Nada Čikeš

175 total papers · 995 total citations
54 papers, 573 citations indexed

About

Nada Čikeš is a scholar working on Rheumatology, Immunology and Molecular Biology. According to data from OpenAlex, Nada Čikeš has authored 54 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Rheumatology, 12 papers in Immunology and 10 papers in Molecular Biology. Recurrent topics in Nada Čikeš's work include Systemic Lupus Erythematosus Research (20 papers), Systemic Sclerosis and Related Diseases (9 papers) and Musculoskeletal Disorders and Rehabilitation (6 papers). Nada Čikeš is often cited by papers focused on Systemic Lupus Erythematosus Research (20 papers), Systemic Sclerosis and Related Diseases (9 papers) and Musculoskeletal Disorders and Rehabilitation (6 papers). Nada Čikeš collaborates with scholars based in Croatia, United States and Austria. Nada Čikeš's co-authors include Blaž Rozman, Marzena Olesińska, A. J. G. Swaak, Emese Kiss, V A Nassonova, Johannes C. Nossent, Panayiotis G. Vlachoyiannopoulos, G Pokorny, Marta Mosca and Matthias Schneider and has published in prestigious journals such as The American Journal of Medicine, European Respiratory Journal and Annals of the Rheumatic Diseases.

In The Last Decade

Nada Čikeš

46 papers receiving 555 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nada Čikeš	301	173	110	82	72	54	573
Elaine Pires Leon	386 1.3×	252 1.5×	119 1.1×	29 0.4×	119 1.7×	37	653
Tomohiro Kameda	192 0.6×	92 0.5×	121 1.1×	123 1.5×	29 0.4×	64	544
Shoichiro Irimajiri	299 1.0×	129 0.7×	88 0.8×	25 0.3×	54 0.8×	51	641
Shoji Sugii	222 0.7×	94 0.5×	51 0.5×	43 0.5×	51 0.7×	34	504
Radjiv Goulabchand	177 0.6×	158 0.9×	220 2.0×	34 0.4×	57 0.8×	49	602
Masahiro Ayano	186 0.6×	235 1.4×	79 0.7×	54 0.7×	31 0.4×	39	524
João Correia	231 0.8×	186 1.1×	110 1.0×	39 0.5×	23 0.3×	37	595
Tim Holbrook	131 0.4×	141 0.8×	93 0.8×	39 0.5×	117 1.6×	36	633
Evandro Mendes Klumb	369 1.2×	221 1.3×	79 0.7×	48 0.6×	35 0.5×	53	640
Hughes Gr	534 1.8×	151 0.9×	115 1.0×	101 1.2×	110 1.5×	32	660

Countries citing papers authored by Nada Čikeš

Since Specialization

Citations

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

Fields of papers citing papers by Nada Čikeš

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nada Čikeš

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

All Works

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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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