Federico M. Giorgi
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 6
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks 16
- Gene expression and cancer classification 11
- Single-cell and spatial transcriptomics 7
- Gene Regulatory Network Analysis 7
- Plant Gene Expression Analysis 6
- Plant Science top 1%
- Plant Molecular Biology Research 6
- Cancer Research top 5%
- Biochemistry top 5%
- Co-authors
- Daniele MercatelliFrancesco LicausiPierdomenico PerataAndrea CalifanoAlexander LachmannCristian Del FabbroBjörn UsadelBeatrice Giuntoli
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Federico M. Giorgi
74 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Infectious Diseases 915
- Molecular Biology 3.1k
- Plant Science 1.6k
- Cancer Research 487
- Biochemistry 145
Countries citing papers authored by Federico M. Giorgi
This map shows the geographic impact of Federico M. Giorgi'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 Federico M. Giorgi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico M. Giorgi more than expected).
Fields of papers citing papers by Federico M. Giorgi
This network shows the impact of papers produced by Federico M. Giorgi. 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 Federico M. Giorgi. The network helps show where Federico M. Giorgi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Federico M. Giorgi, 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 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 58 | |
| 10 | 2021 | 56 | |
| 11 | 2020 | 49 | |
| 12 | 2020 | 54 | |
| 13 | Intratumoral Copper Modulates PD-L1 Expression and Influences Tumor Immune Evasionbreakdown → | 2020 | 280 |
| 14 | 2020 | 38 | |
| 15 | 2020 | 376 | |
| 16 | 2017 | 49 | |
| 17 | 2013 | 31 | |
| 18 | 2012 | 29 | |
| 19 | Expression-based reverse engineering of plant transcriptional networks | 2012 | 1 |
| 20 | 2009 | 39 |
About Federico M. Giorgi
Federico M. Giorgi is a scholar working on Molecular Biology, Cancer Research and General Dentistry, having authored 79 papers that have together received 5.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (16 papers), Gene expression and cancer classification (11 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Single-cell and spatial transcriptomics (7 papers), Gene Regulatory Network Analysis (7 papers), COVID-19 Clinical Research Studies (6 papers), Plant Gene Expression Analysis (6 papers) and Plant Molecular Biology Research (6 papers). The work is most often cited by research in Infectious Diseases (915 citations), Molecular Biology (3.1k citations) and Plant Science (1.6k citations). Federico M. Giorgi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Daniele Mercatelli, Francesco Licausi, Pierdomenico Perata, Andrea Califano, Alexander Lachmann, Cristian Del Fabbro, Björn Usadel, Beatrice Giuntoli, Joost T. van Dongen and Michele Morgante.
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.