Sérgio Lilla
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- Extracellular vesicles in disease
- Ubiquitin and proteasome pathways
Papers in
- Cell Biology 16
- Cellular Mechanics and Interactions 7
- Cellular transport and secretion 7
- Microtubule and mitosis dynamics 4
- Co-authors
- Sara ZanivanFernanda G. KugeratskiKelly HodgeKathleen M. McAndrewsRosa F. HwangRaghu KalluriGilberto De NucciLiang Zheng
- Journals
- Nature Communications (3 papers)Journal of Cell Science (3 papers)The EMBO Journal (3 papers)Journal of Chromatography B (3 papers)Rapid Communications in Mass Spectrometry (2 papers)
- Partner nations
- United KingdomItalyBrazil
In The Last Decade
Sérgio Lilla
61 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cancer Research 318
- Molecular Biology 1.1k
- Immunology and Allergy 79
- Cell Biology 191
- Oncology 301
Countries citing papers authored by Sérgio Lilla
This map shows the geographic impact of Sérgio Lilla'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 Sérgio Lilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sérgio Lilla more than expected).
Fields of papers citing papers by Sérgio Lilla
This network shows the impact of papers produced by Sérgio Lilla. 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 Sérgio Lilla. The network helps show where Sérgio Lilla may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sérgio Lilla, 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 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 8 | |
| 12 | Quantitative proteomics identifies the core proteome of exosomes with syntenin-1 as the highest abundant protein and a putative universal biomarker Hit paper breakdown → | 2021 | 340 |
| 13 | 2020 | 17 | |
| 14 | 2020 | 17 | |
| 15 | 2020 | 16 | |
| 16 | 2020 | 55 | |
| 17 | 2019 | 94 | |
| 18 | 2018 | 184 | |
| 19 | 2009 | 9 | |
| 20 | 2003 | 8 |
About Sérgio Lilla
Sérgio Lilla is a scholar working on Immunology and Allergy, Cell Biology, Molecular Biology, Spectroscopy and Physiology, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (7 papers), Cellular transport and secretion (7 papers), Advanced Proteomics Techniques and Applications (5 papers), Peptidase Inhibition and Analysis (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Microtubule and mitosis dynamics (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Cancer Research (318 citations), Molecular Biology (1.1k citations), Immunology and Allergy (79 citations), Cell Biology (191 citations) and Oncology (301 citations). Sérgio Lilla has collaborated with scholars based in United Kingdom, Italy and Brazil. Frequent co-authors include Sara Zanivan, Fernanda G. Kugeratski, Kelly Hodge, Kathleen M. McAndrews, Rosa F. Hwang, Raghu Kalluri, Gilberto De Nucci, Liang Zheng, Eyal Gottlieb and Jiska van der Reest. Their work appears in journals such as Nature Communications, Journal of Cell Science, The EMBO Journal, Journal of Chromatography B and Rapid Communications in Mass Spectrometry.
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.