This map shows the geographic impact of B. Butkutė'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 B. Butkutė with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Butkutė more than expected).
This network shows the impact of papers produced by B. Butkutė. 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 B. Butkutė. The network helps show where B. Butkutė may publish in the future.
Co-authorship network of co-authors of B. Butkutė
This figure shows the co-authorship network connecting the top 25 collaborators of B. Butkutė.
A scholar is included among the top collaborators of B. Butkutė 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 B. Butkutė. B. Butkutė is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Butkutė, B., et al.. (2012). Distribution of formononetin, daidzein and genistein in Trifolium species and their aerial plant parts. Chemija. 23(4). 306–311.14 indexed citations
8.
Butkutė, B., et al.. (2011). Evaluation of tall fescue (Festuca arundinacea Schreb.) varieties and wild ecotypes as feedstock for biogas production.. Zemdirbyste-Agriculture. 98(2). 149–156.6 indexed citations
9.
Mankevičienè, Audroné, B. Butkutė, & Zenonas Dabkevičius. (2011). Peculiarities of cereal grain co-contamination with Fusarium mycotoxins.. Zemdirbyste-Agriculture. 98(4). 415–420.8 indexed citations
10.
Butkutė, B., et al.. (2011). Comparison of productivity and forage quality of cocsfoot (Dactylis glomerata L.), tall fescue (Festuca arundinacea Schreb.) and red canary grass (Phalaris arundinacea L.).. 41–50.2 indexed citations
11.
Butkutė, B., et al.. (2011). Screening of the accessions of tall perennial grass species as feasible energy crops for biomethane production.. Journal of Food Agriculture & Environment. 9. 941–946.3 indexed citations
12.
Butkutė, B.. (2010). Quality of silages of different origin and variation of fibre components.. 8–16.2 indexed citations
13.
Butkutė, B., et al.. (2009). Varieties, breeding lines and ecotypes of cocksfoot (Dactylis glomerata L.) that are the most suitable for biogas production.. Zemdirbyste-Agriculture. 96(3). 36–46.1 indexed citations
14.
Butkutė, B., et al.. (2009). A consideration of auxin physiological analogues affecting the seed yield and quality of oilseed rape (Brassica napus L.).. 16–21.1 indexed citations
15.
Butkutė, B., et al.. (2008). Quality of timothy (Phleum pratense L.) and causality of its variation.. 471–473.2 indexed citations
Butkutė, B., A. Lüscher, B. Jeangros, et al.. (2004). Changes in the quality of some Lithuanian grasses as affected by cutting time in spring.. 909–911.2 indexed citations
18.
Butkutė, B., et al.. (2001). Impact of different agronomic factors on the seed quality of spring oilseed rape cv. Star. Zeszyty Naukowe Akademii Rolniczej w Krakowie. Sesja Naukowa. 77.1 indexed citations
19.
Butkutė, B., et al.. (2000). Accumulation of glucosinolates in the seed of spring oilseed rape (Brassica napus L.).. Sodininkystė ir Daržininkystė. 19. 294–305.2 indexed citations
20.
Butkutė, B. & A. V. Konarev. (1980). Immunochemical investigation of seed proteins of Lolium in relation to the phenology of this genus.. БОТАНИЧЕСКИЙ ЖУРНАЛ. 65(10). 1453–1458.3 indexed citations
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.