Arvydas Laurinavičius

2.9k total citations
105 papers, 1.8k citations indexed

About

Arvydas Laurinavičius is a scholar working on Artificial Intelligence, Oncology and Molecular Biology. According to data from OpenAlex, Arvydas Laurinavičius has authored 105 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 28 papers in Oncology and 25 papers in Molecular Biology. Recurrent topics in Arvydas Laurinavičius's work include AI in cancer detection (33 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Renal Diseases and Glomerulopathies (10 papers). Arvydas Laurinavičius is often cited by papers focused on AI in cancer detection (33 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Renal Diseases and Glomerulopathies (10 papers). Arvydas Laurinavičius collaborates with scholars based in Lithuania, France and United Kingdom. Arvydas Laurinavičius's co-authors include Aida Laurinavičienė, Helmut G. Rennke, Shelley Hurwitz, Darius Dasevičius, Benoît Plancoulaine, Paulette Herlin, Sonata Jarmalaitė, Justinas Besusparis, Juozas Rimantas Lazutka and Valerijus Ostapenko and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Arvydas Laurinavičius

97 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arvydas Laurinavičius Lithuania 25 498 438 397 335 323 105 1.8k
William D. Wallace United States 26 560 1.1× 360 0.8× 345 0.9× 160 0.5× 237 0.7× 91 2.8k
José A. Gómez Canada 24 556 1.1× 236 0.5× 232 0.6× 101 0.3× 259 0.8× 81 2.1k
Mohamed E. Salama United States 31 1.2k 2.4× 313 0.7× 611 1.5× 328 1.0× 292 0.9× 135 3.1k
Anna Crescenzi Italy 34 454 0.9× 81 0.2× 520 1.3× 95 0.3× 650 2.0× 134 5.5k
Masayuki Tsuneki Japan 22 276 0.6× 524 1.2× 386 1.0× 113 0.3× 439 1.4× 51 1.5k
Fredrik Erlandsson Sweden 18 759 1.5× 78 0.2× 255 0.6× 96 0.3× 131 0.4× 36 1.5k
Meiyun Wang China 21 280 0.6× 422 1.0× 392 1.0× 270 0.8× 1.7k 5.1× 52 2.6k
Jörg Kriegsmann Germany 33 1.4k 2.8× 49 0.1× 588 1.5× 361 1.1× 206 0.6× 116 3.5k
Georgios Z. Papadakis United States 20 124 0.2× 252 0.6× 312 0.8× 137 0.4× 582 1.8× 83 1.6k
Christian D. Fankhauser Switzerland 22 452 0.9× 250 0.6× 280 0.7× 161 0.5× 296 0.9× 141 2.0k

Countries citing papers authored by Arvydas Laurinavičius

Since Specialization
Citations

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

Fields of papers citing papers by Arvydas Laurinavičius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvydas Laurinavičius

