Donatas Stakišaitis

78 total papers · 419 total citations
43 papers, 320 citations indexed

About

Donatas Stakišaitis is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, Donatas Stakišaitis has authored 43 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 10 papers in Pediatrics, Perinatology and Child Health and 8 papers in Genetics. Recurrent topics in Donatas Stakišaitis's work include Histone Deacetylase Inhibitors Research (12 papers), Pharmacological Effects and Toxicity Studies (8 papers) and Epigenetics and DNA Methylation (8 papers). Donatas Stakišaitis is often cited by papers focused on Histone Deacetylase Inhibitors Research (12 papers), Pharmacological Effects and Toxicity Studies (8 papers) and Epigenetics and DNA Methylation (8 papers). Donatas Stakišaitis collaborates with scholars based in Lithuania, Spain and Italy. Donatas Stakišaitis's co-authors include Rimantas Benetis, Marta M. Alonso, Janina Didžiapetrienė, Marina Tschaika, Vaiva Lesauskaitė, Vita Lesauskaitė, Daniel Batlle, Michael S. LaPointe, Albertas Ulys and Paola Baiardi and has published in prestigious journals such as International Journal of Molecular Sciences, American Journal of Physiology-Renal Physiology and BioMed Research International.

In The Last Decade

Donatas Stakišaitis

42 papers receiving 311 citations

Author Peers

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

Author						Papers	Cites
Donatas Stakišaitis	101	69	57	45	41	43	320
Bekir Öztürk	53 0.5×	39 0.6×	66 1.2×	24 0.5×	14 0.3×	27	349
Kyoung‐Jin Park	119 1.2×	39 0.6×	36 0.6×	16 0.4×	13 0.3×	37	348
Jo‐Fen Liu	72 0.7×	61 0.9×	39 0.7×	42 0.9×	67 1.6×	35	349
Mohammad Al-Haggar	87 0.9×	81 1.2×	27 0.5×	37 0.8×	25 0.6×	47	328
Minako Sugiyama	130 1.3×	34 0.5×	27 0.5×	21 0.5×	33 0.8×	34	351
Rolf P. Zurbrügg	122 1.2×	52 0.8×	35 0.6×	36 0.8×	18 0.4×	25	300
Chittibabu Vatte	83 0.8×	16 0.2×	28 0.5×	18 0.4×	47 1.1×	36	272
Ramazan Esen	53 0.5×	17 0.2×	32 0.6×	25 0.6×	37 0.9×	31	335
Lin Tang	156 1.5×	33 0.5×	34 0.6×	24 0.5×	11 0.3×	31	364
Jiefeng Luo	112 1.1×	22 0.3×	34 0.6×	32 0.7×	34 0.8×	33	328

Countries citing papers authored by Donatas Stakišaitis

Since Specialization

Citations

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

Fields of papers citing papers by Donatas Stakišaitis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donatas Stakišaitis

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