Daniel Compagno
Impact in
- Immunology top 5%
- Galectins and Cancer Biology
- Immunotherapy and Immune Responses
-
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 23
- Galectins and Cancer Biology 18
- T-cell and B-cell Immunology 2
- Immunotherapy and Immune Responses 2
-
- Prostate Cancer Treatment and Research 4
- Co-authors
- Diego J. Laderach (20 shared papers)Lucas D. Gentilini (13 shared papers)Gabriel A. Rabinovich (12 shared papers)María Teresa Elola (5 shared papers)Lorena Nugnes (4 shared papers)Víctor M. Cárdenas Delgado (4 shared papers)María F. Troncoso (4 shared papers)Carlota Wolfenstein‐Todel (4 shared papers)
In The Last Decade
Daniel Compagno
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 68
- Immunology 651
- Oncology 115
- Molecular Biology 258
- Cancer Research 53
- Hematology 46
Countries citing papers authored by Daniel Compagno
This map shows the geographic impact of Daniel Compagno'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 Daniel Compagno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Compagno more than expected).
Fields of papers citing papers by Daniel Compagno
This network shows the impact of papers produced by Daniel Compagno. 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 Daniel Compagno. The network helps show where Daniel Compagno may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Compagno, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 142 | |
| 2 | 2010 | 129 | |
| 3 | 2005 | 92 | |
| 4 | 2014 | 66 | |
| 5 | 2003 | 63 | |
| 6 | 2014 | 62 | |
| 7 | 2014 | 53 | |
| 8 | 2007 | 51 | |
| 9 | 2014 | 49 | |
| 10 | 2020 | 49 | |
| 11 | 2014 | 46 | |
| 12 | 2009 | 43 | |
| 13 | 2017 | 42 | |
| 14 | 2005 | 40 | |
| 15 | 2021 | 35 | |
| 16 | 2017 | 27 | |
| 17 | 2018 | 26 | |
| 18 | 2023 | 26 | |
| 19 | 2010 | 25 | |
| 20 | 1999 | 23 |
About Daniel Compagno
Daniel Compagno is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Hematology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (18 papers), Prostate Cancer Treatment and Research (4 papers), RNA Interference and Gene Delivery (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), T-cell and B-cell Immunology (2 papers), Immunotherapy and Immune Responses (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Immunology (651 citations), Oncology (115 citations), Molecular Biology (258 citations), Cancer Research (53 citations) and Hematology (46 citations). Daniel Compagno has collaborated with scholars based in Argentina, France and Canada. Frequent co-authors include Diego J. Laderach, Lucas D. Gentilini, Gabriel A. Rabinovich, María Teresa Elola, Lorena Nugnes, Víctor M. Cárdenas Delgado, María F. Troncoso, Carlota Wolfenstein‐Todel, Anne H. M. Galy and William Vainchenker. Their work appears in journals such as Frontiers in Immunology, Glycobiology, Clinical Cancer Research, The Journal of Immunology 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.