Carlos H.I. Ramos

5.1k total citations
145 papers, 3.5k citations indexed

About

Carlos H.I. Ramos is a scholar working on Molecular Biology, Materials Chemistry and Cell Biology. According to data from OpenAlex, Carlos H.I. Ramos has authored 145 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Molecular Biology, 25 papers in Materials Chemistry and 18 papers in Cell Biology. Recurrent topics in Carlos H.I. Ramos's work include Heat shock proteins research (62 papers), Protein Structure and Dynamics (41 papers) and Enzyme Structure and Function (24 papers). Carlos H.I. Ramos is often cited by papers focused on Heat shock proteins research (62 papers), Protein Structure and Dynamics (41 papers) and Enzyme Structure and Function (24 papers). Carlos H.I. Ramos collaborates with scholars based in Brazil, United States and Canada. Carlos H.I. Ramos's co-authors include Júlio C. Borges, Robert L. Baldwin, Douglas Cyr, Chuck S. Farah, Lisandra M. Gava, Ana O. Tiroli‐Cepeda, Marcos C. Alegria, Cássia Docena, Leandro R.S. Barbosa and Fernando C. Reinach and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Carlos H.I. Ramos

142 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos H.I. Ramos Brazil 32 2.6k 413 411 397 300 145 3.5k
John M. Tomich United States 44 3.6k 1.4× 397 1.0× 360 0.9× 292 0.7× 174 0.6× 151 5.5k
Heiko Heerklotz Canada 40 3.9k 1.5× 262 0.6× 472 1.1× 250 0.6× 63 0.2× 108 5.2k
F. Niesen United Kingdom 19 2.7k 1.0× 148 0.4× 401 1.0× 443 1.1× 85 0.3× 25 3.5k
Thallapuranam Krishnaswamy Suresh Kumar United States 32 2.3k 0.9× 173 0.4× 358 0.9× 407 1.0× 134 0.4× 174 3.4k
Rainer Cramer United Kingdom 41 3.1k 1.2× 694 1.7× 682 1.7× 189 0.5× 66 0.2× 136 5.3k
Chwan‐Deng Hsiao Taiwan 33 2.8k 1.1× 281 0.7× 335 0.8× 442 1.1× 78 0.3× 101 4.1k
Lanette Fee United States 10 2.9k 1.1× 231 0.6× 358 0.9× 717 1.8× 53 0.2× 12 4.0k
Swati Jain United States 18 2.9k 1.1× 209 0.5× 270 0.7× 552 1.4× 144 0.5× 60 4.2k
Lee Whitmore United Kingdom 13 3.5k 1.3× 330 0.8× 344 0.8× 638 1.6× 77 0.3× 21 5.3k
Xuejun C. Zhang China 38 2.5k 0.9× 236 0.6× 520 1.3× 200 0.5× 257 0.9× 108 4.4k

Countries citing papers authored by Carlos H.I. Ramos

Since Specialization
Citations

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

Fields of papers citing papers by Carlos H.I. Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos H.I. Ramos. 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 Carlos H.I. Ramos. The network helps show where Carlos H.I. Ramos may publish in the future.

