Andrea Comba
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Hedgehog Signaling Pathway Studies 3
- Genetics 10
- Glioma Diagnosis and Treatment 10
- Virus-based gene therapy research 5
- Co-authors
- Pedro R. Löwenstein (30 shared papers)María Eugenia Pasqualini (8 shared papers)María G. Castro (26 shared papers)Aldo R. Eynard (5 shared papers)Syed Mohd Faisal (12 shared papers)María L. Varela (10 shared papers)Sébastien Motsch (10 shared papers)Martín E. Fernández-Zapico (5 shared papers)
- Journals
- Neuro-Oncology (13 papers)Frontiers in Oncology (3 papers)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Molecular Neurobiology (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesArgentinaItaly
In The Last Decade
Andrea Comba
41 papers receiving 748 citations
Peers
Comparison fields: 5 of 86
- Genetics 144
- Cancer Research 133
- Nutrition and Dietetics 87
- Oncology 140
- Immunology 101
Countries citing papers authored by Andrea Comba
This map shows the geographic impact of Andrea Comba'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 Andrea Comba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Comba more than expected).
Fields of papers citing papers by Andrea Comba
This network shows the impact of papers produced by Andrea Comba. 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 Andrea Comba. The network helps show where Andrea Comba may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrea Comba, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 63 | |
| 2 | 2010 | 60 | |
| 3 | 2022 | 59 | |
| 4 | 2021 | 46 | |
| 5 | 2011 | 43 | |
| 6 | 2015 | 40 | |
| 7 | 2020 | 39 | |
| 8 | 2010 | 39 | |
| 9 | 2005 | 36 | |
| 10 | 2022 | 33 | |
| 11 | 2014 | 29 | |
| 12 | 2022 | 25 | |
| 13 | 2020 | 25 | |
| 14 | 2021 | 25 | |
| 15 | 2019 | 21 | |
| 16 | 2009 | 21 | |
| 17 | 2022 | 18 | |
| 18 | 2020 | 17 | |
| 19 | 2021 | 16 | |
| 20 | 2018 | 16 |
About Andrea Comba
Andrea Comba is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Immunology, having authored 44 papers that have together received 758 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Fatty Acid Research and Health (5 papers), Virus-based gene therapy research (5 papers), Cancer, Lipids, and Metabolism (4 papers), Cancer Research and Treatments (4 papers), Mathematical Biology Tumor Growth (3 papers), Cancer Cells and Metastasis (3 papers) and Hedgehog Signaling Pathway Studies (3 papers). The work is most often cited by research in Genetics (144 citations), Cancer Research (133 citations), Nutrition and Dietetics (87 citations), Oncology (140 citations) and Immunology (101 citations). Andrea Comba has collaborated with scholars based in United States, Argentina and Italy. Frequent co-authors include Pedro R. Löwenstein, María Eugenia Pasqualini, María G. Castro, Aldo R. Eynard, Syed Mohd Faisal, María L. Varela, Sébastien Motsch, Martín E. Fernández-Zapico, Padma Kadiyala and Undurti N. Das. Their work appears in journals such as Neuro-Oncology, Frontiers in Oncology, Methods in enzymology on CD-ROM/Methods in enzymology, Molecular Neurobiology and Science Advances.
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.