Paulo C. Carvalho

4.1k total citations
147 papers, 3.0k citations indexed

About

Paulo C. Carvalho is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, Paulo C. Carvalho has authored 147 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Molecular Biology, 59 papers in Spectroscopy and 23 papers in Epidemiology. Recurrent topics in Paulo C. Carvalho's work include Advanced Proteomics Techniques and Applications (55 papers), Mass Spectrometry Techniques and Applications (36 papers) and Metabolomics and Mass Spectrometry Studies (22 papers). Paulo C. Carvalho is often cited by papers focused on Advanced Proteomics Techniques and Applications (55 papers), Mass Spectrometry Techniques and Applications (36 papers) and Metabolomics and Mass Spectrometry Studies (22 papers). Paulo C. Carvalho collaborates with scholars based in Brazil, United States and France. Paulo C. Carvalho's co-authors include John R. Yates, Valmir C. Barbosa, Juliana S. G. Fischer, Tao Xu, Diogo Borges Lima, Richard H. Valente, Felipe da Veiga Leprevost, Daniel Cociorva, Marlon Dias Mariano Santos and Jonás Perales and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Paulo C. Carvalho

140 papers receiving 3.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paulo C. Carvalho Brazil 27 1.8k 791 498 336 297 147 3.0k
Giuseppe Palmisano Brazil 35 2.5k 1.4× 809 1.0× 267 0.5× 173 0.5× 372 1.3× 153 3.7k
Jochen Heukeshoven Germany 21 2.0k 1.2× 333 0.4× 458 0.9× 249 0.7× 219 0.7× 34 3.4k
Christophe Bruley France 29 2.4k 1.4× 721 0.9× 1.1k 2.1× 204 0.6× 266 0.9× 50 3.9k
Birgit Eisenhaber Singapore 29 2.7k 1.6× 128 0.2× 664 1.3× 281 0.8× 386 1.3× 77 3.8k
Josef Wissing Germany 28 1.8k 1.0× 219 0.3× 299 0.6× 172 0.5× 361 1.2× 61 3.2k
Richard G. Côté United Kingdom 13 1.7k 1.0× 719 0.9× 224 0.4× 157 0.5× 126 0.4× 17 2.4k
Lyris Martins Franco de Godoy Brazil 12 1.8k 1.0× 916 1.2× 194 0.4× 140 0.4× 271 0.9× 18 2.5k
Thierry Meinnel France 48 4.8k 2.7× 345 0.4× 1000 2.0× 417 1.2× 566 1.9× 127 6.4k
Carmela Giglione France 37 3.6k 2.1× 336 0.4× 989 2.0× 180 0.5× 388 1.3× 95 4.8k
Zhi Sun United States 24 3.0k 1.7× 1.8k 2.3× 144 0.3× 276 0.8× 228 0.8× 52 4.1k

Countries citing papers authored by Paulo C. Carvalho

Since Specialization
Citations

This map shows the geographic impact of Paulo C. Carvalho'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 Paulo C. Carvalho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paulo C. Carvalho more than expected).

Fields of papers citing papers by Paulo C. Carvalho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paulo C. Carvalho. 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 Paulo C. Carvalho. The network helps show where Paulo C. Carvalho may publish in the future.

