Santo Motta
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
-
- vaccines and immunoinformatics approaches 19
- Gene Regulatory Network Analysis 13
- Immunology 24
- Immunotherapy and Immune Responses 13
- T-cell and B-cell Immunology 11
- Co-authors
- Francesco Pappalardo (42 shared papers)Marzio Pennisi (28 shared papers)Pier‐Luigi Lollini (8 shared papers)Filippo Castiglione (9 shared papers)Giulia Russo (12 shared papers)Carlo Bianca (8 shared papers)Ferdınando Chıacchıo (6 shared papers)A. M. Anile (7 shared papers)
- Journals
- Bioinformatics (5 papers)BMC Bioinformatics (4 papers)The Astrophysical Journal (3 papers)BioMed Research International (3 papers)Solar Physics (2 papers)
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Santo Motta
78 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 155
- Modeling and Simulation 265
- Immunology 325
- Molecular Biology 733
- Astronomy and Astrophysics 148
- Radiology, Nuclear Medicine and Imaging 199
Countries citing papers authored by Santo Motta
This map shows the geographic impact of Santo Motta'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 Santo Motta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Santo Motta more than expected).
Fields of papers citing papers by Santo Motta
This network shows the impact of papers produced by Santo Motta. 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 Santo Motta. The network helps show where Santo Motta may publish in the future.
Co-authors
The 25 scholars most cited alongside Santo Motta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 95 | |
| 2 | 2014 | 77 | |
| 3 | 2005 | 75 | |
| 4 | 2010 | 69 | |
| 5 | 2011 | 52 | |
| 6 | 2010 | 52 | |
| 7 | 2006 | 49 | |
| 8 | 2014 | 49 | |
| 9 | 2016 | 47 | |
| 10 | 2011 | 45 | |
| 11 | 2007 | 45 | |
| 12 | 1982 | 44 | |
| 13 | 2011 | 42 | |
| 14 | 2008 | 40 | |
| 15 | 2012 | 35 | |
| 16 | 2020 | 33 | |
| 17 | 2009 | 33 | |
| 18 | 2016 | 33 | |
| 19 | 2015 | 29 | |
| 20 | 1978 | 27 |
About Santo Motta
Santo Motta is a scholar working on Molecular Biology, Immunology, Astronomy and Astrophysics, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (19 papers), Immunotherapy and Immune Responses (13 papers), Gene Regulatory Network Analysis (13 papers), T-cell and B-cell Immunology (11 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Cosmology and Gravitation Theories (9 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Artificial Immune Systems Applications (7 papers). The work is most often cited by research in Modeling and Simulation (265 citations), Immunology (325 citations), Molecular Biology (733 citations), Astronomy and Astrophysics (148 citations) and Radiology, Nuclear Medicine and Imaging (199 citations). Santo Motta has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Francesco Pappalardo, Marzio Pennisi, Pier‐Luigi Lollini, Filippo Castiglione, Giulia Russo, Carlo Bianca, Ferdınando Chıacchıo, A. M. Anile, Salvatore Musumeci and Patrizia Nanni. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, The Astrophysical Journal, BioMed Research International and Solar Physics.
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.