Ágnes Zsófia Kovács

67 total papers · 841 total citations
23 papers, 621 citations indexed

About

Ágnes Zsófia Kovács is a scholar working on Psychiatry and Mental health, Molecular Biology and Nephrology. According to data from OpenAlex, Ágnes Zsófia Kovács has authored 23 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Psychiatry and Mental health, 3 papers in Molecular Biology and 3 papers in Nephrology. Recurrent topics in Ágnes Zsófia Kovács's work include Neurological Complications and Syndromes (4 papers), Restless Legs Syndrome Research (3 papers) and Family Caregiving in Mental Illness (3 papers). Ágnes Zsófia Kovács is often cited by papers focused on Neurological Complications and Syndromes (4 papers), Restless Legs Syndrome Research (3 papers) and Family Caregiving in Mental Illness (3 papers). Ágnes Zsófia Kovács collaborates with scholars based in Hungary, United States and Canada. Ágnes Zsófia Kovács's co-authors include Márta Novák, Miklos Z. Molnar, István Mucsi, Lilla Szeifert, Eszter P. Vamos, Csaba Ambrus, András Keszei, Rezső Zoller, Ádám Remport and Maria E. Czira and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Psychosomatic Medicine.

In The Last Decade

Ágnes Zsófia Kovács

19 papers receiving 605 citations

Author Peers

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

Author						Papers	Cites
Ágnes Zsófia Kovács	167	154	120	111	109	23	621
Csaba Ambrus	217 1.3×	317 2.1×	131 1.1×	92 0.8×	132 1.2×	22	779
Rezső Zoller	131 0.8×	265 1.7×	111 0.9×	60 0.5×	65 0.6×	17	610
Christopher J. Deighan	404 2.4×	78 0.5×	59 0.5×	49 0.4×	27 0.2×	16	679
M. E. Edmunds	258 1.5×	78 0.5×	38 0.3×	62 0.6×	33 0.3×	34	784
Gerardo Machnicki	54 0.3×	67 0.4×	189 1.6×	127 1.1×	252 2.3×	42	787
Catherine Fillée	70 0.4×	48 0.3×	76 0.6×	14 0.1×	32 0.3×	31	675
Chie Yamamoto	84 0.5×	25 0.2×	72 0.6×	74 0.7×	17 0.2×	29	716
Federica Picariello	177 1.1×	52 0.3×	244 2.0×	36 0.3×	5 0.0×	30	573
Mina Matsuda‐Abedini	99 0.6×	60 0.4×	68 0.6×	42 0.4×	44 0.4×	26	612
Thomas R. McCune	63 0.4×	66 0.4×	55 0.5×	96 0.9×	184 1.7×	30	605

Countries citing papers authored by Ágnes Zsófia Kovács

Since Specialization

Citations

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

Fields of papers citing papers by Ágnes Zsófia Kovács

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ágnes Zsófia Kovács. 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 Ágnes Zsófia Kovács. The network helps show where Ágnes Zsófia Kovács may publish in the future.

Co-authorship network of co-authors of Ágnes Zsófia Kovács

This figure shows the co-authorship network connecting the top 25 collaborators of Ágnes Zsófia Kovács. A scholar is included among the top collaborators of Ágnes Zsófia Kovács 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 Ágnes Zsófia Kovács. Ágnes Zsófia Kovács 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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