Csaba I. Tímár

931 total citations
9 papers, 746 citations indexed

About

Csaba I. Tímár is a scholar working on Molecular Biology, Immunology and Microbiology. According to data from OpenAlex, Csaba I. Tímár has authored 9 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and 2 papers in Microbiology. Recurrent topics in Csaba I. Tímár's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Extracellular vesicles in disease (5 papers) and Cell Adhesion Molecules Research (2 papers). Csaba I. Tímár is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Extracellular vesicles in disease (5 papers) and Cell Adhesion Molecules Research (2 papers). Csaba I. Tímár collaborates with scholars based in Hungary, United States and Czechia. Csaba I. Tímár's co-authors include Erzsébet Ligeti, Ákos M. Lőrincz, Ágnes Kittel, Balázs Rada, Dániel Sándor Veres, Miklós Geiszt, Krisztina Káldi, Lilla Otrokocsi, Kenneth R. McLeish and Edit I. Buzás and has published in prestigious journals such as Blood, PLoS ONE and Journal of Leukocyte Biology.

In The Last Decade

Csaba I. Tímár

9 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Csaba I. Tímár Hungary	9	521	297	156	75	70	9	746
Ákos M. Lőrincz Hungary	12	542 1.0×	232 0.8×	170 1.1×	95 1.3×	78 1.1×	15	698
Diana Llópiz Spain	19	351 0.7×	700 2.4×	90 0.6×	24 0.3×	40 0.6×	34	1.2k
Myung‐Shin Lee South Korea	18	513 1.0×	183 0.6×	218 1.4×	23 0.3×	32 0.5×	76	945
Sofia V. Gearty United States	5	276 0.5×	563 1.9×	45 0.3×	58 0.8×	44 0.6×	6	1.1k
Haidar Al Saffar Australia	6	1.2k 2.3×	177 0.6×	647 4.1×	57 0.8×	101 1.4×	9	1.3k
Kening Zhao Australia	6	1.2k 2.2×	178 0.6×	608 3.9×	54 0.7×	102 1.5×	8	1.4k
Jorge Schettini United States	13	299 0.6×	340 1.1×	66 0.4×	22 0.3×	21 0.3×	14	686
Mingxia Sun China	17	241 0.5×	198 0.7×	161 1.0×	44 0.6×	14 0.2×	45	958
Georgia K. Atkin‐Smith Australia	12	893 1.7×	478 1.6×	348 2.2×	39 0.5×	87 1.2×	16	1.1k
S J Suchard United States	13	374 0.7×	161 0.5×	142 0.9×	155 2.1×	15 0.2×	17	705

Countries citing papers authored by Csaba I. Tímár

Since Specialization

Citations

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

Fields of papers citing papers by Csaba I. Tímár

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Csaba I. Tímár

This figure shows the co-authorship network connecting the top 25 collaborators of Csaba I. Tímár. A scholar is included among the top collaborators of Csaba I. Tímár 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 I. Tímár. Csaba I. Tímár 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

Tímár, Csaba I., et al.. (2020). The Functional Heterogeneity of Neutrophil-Derived Extracellular Vesicles Reflects the Status of the Parent Cell. Cells. 9(12). 2718–2718. 60 indexed citations

Lőrincz, Ákos M., Csaba I. Tímár, Lilla Turiák, et al.. (2019). Role of Mac‐1 integrin in generation of extracellular vesicles with antibacterial capacity from neutrophilic granulocytes. Journal of Extracellular Vesicles. 9(1). 1698889–1698889. 24 indexed citations

Lőrincz, Ákos M., Csaba I. Tímár, Dániel Sándor Veres, et al.. (2015). Functionally and morphologically distinct populations of extracellular vesicles produced by human neutrophilic granulocytes. Journal of Leukocyte Biology. 98(4). 583–589. 32 indexed citations

Jani, Péter K., Erika Kajdácsi, Márton Megyeri, et al.. (2014). MASP-1 Induces a Unique Cytokine Pattern in Endothelial Cells: A Novel Link between Complement System and Neutrophil Granulocytes. PLoS ONE. 9(1). e87104–e87104. 43 indexed citations

Lőrincz, Ákos M., Csaba I. Tímár, Dániel Sándor Veres, et al.. (2014). Effect of storage on physical and functional properties of extracellular vesicles derived from neutrophilic granulocytes. Journal of Extracellular Vesicles. 3(1). 25465–25465. 192 indexed citations

Tímár, Csaba I., Ákos M. Lőrincz, & Erzsébet Ligeti. (2013). Changing world of neutrophils. Pflügers Archiv - European Journal of Physiology. 465(11). 1521–1533. 23 indexed citations

Tímár, Csaba I., Ákos M. Lőrincz, Roland Csépányi‐Kömi, et al.. (2012). Antibacterial effect of microvesicles released from human neutrophilic granulocytes. Blood. 121(3). 510–518. 170 indexed citations

Rada, Balázs, et al.. (2008). Role of Nox2 in elimination of microorganisms. Seminars in Immunopathology. 30(3). 237–253. 66 indexed citations

Rada, Balázs, Miklós Geiszt, Krisztina Káldi, Csaba I. Tímár, & Erzsébet Ligeti. (2004). Dual role of phagocytic NADPH oxidase in bacterial killing. Blood. 104(9). 2947–2953. 136 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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