (8 shared papers)Vicky Caveliers (5 shared papers)Jens De Vos (6 shared papers)Sophie Hernot (4 shared papers)Matthias D’Huyvetter (6 shared papers)
- Journals
- Bioconjugate Chemistry (2 papers)Contrast Media & Molecular Imaging (1 paper)Molecular Imaging and Biology (1 paper)Clinical Cancer Research (1 paper)Journal of Nuclear Medicine (1 paper)
- Partner nations
- BelgiumNetherlandsIran
In The Last Decade
Sam Massa
18 papers receiving 903 citations
Peers
Comparison fields: 5 of 66
- Radiology, Nuclear Medicine and Imaging 602
- Oncology 277
- Immunology 159
- Biomaterials 84
- Molecular Biology 418
Countries citing papers authored by Sam Massa
This map shows the geographic impact of Sam Massa'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 Sam Massa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Massa more than expected).
Fields of papers citing papers by Sam Massa
This network shows the impact of papers produced by Sam Massa. 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 Sam Massa. The network helps show where Sam Massa may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Massa, 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 | 2014 | 157 | |
| 2 | 2017 | 152 | |
| 3 | 2016 | 105 | |
| 4 | 2017 | 89 | |
| 5 | 2018 | 57 | |
| 6 | 2019 | 52 | |
| 7 | 2016 | 47 | |
| 8 | 2012 | 46 | |
| 9 | 2017 | 41 | |
| 10 | 2017 | 40 | |
| 11 | 2019 | 27 | |
| 12 | 2014 | 23 | |
| 13 | 2023 | 23 | |
| 14 | 2019 | 18 | |
| 15 | 2012 | 18 | |
| 16 | 2018 | 16 | |
| 17 | 2024 | 6 | |
| 18 | 2019 | 4 | |
| 19 | 2025 | 0 |
About Sam Massa
Sam Massa is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology, Immunology and Surgery, having authored 19 papers that have together received 921 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Peptidase Inhibition and Analysis (3 papers), HER2/EGFR in Cancer Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Immunotherapy and Immune Responses (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (602 citations), Oncology (277 citations), Immunology (159 citations), Biomaterials (84 citations) and Molecular Biology (418 citations). Sam Massa has collaborated with scholars based in Belgium, Netherlands and Iran. Frequent co-authors include Nick Devoogdt, Catarina Xavier, Tony Lahoutte, Serge Muyldermans, Vicky Caveliers, Jens De Vos, Sophie Hernot, Matthias D’Huyvetter, Geert Raes and Marek Pruszyński. Their work appears in journals such as Bioconjugate Chemistry, Contrast Media & Molecular Imaging, Molecular Imaging and Biology, Clinical Cancer Research and Journal of Nuclear Medicine.
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.