Co-authorship network of co-authors of Carlos H.I. Ramos

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos H.I. Ramos. A scholar is included among the top collaborators of Carlos H.I. Ramos 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 Carlos H.I. Ramos. Carlos H.I. Ramos 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.
Melo, Ricardo Rodrigues de, Vinícius M. de Oliveira, E.A. Lima, et al.. (2024). Thermoascus aurantiacus harbors an esterase/lipase that is highly activated by anionic surfactant. Biochemical and Biophysical Research Communications. 733. 150572–150572. 1 indexed citations
2.
Tiroli‐Cepeda, Ana O., Jemmyson Romário de Jesus, Ana Paula Wasilewska‐Sampaio, et al.. (2024). Type I Hsp40s/ DnaJs aggregates exhibit features reminiscent of amyloidogenic structures. FEBS Journal. 291(17). 3904–3923. 1 indexed citations
3.
Silva, Ana Beatriz, et al.. (2024). Optimizing the performance of single-cell ICP-MS/MS for Fe and Zn determination in human umbilical vascular endothelial cells. Microchemical Journal. 202. 110696–110696. 2 indexed citations
4.
5.
Barbosa, Leandro R.S., et al.. (2020). Heat shock protein 90 kDa (Hsp90) from Aedes aegypti has an open conformation and is expressed under heat stress. International Journal of Biological Macromolecules. 156. 522–530. 4 indexed citations
7.
Batista, Fernanda Aparecida Heleno, Fábio Rogério de Moraes, Fernando A. Melo, et al.. (2019). Thermodynamic analysis of interactions of the Hsp90 with adenosine nucleotides: A comparative perspective. International Journal of Biological Macromolecules. 130. 125–138. 13 indexed citations
9.
Batista, Fernanda Aparecida Heleno, Thiago Vargas Seraphim, Clelton A. Santos, et al.. (2016). Low sequence identity but high structural and functional conservation: The case of Hsp70/Hsp90 organizing protein (Hop/Sti1) of Leishmania braziliensis. Archives of Biochemistry and Biophysics. 600. 12–22. 10 indexed citations
10.
Batista, Fernanda Aparecida Heleno, et al.. (2015). From Conformation to Interaction: Techniques to Explore the Hsp70/ Hsp90 Network. Current Protein and Peptide Science. 16(8). 735–753. 23 indexed citations
11.
Costa, Danielly C. Ferraz da, et al.. (2014). Resveratrol prevents p53 core domain aggregation (754.1). The FASEB Journal. 28(S1). 1 indexed citations
12.
Gava, Lisandra M., Danieli Cristina Gonçalves, Júlio C. Borges, & Carlos H.I. Ramos. (2011). Stoichiometry and thermodynamics of the interaction between the C-terminus of human 90kDa heat shock protein Hsp90 and the mitochondrial translocase of outer membrane Tom70. Archives of Biochemistry and Biophysics. 513(2). 119–125. 15 indexed citations
13.
Ramos, Carlos H.I., et al.. (2009). The use of circular dichroism spectroscopy to study protein folding, form and function. African Journal of Biochemistry Research. 3(5). 164–173. 186 indexed citations
14.
Caceres, Rafael Andrade, Júlio C. Borges, João Ruggiero Neto, et al.. (2008). Structural studies of prephenate dehydratase from Mycobacterium tuberculosis H37Rv by SAXS, ultracentrifugation, and computational analysis. Proteins Structure Function and Bioinformatics. 72(4). 1352–1362. 7 indexed citations
15.
Andrade, Maxuel O., Marcos C. Alegria, Cássia Docena, et al.. (2007). The HD-GYP domain of RpfG mediates a direct linkage between the Rpf quorum-sensing pathway and a subset of diguanylate cyclase proteins in the phytopathogen Xanthomonas axonopodis pv citri. Abstracts. 2 indexed citations
16.
Andrade, Maxuel O., Marcos C. Alegria, Cristiane Rodrigues Guzzo, et al.. (2006). The HD‐GYP domain of RpfG mediates a direct linkage between the Rpf quorum‐sensing pathway and a subset of diguanylate cyclase proteins in the phytopathogen Xanthomonas axonopodis pv citri. Molecular Microbiology. 62(2). 537–551. 108 indexed citations
17.
Sebollela, Adriano, Alex Chapeaurouge, Marcos Henrique Ferreira Sorgine, et al.. (2005). Heparin-binding Sites in Granulocyte-Macrophage Colony-stimulating Factor. Journal of Biological Chemistry. 280(36). 31949–31956. 36 indexed citations
19.
Ramos, Carlos H.I.. (1999). Mapping Subdomains in the C-terminal Region of Troponin I Involved in Its Binding to Troponin C and to Thin Filament. Journal of Biological Chemistry. 274(26). 18189–18195. 51 indexed citations
20.
Miyazaki, Alberto Naoki, et al.. (1998). Pseudartrose do colo do umero: analise dos resultados do tratamento. Revista Brasileira de Ortopedia (English Edition). 33(9). 677–684.

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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