Laima Ambrozaitytė

523 citations
38 papers · 313 indexed · h-index 10
Topics
Genomic variations and chromosomal abnormalities (9 papers)Genomics and Rare Diseases (6 papers)Mitochondrial Function and Pathology (4 papers)
Journals
SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismGene
Partner nations
LithuaniaGermanyEstonia

In The Last Decade

Laima Ambrozaitytė

36 papers receiving 310 citations

Peers

Laima Ambrozaitytė
Comparison fields: 5 of 61
  • Genetics 205
  • Molecular Biology 145
  • Pediatrics, Perinatology and Child Health 39
  • Genetics 38
  • Surgery 20
Replace Huanzheng Li with:
Huanzheng Li China
Vamsee Pillalamarri United States
Nicolas Chatron France
Jolien S. Klein Wassink‐Ruiter Netherlands
Esther Ganelin‐Cohen Israel
Peter Nüernberg Germany
Oddveig Røsby Norway
Kairit Joost Estonia
Nils Peeters Belgium
Haktan Bağış Erdem Türkiye
Laima Ambrozaitytė relative to Huanzheng Li China Huanzheng Li's profile →
Citations per field
00.5×4.2×
Huanzheng Li · 1×
Citations per year

Countries citing papers authored by Laima Ambrozaitytė

Since Specialization
Citations

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

Fields of papers citing papers by Laima Ambrozaitytė

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laima Ambrozaitytė

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 1
3 4
4 0
5 2
6 4
7 5
8 1
9 5
10 6
11 10
12 2
13 4
14 5
15 18
16 9
17 5
18 3
19 37
20 30

About Laima Ambrozaitytė

Laima Ambrozaitytė is a scholar working on Biological Psychiatry, Genetics and Sensory Systems, having authored 38 papers that have together received 313 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (9 papers), Genomics and Rare Diseases (6 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Genetics (205 citations), Sensory Systems (19 citations) and Genetics (38 citations). Laima Ambrozaitytė has collaborated with scholars based in Lithuania, Germany and Estonia. Frequent co-authors include Vaidutis Kučinskas, Algirdas Utkus, Aušra Matulevičienė, Mare Saag, Triin Jagomägi, Andres Metspalu, Tiit Nikopensius, Ilze Akota, Baiba Lāce and Astrīda Krūmiņa. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Gene.

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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