Co-authorship network of co-authors of Paulo C. Carvalho

This figure shows the co-authorship network connecting the top 25 collaborators of Paulo C. Carvalho. A scholar is included among the top collaborators of Paulo C. Carvalho 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 Paulo C. Carvalho. Paulo C. Carvalho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fischer, Juliana de Saldanha da Gama, et al.. (2026). Proteomic dataset of MECP2-deficient and wild-type human brain organoids under spaceflight and ground conditions. Scientific Data. 13(1).
2.
Valente, Richard H., Diogo Borges Lima, Fábio César Sousa Nogueira, et al.. (2025). Structural dynamics of the TPS/TPP complex in Saccharomyces cerevisiae: Insights from cross-linking mass spectrometry and computational modeling. Journal of Proteomics. 322. 105535–105535.
3.
Oliveira, Haroldo César de, et al.. (2025). The flippases Apt1 and Apt2 differentially influence extracellular vesicle cargo and polysaccharide secretion in Cryptococcus neoformans. Journal of Proteomics. 319. 105483–105483.
4.
Irioda, Ana Carolina, et al.. (2025). Proteomic Characterization of Extracellular Vesicles from Human Neural Precursor Cells: A Promising Advanced Therapy for Neurodegenerative Diseases. International Journal of Nanomedicine. Volume 20. 6675–6699.
5.
Santos, Marlon Dias Mariano, et al.. (2024). SpliceProt 2.0: A Sequence Repository of Human, Mouse, and Rat Proteoforms. International Journal of Molecular Sciences. 25(2). 1183–1183.
6.
Santos, Marlon Dias Mariano, Carlos André Ornelas Ricart, Mariana S. Castro, et al.. (2024). Organ-specific proteomes of Selaginella convoluta provide insights into its desiccation tolerance mechanisms. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 158(4). 696–703. 1 indexed citations
7.
Besada, Vladimir, Paulo C. Carvalho, Michel Batista, et al.. (2024). On the utility of the extracted ion chromatograms for assigning the conjugation sites and side reactions in bioconjugates synthesized by the maleimide-thiol chemistry. Microchemical Journal. 204. 111025–111025. 3 indexed citations
8.
Liu, Fan, et al.. (2024). RawVegetable 2.0: Refining XL-MS Data Acquisition through Enhanced Quality Control. Journal of Proteome Research. 23(8). 3141–3148. 3 indexed citations
9.
Carvalho, Paulo C., Michel Batista, Hironobu Hojo, et al.. (2024). A hydrolyzed N ‐propionylthiosuccinimide linker is cleaved by metastable fragmentation, increasing reliability of conjugation site identification in conjugate vaccines. Rapid Communications in Mass Spectrometry. 38(18). e9859–e9859. 1 indexed citations
10.
Honorato, Leandro, Haroldo César de Oliveira, Jaqueline Moraes Bazioli, et al.. (2024). Corrected and republished from: “Extracellular Vesicle Formation in Cryptococcus deuterogattii Impacts Fungal Virulence”. Infection and Immunity. 92(4). e0003724–e0003724. 2 indexed citations
11.
Wang, Cong, Boris Bogdanow, Zehong Zhang, et al.. (2024). Proteome-scale recombinant standards and a robust high-speed search engine to advance cross-linking MS-based interactomics. Nature Methods. 21(12). 2327–2335. 13 indexed citations
12.
Fischer, Juliana S. G., et al.. (2024). Proteomic Analysis of a Rat Streptozotocin Model Shows Dysregulated Biological Pathways Implicated in Alzheimer’s Disease. International Journal of Molecular Sciences. 25(5). 2772–2772. 6 indexed citations
13.
Santos, Marlon Dias Mariano, Diogo Borges Lima, T.A.C.B. Souza, et al.. (2023). DiagnoMass: A proteomics hub for pinpointing discriminative spectral clusters. Journal of Proteomics. 277. 104853–104853. 3 indexed citations
14.
Lima, Diogo Borges, Mathieu Dupré, Marlon Dias Mariano Santos, Paulo C. Carvalho, & Julia Chamot‐Rooke. (2021). DiagnoTop: A Computational Pipeline for Discriminating Bacterial Pathogens without Database Search. Journal of the American Society for Mass Spectrometry. 32(6). 1295–1299. 4 indexed citations
15.
Gil, Magdalena, Analı́a Lima, Alessandro Cascioferro, et al.. (2018). New substrates and interactors of the mycobacterial Serine/Threonine protein kinase PknG identified by a tailored interactomic approach. Journal of Proteomics. 192. 321–333. 20 indexed citations
16.
Simabuco, Fernando Moreira, Isadora Carolina Betim Pavan, Paulo C. Carvalho, et al.. (2018). Interactome analysis of the human Cap‐specific mRNA (nucleoside‐2′‐O‐)‐methyltransferase 1 (hMTr1) protein. Journal of Cellular Biochemistry. 120(4). 5597–5611. 5 indexed citations
17.
Lima, Analı́a, Magdalena Gil, Agustín Correa, et al.. (2017). The EAL-domain protein FcsR regulates flagella, chemotaxis and type III secretion system in Pseudomonas aeruginosa by a phosphodiesterase independent mechanism. Scientific Reports. 7(1). 10281–10281. 19 indexed citations
18.
Leprevost, Felipe da Veiga, et al.. (2014). On best practices in the development of bioinformatics software. Frontiers in Genetics. 5. 199–199. 39 indexed citations
19.
Nishimura, Noriyuki, Ali Sarkeshik, Kazumasa Nito, et al.. (2009). PYR/PYL/RCAR family members are major in‐vivo ABI1 protein phosphatase 2C‐interacting proteins in Arabidopsis. The Plant Journal. 61(2). 290–299. 387 indexed citations
20.
Carvalho, Paulo C., Juliana S. G. Fischer, Emily I. Chen, et al.. (2009). GO Explorer: A gene-ontology tool to aid in the interpretation of shotgun proteomics data. Proteome Science. 7(1). 6–6. 27 indexed citations

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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