Sérgio Oyama

476 total citations
15 papers, 384 citations indexed

About

Sérgio Oyama is a scholar working on Molecular Biology, Cell Biology and Microbiology. According to data from OpenAlex, Sérgio Oyama has authored 15 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Microbiology. Recurrent topics in Sérgio Oyama's work include Antimicrobial Peptides and Activities (3 papers), Ion channel regulation and function (3 papers) and Biochemical and Structural Characterization (3 papers). Sérgio Oyama is often cited by papers focused on Antimicrobial Peptides and Activities (3 papers), Ion channel regulation and function (3 papers) and Biochemical and Structural Characterization (3 papers). Sérgio Oyama collaborates with scholars based in Brazil, Italy and Germany. Sérgio Oyama's co-authors include Thelma A. Pertinhez, Alberto Spisni, Eneida de Paula, Leonardo Fernandes Fraceto, Maurício L. Sforça, Luciana de Matos Alves Pinto, Maria Helena Andrade Santana, Katsuhiro Konno, Mário Sérgio Palma and Walter Filgueira de Azevedo and has published in prestigious journals such as Biochemistry, Biochemical and Biophysical Research Communications and Journal of Medicinal Chemistry.

In The Last Decade

Sérgio Oyama

15 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sérgio Oyama Brazil 10 182 105 71 49 41 15 384
Edson Crusca Brazil 16 346 1.9× 222 2.1× 20 0.3× 41 0.8× 13 0.3× 40 650
Dongliang Liu China 13 369 2.0× 40 0.4× 11 0.2× 58 1.2× 8 0.2× 33 591
Tzu-Lin Sun United States 7 391 2.1× 283 2.7× 9 0.1× 51 1.0× 72 1.8× 10 568
Amy Schink United States 6 463 2.5× 12 0.1× 17 0.2× 13 0.3× 16 0.4× 6 590
Dimpy Kalia India 8 351 1.9× 42 0.4× 11 0.2× 66 1.3× 7 0.2× 13 522
Mitsuaki Mitani Japan 11 232 1.3× 39 0.4× 7 0.1× 37 0.8× 6 0.1× 22 484
Matic Kisovec Slovenia 12 258 1.4× 21 0.2× 6 0.1× 32 0.7× 11 0.3× 22 420
Katja Michael United States 13 427 2.3× 27 0.3× 6 0.1× 38 0.8× 8 0.2× 33 642
Aline Le Roy France 14 337 1.9× 61 0.6× 9 0.1× 50 1.0× 2 0.0× 28 497
Nagasundarapandian Soundrarajan South Korea 13 459 2.5× 145 1.4× 6 0.1× 74 1.5× 8 0.2× 30 623

Countries citing papers authored by Sérgio Oyama

Since Specialization
Citations

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

Fields of papers citing papers by Sérgio Oyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sérgio Oyama. 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 Oyama. The network helps show where Sérgio Oyama may publish in the future.

Co-authorship network of co-authors of Sérgio Oyama

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

All Works

15 of 15 papers shown
1.
Stehling, Eliana Guedes, Maurício L. Sforça, Nilson Ivo Tonin Zanchin, et al.. (2012). Looking over Toxin–K+ Channel Interactions. Clues from the Structural and Functional Characterization of α-KTx Toxin Tc32, a Kv1.3 Channel Blocker. Biochemistry. 51(9). 1885–1894. 18 indexed citations
2.
Ramos, Celso R., Alberto Spisni, Sérgio Oyama, et al.. (2008). Stability improvement of the fatty acid binding protein Sm14 from S. mansoni by Cys replacement: Structural and functional characterization of a vaccine candidate. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1794(4). 655–662. 26 indexed citations
3.
Fraceto, Leonardo Fernandes, Sérgio Oyama, Clóvis R. Nakaie, et al.. (2006). Interaction of local anesthetics with a peptide encompassing the IV/S4–S5 linker of the Na+ channel. Biophysical Chemistry. 123(1). 29–39. 11 indexed citations
4.
Nery, Flávia C., Gustavo Costa Bressan, Marcos Rodrigo Alborghetti, et al.. (2006). A spectroscopic analysis of the interaction between the human regulatory proteins RACK1 and Ki-1/57. Biological Chemistry. 387(5). 577–82. 9 indexed citations
5.
Oyama, Sérgio, et al.. (2006). Characterization of the human ortholog of Mov34 reveals eight N-terminal residues important for MPN domain stability. Biochemical and Biophysical Research Communications. 347(3). 608–615. 5 indexed citations
6.
Quaresma, Alexandre J.C., Sérgio Oyama, J.A.R.G. Barbosa, & Jörg Kobarg. (2006). The acidic domain of hnRNPQ (NSAP1) has structural similarity to Barstar and binds to Apobec1. Biochemical and Biophysical Research Communications. 350(2). 288–297. 12 indexed citations
7.
Martins, Rafael M., Maurício L. Sforça, Rogério Amino, et al.. (2006). Lytic Activity and Structural Differences of Amphipathic Peptides Derived from Trialysin,. Biochemistry. 45(6). 1765–1774. 28 indexed citations
8.
Oyama, Sérgio, Primož Pristovšek, Lorella Franzoni, et al.. (2005). Probing the pH‐dependent structural features of α‐KTx12.1, a potassium channel blocker from the scorpion Tityus serrulatus. Protein Science. 14(4). 1025–1038. 7 indexed citations
9.
Pinto, Luciana de Matos Alves, Leonardo Fernandes Fraceto, Maria Helena Andrade Santana, et al.. (2005). Physico-chemical characterization of benzocaine-β-cyclodextrin inclusion complexes. Journal of Pharmaceutical and Biomedical Analysis. 39(5). 956–963. 100 indexed citations
10.
Sforça, Maurício L., Alessandra Machado‐Lunkes, Sérgio Oyama, et al.. (2005). The Micelle-Bound Structure of an Antimicrobial Peptide Derived from the α-Chain of Bovine Hemoglobin Isolated from the TickBoophilus microplus. Biochemistry. 44(17). 6440–6451. 31 indexed citations
11.
Oyama, Sérgio, Thelma A. Pertinhez, Alberto Spisni, et al.. (2004). Modeling the Trypanosoma cruzi Tc85-11 protein and mapping the laminin-binding site. Biochemical and Biophysical Research Communications. 325(2). 612–618. 20 indexed citations
12.
Sforça, Maurício L., Sérgio Oyama, Fernanda Canduri, et al.. (2004). How C-Terminal Carboxyamidation Alters the Biological Activity of Peptides from the Venom of the Eumenine Solitary Wasp. Biochemistry. 43(19). 5608–5617. 89 indexed citations
13.
Kiyota, Sumika, Lorella Franzoni, Giuseppe Nicastro, et al.. (2003). Introduction of a Chemical Constraint in a Short Peptide Derived from Human Acidic Fibroblast Growth Factor Elicits Mitogenic Structural Determinants. Journal of Medicinal Chemistry. 46(12). 2325–2333. 17 indexed citations
14.
Oyama, Sérgio, et al.. (1996). Mitogenic activity of peptides related to the sequence of human Fibroblast Growth Factor-1. IUBMB Life. 39(6). 1237–1244. 4 indexed citations
15.
Oyama, Sérgio, et al.. (1994). Interactions of adenosine triphosphate with snake hemoglobins. Studies in Liophis miliaris, Boa constrictor and Bothrops alternatus. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 109(4). 701–707. 7 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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