This figure shows the co-authorship network connecting the top 25 collaborators of Arvydas Laurinavičius. A scholar is included among the top collaborators of Arvydas Laurinavičius 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 Arvydas Laurinavičius. Arvydas Laurinavičius 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
1.
Savige, Judy, et al.. (2025). Lithuanian Study on COL4A3 and COL4A4 Genetic Variants in Alport Syndrome: Clinical Characterization of 52 Individuals from 38 Families. International Journal of Molecular Sciences. 26(15). 7639–7639.
2.
Rasmusson, Allan G., et al.. (2024). Intratumoral heterogeneity of Ki67 proliferation index outperforms conventional immunohistochemistry prognostic factors in estrogen receptor-positive HER2-negative breast cancer. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 486(2). 287–298. 4 indexed citations
3.
4.
5.
Baušys, Augustinas, et al.. (2024). The Impact of Chemotherapy and Transforming Growth Factor-β1 in Liver Regeneration after Hepatectomy among Colorectal Cancer Patients. Journal of Personalized Medicine. 14(2). 144–144. 2 indexed citations
6.
Rasmusson, Allan G., et al.. (2023). Improving HCC Prognostic Models after Liver Resection by AI-Extracted Tissue Fiber Framework Analytics. Cancers. 16(1). 106–106. 1 indexed citations
7.
Dulskas, Audrius, Tomas Poškus, Aušvydas Patašius, et al.. (2021). National Colorectal Cancer Screening Program in Lithuania: Description of the 5-Year Performance on Population Level. Cancers. 13(5). 1129–1129. 4 indexed citations
8.
Šablinskas, Valdas, et al.. (2020). Fiber attenuated total reflection infrared spectroscopy of kidney tissue during live surgery. Journal of Biophotonics. 13(7). e202000018–e202000018. 7 indexed citations
9.
Šileikienė, Virginija, et al.. (2019). Levels of CD4+ CD25+ T Regulatory Cells in Bronchial Mucosa and Peripheral Blood of Chronic Obstructive Pulmonary Disease Indicate Involvement of Autoimmunity Mechanisms. Advances in respiratory medicine. 87(3). 159–166. 12 indexed citations
10.
Rasmusson, Allan G., et al.. (2017). Automated Image Analysis of HER2 Fluorescence In Situ Hybridization to Refine Definitions of Genetic Heterogeneity in Breast Cancer Tissue. BioMed Research International. 2017. 1–11. 15 indexed citations
11.
Mačiulaitis, Romaldas, et al.. (2016). Skeletal Muscle‐Derived Stem/Progenitor Cells: A Potential Strategy for the Treatment of Acute Kidney Injury. Stem Cells International. 2016(1). 9618480–9618480. 14 indexed citations
12.
Laurinavičius, Arvydas, Benoît Plancoulaine, Allan G. Rasmusson, et al.. (2016). Bimodality of intratumor Ki67 expression is an independent prognostic factor of overall survival in patients with invasive breast carcinoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 468(4). 493–502. 33 indexed citations
13.
Riispere, Živile, Arvydas Laurinavičius, Elviira Seppet, et al.. (2016). IgA nephropathy clinicopathologic study following the Oxford classification: Progression peculiarities and gender-related differences. Medicina. 52(6). 340–348. 19 indexed citations
14.
Rekštytė, Sima, Adas Darinskas, Aida Laurinavičienė, et al.. (2015). Preclinical study of SZ2080 material 3D microstructured scaffolds for cartilage tissue engineering made by femtosecond direct laser writing lithography. Biofabrication. 7(1). 15015–15015. 121 indexed citations
15.
Laurinavičius, Arvydas, Benoît Plancoulaine, Aida Laurinavičienė, et al.. (2014). A methodology to ensure and improve accuracy of Ki67 labelling index estimation by automated digital image analysis in breast cancer tissue. Breast Cancer Research. 16(2). R35–R35. 80 indexed citations
16.
García‐Rojo, Marcial, Christel Daniel, & Arvydas Laurinavičius. (2012). SNOMED CT in pathology.. PubMed. 179. 123–40. 5 indexed citations
17.
18.
Daniel, Christel, et al.. (2011). Recent advances in standards for collaborative Digital Anatomic Pathology. Diagnostic Pathology. 6(S1). S17–S17. 28 indexed citations
19.
20.
Žurauskas, Edvardas, et al.. (2007). Dirbtinių intrakranijinės aneurizmos modelių kūrimas angiografiniams tyrimams. Laba (Lietuvos akademinių bibliotekų direktorių asociacija). 43(7). 562–567. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by William D. Wallace Breakdown of academic impact, for papers by José A. Gómez Breakdown of academic impact, for papers by Mohamed E. Salama Breakdown of academic impact, for papers by Anna Crescenzi Breakdown of academic impact, for papers by Masayuki Tsuneki Breakdown of academic impact, for papers by Fredrik Erlandsson Breakdown of academic impact, for papers by Meiyun Wang Breakdown of academic impact, for papers by Jörg Kriegsmann Breakdown of academic impact, for papers by Georgios Z. Papadakis Breakdown of academic impact, for papers by Christian D. Fankhauser
Rankless by CCL
2026