Sérgio Lilla

3.6k citations
70 papers · 1.8k · 1 hit paper · h-index 21

Impact in

    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Extracellular vesicles in disease
    • Ubiquitin and proteasome pathways
    • RNA Interference and Gene Delivery

Papers in

    • Ubiquitin and proteasome pathways 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • Cellular transport and secretion 7
    • Cellular Mechanics and Interactions 7
    • Microtubule and mitosis dynamics 4

Sérgio Lilla

65 papers receiving 1.7k citations

Sérgio Lilla's Hit Papers

Quantitative proteomics identifies the core proteome of exosomes with syntenin-1 as the highest abundant protein and a putative universal biomarker 2021 · 359 citations
3590+1+3Years since publication100200300

Peers

Sérgio Lilla
Comparison fields: 5 of 113
  • Cancer Research 309
  • Molecular Biology 1.2k
  • Immunology and Allergy 75
  • Cell Biology 203
  • Oncology 288
Replace Jin Y with:
Jin Y China
Ming‐Zhong Sun China
William Burkhart United States
Fei Huang United States
Thierry Buchou France
Adrian Drazic Norway
Aaron P. van Loon Switzerland
Étienne Coyaud Canada
Nancy L. Andon United States
Yukiko Shimada Japan
Sérgio Lilla relative to Jin Y China Jin Y's profile →
Citations per field
00.5×
Jin Y · 1×
Citations per year

Countries citing papers authored by Sérgio Lilla

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Sérgio Lilla Line = papers co-authored together Sérgio Lilla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantitative proteomics identifies the core proteome of exosomes with syntenin-1 as the highest abundant protein and a putative universal biomarker
Hit paper breakdown →
2021359
2 2018193
3 2012151
4 201997
5 200671
6 202056
7 201052
8 201544
9 202044
10 201742
11 201941
12 200532
13 200632
14 199931
15 200730
16 201027
17 202425
18 201224
19 200423
20 201321

About Sérgio Lilla

Sérgio Lilla is a scholar working on Molecular Biology, Cell Biology, Physiology, Spectroscopy and Oncology, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (7 papers), Cellular Mechanics and Interactions (7 papers), Advanced Proteomics Techniques and Applications (6 papers), Erythrocyte Function and Pathophysiology (4 papers), Microtubule and mitosis dynamics (4 papers), Peptidase Inhibition and Analysis (4 papers), Ubiquitin and proteasome pathways (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Cancer Research (309 citations), Molecular Biology (1.2k citations), Immunology and Allergy (75 citations), Cell Biology (203 citations) and Oncology (288 citations). Sérgio Lilla has collaborated with scholars based in United Kingdom, Italy and Brazil. Frequent co-authors include Sara Zanivan, Fernanda G. Kugeratski, Raghu Kalluri, Xunian Zhou, Rosa F. Hwang, Kelly Hodge, Kathleen M. McAndrews, Gilberto De Nucci, Eyal Gottlieb and Liang Zheng. Their work appears in journals such as The EMBO Journal, Journal of Cell Science, Journal of Chromatography B, Nature Communications and Science Signaling.

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.

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