Alberto Pessia
- Molecular Biology top 10%
- Oncology
- Physiology top 10%
- Computational Theory and Mathematics top 2%
- Epidemiology
- Co-authors
- Vidya VelagapudiJing TangAlina MalyutinaWenyu WangZiaurrehman TanoliJehad AldahdoohShuyu ZhengTolou Shadbahr
- Topics
- Mitochondrial Function and Pathology (4 papers)Computational Drug Discovery Methods (3 papers)Bioinformatics and Genomic Networks (3 papers)
- Partner nations
- FinlandGermanyUnited States
In The Last Decade
Alberto Pessia
22 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.1k
- Oncology 227
- Physiology 217
- Computational Theory and Mathematics 197
- Epidemiology 165
Countries citing papers authored by Alberto Pessia
This map shows the geographic impact of Alberto Pessia'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 Alberto Pessia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Pessia more than expected).
Fields of papers citing papers by Alberto Pessia
This network shows the impact of papers produced by Alberto Pessia. 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 Alberto Pessia. The network helps show where Alberto Pessia may publish in the future.
Co-authorship network of co-authors of Alberto Pessia
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Pessia. A scholar is included among the top collaborators of Alberto Pessia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alberto Pessia. Alberto Pessia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasetsbreakdown → | 320 |
| 3 | 20 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 176 | |
| 7 | 25 | |
| 8 | 1 | |
| 9 | 157 | |
| 10 | 27 | |
| 11 | 15 | |
| 12 | 125 | |
| 13 | 9 | |
| 14 | 23 | |
| 15 | 68 | |
| 16 | 280 | |
| 17 | 22 | |
| 18 | 189 | |
| 19 | 148 | |
| 20 | 12 |
About Alberto Pessia
Alberto Pessia is a scholar working on Aging, Biological Psychiatry and Cell Biology, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Computational Drug Discovery Methods (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Aging (77 citations), Geriatrics and Gerontology (79 citations) and Biological Psychiatry (49 citations). Alberto Pessia has collaborated with scholars based in Finland, Germany and United States. Frequent co-authors include Vidya Velagapudi, Jing Tang, Alina Malyutina, Wenyu Wang, Ziaurrehman Tanoli, Jehad Aldahdooh, Shuyu Zheng, Tolou Shadbahr, Anu Suomalainen and Nahid Khan. Their work appears in journals such as Cell, Nucleic Acids Research and The Journal of Cell Biology.
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.