Gréta Kis

30 total papers · 552 total citations
23 papers, 451 citations indexed

About

Gréta Kis is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Gréta Kis has authored 23 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Gréta Kis's work include Pain Mechanisms and Treatments (6 papers), PARP inhibition in cancer therapy (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Gréta Kis is often cited by papers focused on Pain Mechanisms and Treatments (6 papers), PARP inhibition in cancer therapy (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Gréta Kis collaborates with scholars based in Hungary, United States and Germany. Gréta Kis's co-authors include Miklós Antal, Krisztina Holló, Zoltán Hegyi, Péter Bai, Lilla Nagy, Catherine Ledent, András Vida, Judit Márton, Krisztina Hegedűs and L Jankó and has published in prestigious journals such as PLoS ONE, The Journal of Comparative Neurology and Biophysical Journal.

In The Last Decade

Gréta Kis

23 papers receiving 448 citations

Author Peers

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

Author						Papers	Cites
Gréta Kis	180	100	96	88	81	23	451
María Asunción Barreda-Manso	216 1.2×	104 1.0×	99 1.0×	78 0.9×	107 1.3×	18	505
Hidetoshi Taniguchi	234 1.3×	40 0.4×	99 1.0×	40 0.5×	72 0.9×	19	546
Chuen‐Lin Huang	223 1.2×	118 1.2×	66 0.7×	30 0.3×	34 0.4×	22	530
Tracy Nguyen	165 0.9×	101 1.0×	53 0.6×	24 0.3×	83 1.0×	18	540
Emily Brook	140 0.8×	28 0.3×	89 0.9×	112 1.3×	49 0.6×	15	506
Shuang Zhao	126 0.7×	55 0.6×	125 1.3×	76 0.9×	51 0.6×	39	456
Kateryna Sopova	117 0.7×	35 0.3×	153 1.6×	55 0.6×	29 0.4×	30	493
Eva del Valle	262 1.5×	61 0.6×	182 1.9×	51 0.6×	24 0.3×	29	542
Meeyul Hwang	222 1.2×	81 0.8×	72 0.8×	28 0.3×	33 0.4×	30	501
Elizabeth Snella	120 0.7×	42 0.4×	178 1.9×	17 0.2×	94 1.2×	25	428

Countries citing papers authored by Gréta Kis

Since Specialization

Citations

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

Fields of papers citing papers by Gréta Kis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gréta Kis

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