Csaba Böde

721 total citations
9 papers, 561 citations indexed

About

Csaba Böde is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cell Biology. According to data from OpenAlex, Csaba Böde has authored 9 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Cell Biology. Recurrent topics in Csaba Böde's work include Bioinformatics and Genomic Networks (4 papers), Protein Structure and Dynamics (3 papers) and Heat shock proteins research (3 papers). Csaba Böde is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Protein Structure and Dynamics (3 papers) and Heat shock proteins research (3 papers). Csaba Böde collaborates with scholars based in Hungary, Belgium and Ukraine. Csaba Böde's co-authors include Péter Csermely, Tamás Korcsmáros, Máté Szalay, I. Kovács, Robin Palotai, Miklós Antal, Judit Fidy, Sergiy Avilov, Illés J. Farkas and Tibor Vellai and has published in prestigious journals such as Bioinformatics, Journal of Molecular Biology and Biochemical Journal.

In The Last Decade

Csaba Böde

9 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Csaba Böde Hungary	8	446	151	71	52	39	9	561
Martin Almlöf Sweden	6	411 0.9×	170 1.1×	79 1.1×	20 0.4×	56 1.4×	9	537
Kate A. Stafford United States	13	350 0.8×	61 0.4×	120 1.7×	24 0.5×	47 1.2×	16	550
Marta Amaral Germany	7	411 0.9×	205 1.4×	86 1.2×	20 0.4×	57 1.5×	8	629
Sonya M. Hanson United States	14	337 0.8×	63 0.4×	57 0.8×	42 0.8×	19 0.5×	32	564
Henrik Keränen Sweden	10	313 0.7×	107 0.7×	50 0.7×	19 0.4×	48 1.2×	10	420
Jennifer M. Bui Canada	13	418 0.9×	102 0.7×	103 1.5×	44 0.8×	48 1.2×	26	540
William Sinko United States	13	797 1.8×	244 1.6×	155 2.2×	47 0.9×	98 2.5×	19	1.0k
Marc Bianciotto France	10	351 0.8×	194 1.3×	110 1.5×	27 0.5×	72 1.8×	16	468
Valentina Cappelletti Switzerland	8	705 1.6×	62 0.4×	90 1.3×	105 2.0×	36 0.9×	12	963
Antonella Paladino Italy	14	412 0.9×	52 0.3×	59 0.8×	41 0.8×	48 1.2×	36	589

Countries citing papers authored by Csaba Böde

Since Specialization

Citations

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

Fields of papers citing papers by Csaba Böde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Csaba Böde

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

All Works

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9 of 9 papers shown

Korcsmáros, Tamás, Illés J. Farkas, Máté Szalay, et al.. (2010). Uniformly curated signaling pathways reveal tissue-specific cross-talks and support drug target discovery. Bioinformatics. 26(16). 2042–2050. 57 indexed citations

Engelsman, John den, Sándor Boros, Patricia Y. W. Dankers, et al.. (2009). The Small Heat-Shock Proteins HSPB2 and HSPB3 Form Well-defined Heterooligomers in a Unique 3 to 1 Subunit Ratio. Journal of Molecular Biology. 393(5). 1022–1032. 42 indexed citations

Antal, Miklós, Csaba Böde, & Péter Csermely. (2009). Perturbation Waves in Proteins and Protein Networks: Applications of Percolation and Game Theories in Signaling and Drug Design. Current Protein and Peptide Science. 10(2). 161–172. 48 indexed citations

Szalay, Máté, I. Kovács, Tamás Korcsmáros, Csaba Böde, & Péter Csermely. (2007). Stress‐induced rearrangements of cellular networks: Consequences for protection and drug design. FEBS Letters. 581(19). 3675–3680. 59 indexed citations

Böde, Csaba, I. Kovács, Máté Szalay, et al.. (2007). Network analysis of protein dynamics. FEBS Letters. 581(15). 2776–2782. 183 indexed citations

Korcsmáros, Tamás, Máté Szalay, Csaba Böde, I. Kovács, & Péter Csermely. (2007). How to design multi-target drugs. Expert Opinion on Drug Discovery. 2(6). 799–808. 131 indexed citations

Avilov, Sergiy, et al.. (2005). Temperature effects on α-crystallin structure probed by 6-bromomethyl-2-(2-furanyl)-3-hydroxychromone, an environmentally sensitive two-wavelength fluorescent dye covalently attached to the single Cys residue. International Journal of Biological Macromolecules. 36(5). 290–298. 19 indexed citations

Böde, Csaba, et al.. (2003). Chaperone-like activity of alpha-crystallin is enhanced by high-pressure treatment. Biochemical Journal. 370(3). 859–866. 16 indexed citations

Smeller, László, et al.. (2002). From Aggregation to Chaperoning: Pressure Effect on Intermolecular Interactions of Proteins. High Pressure Research. 22(3-4). 751–756. 6 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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