Massimo Degano
Impact in
- Immunology top 0.5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Physiology top 2%
Papers in
-
- Adenosine and Purinergic Signaling 6
- Immunology 29
- Immune Cell Function and Interaction 17
- T-cell and B-cell Immunology 14
- Immunotherapy and Immune Responses 7
- Immunodeficiency and Autoimmune Disorders 6
- Co-authors
- Ian A. WilsonK. Christopher GarcíaLuc TeytonPer A. PetersonAnders BrunmarkMichael R. JacksonRobyn L. StanfieldLarry R. Pease
- Journals
- Biochemistry (8 papers)Scientific Reports (4 papers)The Journal of Immunology (3 papers)Science (3 papers)Blood (3 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Massimo Degano
65 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Immunology 2.5k
- Physiology 190
- Immunology and Allergy 172
- Radiology, Nuclear Medicine and Imaging 627
- Biotechnology 194
Countries citing papers authored by Massimo Degano
This map shows the geographic impact of Massimo Degano'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 Massimo Degano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Degano more than expected).
Fields of papers citing papers by Massimo Degano
This network shows the impact of papers produced by Massimo Degano. 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 Massimo Degano. The network helps show where Massimo Degano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Degano, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 4 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 16 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 20 | |
| 10 | 2019 | 30 | |
| 11 | Distinct Homotypic B-Cell Receptor Interactions Shape The Outcome Of Chronic Lymphocytic Leukemia | 2016 | 2 |
| 12 | 2014 | 36 | |
| 13 | 2012 | 15 | |
| 14 | 2010 | 9 | |
| 15 | 2005 | 103 | |
| 16 | 2005 | 17 | |
| 17 | 2002 | 46 | |
| 18 | 2002 | 251 | |
| 19 | 2001 | 19 | |
| 20 | 1999 | 150 |
About Massimo Degano
Massimo Degano is a scholar working on Physiology, Immunology, Genetics, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 71 papers that have together received 4.3k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (18 papers), Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Chronic Lymphocytic Leukemia Research (9 papers), Immunotherapy and Immune Responses (7 papers), Immunodeficiency and Autoimmune Disorders (6 papers) and Adenosine and Purinergic Signaling (6 papers). The work is most often cited by research in Immunology (2.5k citations), Physiology (190 citations), Immunology and Allergy (172 citations), Radiology, Nuclear Medicine and Imaging (627 citations) and Biotechnology (194 citations). Massimo Degano has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Ian A. Wilson, K. Christopher García, Luc Teyton, Per A. Peterson, Anders Brunmark, Michael R. Jackson, Robyn L. Stanfield, Larry R. Pease, Mingdong Huang and James C. Sacchettini. Their work appears in journals such as Biochemistry, Scientific Reports, The Journal of Immunology, Science 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.