János Nagy

64 total papers · 488 total citations
35 papers, 351 citations indexed

About

János Nagy is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Biomedical Engineering. According to data from OpenAlex, János Nagy has authored 35 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Biomedical Engineering. Recurrent topics in János Nagy's work include Nutritional Studies and Diet (4 papers), Liver physiology and pathology (3 papers) and TGF-β signaling in diseases (3 papers). János Nagy is often cited by papers focused on Nutritional Studies and Diet (4 papers), Liver physiology and pathology (3 papers) and TGF-β signaling in diseases (3 papers). János Nagy collaborates with scholars based in Hungary, United States and United Kingdom. János Nagy's co-authors include Huba Kalász, James I. Salach, Emil Mincsovics, Ernő Tyihák, Miklós Pakurár, József Popp, Judit Oláh, Hossam Haddad, Arnie Purushotham and Csaba Rácz and has published in prestigious journals such as Bioresource Technology, Annals of the New York Academy of Sciences and Journal of Chromatography A.

In The Last Decade

János Nagy

30 papers receiving 322 citations

Author Peers

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

Author						Papers	Cites
János Nagy	112	64	42	40	35	35	351
Yili Chen	88 0.8×	13 0.2×	8 0.2×	33 0.8×	9 0.3×	36	327
Roger Slater	96 0.9×	16 0.3×	8 0.2×	10 0.3×	18 0.5×	14	337
Esther F. Schmid	99 0.9×	14 0.2×	3 0.1×	21 0.5×	34 1.0×	19	385
Karthik M. Sundaram	97 0.9×	12 0.2×	1 0.0×	31 0.8×	18 0.5×	44	397
Ronald Orth	93 0.8×	27 0.4×	4 0.1×	17 0.4×	79 2.3×	32	337
Balakrishna Hosmane	79 0.7×	9 0.1×	6 0.1×	3 0.1×	7 0.2×	33	384
Jinghong Zhou	100 0.9×	19 0.3×	3 0.1×	31 0.8×	6 0.2×	17	309
Zafar Iqbal	160 1.4×	25 0.4×	24 0.6×	26 0.7×		21	340
Xinge Cui	229 2.0×	58 0.9×	16 0.4×	15 0.4×		26	341
Nicolas Aubert	28 0.3×	7 0.1×	8 0.2×	5 0.1×	80 2.3×	31	318

Countries citing papers authored by János Nagy

Since Specialization

Citations

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

Fields of papers citing papers by János Nagy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of János Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of János Nagy. A scholar is included among the top collaborators of János Nagy 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 János Nagy. János Nagy 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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