Ieva Rauluševičiūtė

3.3k total citations · 1 hit paper
6 papers, 509 citations indexed

About

Ieva Rauluševičiūtė is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Information Systems and Management. According to data from OpenAlex, Ieva Rauluševičiūtė has authored 6 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Information Systems and Management. Recurrent topics in Ieva Rauluševičiūtė's work include Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (2 papers) and Prostate Cancer Treatment and Research (2 papers). Ieva Rauluševičiūtė is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (2 papers) and Prostate Cancer Treatment and Research (2 papers). Ieva Rauluševičiūtė collaborates with scholars based in Norway, United Kingdom and United States. Ieva Rauluševičiūtė's co-authors include Finn Drabløs, Morten Beck Rye, Boris Lenhard, Vipin Kumar, Aziz Khan, Roza Berhanu Lemma, Morten Johansen, Wyeth W. Wasserman, Sveinung Gundersen and Katalin Ferenc and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and International Journal of Molecular Sciences.

In The Last Decade

Ieva Rauluševičiūtė

6 papers receiving 504 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

JASPAR 2024: 20th anniversary of the open-access database of transcription factor binding profiles

2023 334 citations Ieva Rauluševičiūtė, Rafael Riudavets Puig et al. Nucleic Acids Research profile →

Author Peers

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

Author						Papers	Cites
Ieva Rauluševičiūtė	353	96	66	53	51	6	509
Rafael Riudavets Puig	284 0.8×	72 0.8×	51 0.8×	30 0.6×	52 1.0×	6	420
Roza Berhanu Lemma	280 0.8×	64 0.7×	43 0.7×	30 0.6×	48 0.9×	9	417
Sveinung Gundersen	325 0.9×	69 0.7×	70 1.1×	28 0.5×	57 1.1×	11	461
Dimas Yusuf	462 1.3×	73 0.8×	66 1.0×	38 0.7×	47 0.9×	14	612
Katalin Ferenc	257 0.7×	68 0.7×	48 0.7×	27 0.5×	56 1.1×	5	384
Semyon Kolmykov	384 1.1×	92 1.0×	78 1.2×	31 0.6×	18 0.4×	19	528
Christophe Battail	419 1.2×	37 0.4×	63 1.0×	50 0.9×	80 1.6×	26	592
Samuel R. Meier	408 1.2×	153 1.6×	60 0.9×	19 0.4×	59 1.2×	11	506
Phuc‐Loi Luu	695 2.0×	129 1.3×	154 2.3×	59 1.1×	43 0.8×	19	802
Stefan T. Börno	379 1.1×	71 0.7×	33 0.5×	44 0.8×	19 0.4×	15	480

Countries citing papers authored by Ieva Rauluševičiūtė

Since Specialization

Citations

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

Fields of papers citing papers by Ieva Rauluševičiūtė

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ieva Rauluševičiūtė

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

All Works

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6 of 6 papers shown

Rauluševičiūtė, Ieva, Guido Barzaghi, Boris Lenhard, et al.. (2024). Identification of transcription factor co-binding patterns with non-negative matrix factorization. Nucleic Acids Research. 52(18). e85–e85. 1 indexed citations

Ferenc, Katalin, et al.. (2024). Improving bioinformatics software quality through teamwork. Bioinformatics. 40(11). 1 indexed citations

Rauluševičiūtė, Ieva, Rafael Riudavets Puig, Romain Blanc‐Mathieu, et al.. (2023). JASPAR 2024: 20th anniversary of the open-access database of transcription factor binding profiles. Nucleic Acids Research. 52(D1). D174–D182. 334 indexed citations breakdown →

Daniūnaitė, Kristina, Arnas Bakavičius, Kristina Žukauskaitė, et al.. (2021). Promoter Methylation of PRKCB, ADAMTS12, and NAALAD2 Is Specific to Prostate Cancer and Predicts Biochemical Disease Recurrence. International Journal of Molecular Sciences. 22(11). 6091–6091. 16 indexed citations

Rauluševičiūtė, Ieva, Finn Drabløs, & Morten Beck Rye. (2020). DNA hypermethylation associated with upregulated gene expression in prostate cancer demonstrates the diversity of epigenetic regulation. BMC Medical Genomics. 13(1). 6–6. 91 indexed citations

Rauluševičiūtė, Ieva, Finn Drabløs, & Morten Beck Rye. (2019). DNA methylation data by sequencing: experimental approaches and recommendations for tools and pipelines for data analysis. Clinical Epigenetics. 11(1). 193–193. 66 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.

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