Aija Linē

20.3k total citations · 1 hit paper
63 papers, 2.9k citations indexed

About

Aija Linē is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Aija Linē has authored 63 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 22 papers in Cancer Research and 14 papers in Immunology. Recurrent topics in Aija Linē's work include Extracellular vesicles in disease (24 papers), MicroRNA in disease regulation (19 papers) and Immunotherapy and Immune Responses (12 papers). Aija Linē is often cited by papers focused on Extracellular vesicles in disease (24 papers), MicroRNA in disease regulation (19 papers) and Immunotherapy and Immune Responses (12 papers). Aija Linē collaborates with scholars based in Latvia, Norway and Germany. Aija Linē's co-authors include Zane Kalniņa, Artūrs Ābols, Alicia Llorente, Karīna Siliņa, Pawel Zayakin, M. Helena Vasconcelos, Cristina P. R. Xavier, Edgars Endzeliņš, Cristina Bajo-Santos and Robert C. Rees and has published in prestigious journals such as Cancer Research, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Aija Linē

63 papers receiving 2.9k citations

Hit Papers

align trajectories

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.

The multi-factorial nature of clinical multidrug resistance in cancer

2019 409 citations Aija Linē et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aija Linē Latvia	26	1.9k	1.0k	768	635	321	63	2.9k
Tiziana Triulzi Italy	30	1.7k 0.9×	1.2k 1.1×	1.4k 1.8×	713 1.1×	345 1.1×	61	3.3k
Н. В. Чердынцева Russia	26	1.2k 0.6×	751 0.7×	924 1.2×	734 1.2×	338 1.1×	189	2.5k
Jiang Lin China	37	3.2k 1.7×	1.8k 1.8×	670 0.9×	509 0.8×	326 1.0×	258	4.8k
Monica Tortoreto Italy	32	2.0k 1.0×	907 0.9×	1.3k 1.7×	396 0.6×	402 1.3×	80	3.3k
Paola Nisticò Italy	28	1.3k 0.7×	556 0.5×	1.2k 1.6×	678 1.1×	221 0.7×	69	2.7k
Jamal Majidpoor Iran	30	1.5k 0.8×	974 0.9×	1.1k 1.5×	866 1.4×	312 1.0×	67	3.1k
Kyoko Hida Japan	34	2.5k 1.3×	1.3k 1.3×	956 1.2×	368 0.6×	318 1.0×	65	3.5k
Shengyong Yin China	27	1.3k 0.7×	603 0.6×	879 1.1×	547 0.9×	240 0.7×	78	2.7k
Xianjie Jiang China	19	1.5k 0.8×	949 0.9×	997 1.3×	782 1.2×	413 1.3×	42	2.9k
Wei Yuan China	32	1.2k 0.6×	558 0.5×	882 1.1×	912 1.4×	399 1.2×	106	2.9k

Countries citing papers authored by Aija Linē

Since Specialization

Citations

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

Fields of papers citing papers by Aija Linē

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aija Linē

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

All Works

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20 of 20 papers shown

Sagini, Krizia, et al.. (2025). Exercise-induced extracellular vesicles delay tumor development by igniting inflammation in an immunologically cold triple-negative breast cancer mouse model. Journal of sport and health science. 14. 101041–101041. 5 indexed citations

Sagini, Krizia, Frode Rise, Edgars Endzeliņš, et al.. (2025). The Redox Enzyme Thioredoxin Is Increased in Plasma Extracellular Vesicles From Endurance‐Trained Females in Response to Acute Exercise. The FASEB Journal. 39(16). e70927–e70927. 2 indexed citations

Puurand, Marju, et al.. (2025). Exercise-induced extracellular vesicles in reprogramming energy metabolism in cancer. Frontiers in Oncology. 14. 1480074–1480074. 4 indexed citations

Kļaviņa, Aija, et al.. (2024). The Effect of High-Intensity Interval Training on Quality of Life and Incidence of Chemotherapy Side Effects in Women With Breast Cancer. Integrative Cancer Therapies. 23. 1573612521–1573612521. 2 indexed citations

Zayakin, Pawel, Ilze Radoviča-Spalviņa, Edgars Endzeliņš, et al.. (2023). Extracellular Vesicles—A Source of RNA Biomarkers for the Detection of Breast Cancer in Liquid Biopsies. Cancers. 15(17). 4329–4329. 11 indexed citations

Bajo-Santos, Cristina, Pawel Zayakin, Edgars Endzeliņš, et al.. (2023). Plasma and urinary extracellular vesicles as a source of RNA biomarkers for prostate cancer in liquid biopsies. Frontiers in Molecular Biosciences. 10. 980433–980433. 19 indexed citations

Zayakin, Pawel, Cristina Bajo-Santos, Edgars Endzeliņš, et al.. (2022). Effects of urinary extracellular vesicles from prostate cancer patients on the transcriptomes of cancer-associated and normal fibroblasts. BMC Cancer. 22(1). 1055–1055. 6 indexed citations

Berge, Viktor, et al.. (2021). Potential of miRNAs in urinary extracellular vesicles for management of active surveillance in prostate cancer patients. British Journal of Cancer. 126(3). 492–501. 24 indexed citations

Bajo-Santos, Cristina, Aija Linē, Elena S. Martens‐Uzunova, et al.. (2021). Extracellular vesicles as a source of prostate cancer biomarkers in liquid biopsies: a decade of research. British Journal of Cancer. 126(3). 331–350. 76 indexed citations

10.

Purkalne, Gunta, et al.. (2020). High expression of GLI1 is associated with better survival in advanced SCLC. Experimental Oncology. 42(1). 75–77. 2 indexed citations

11.

Meistere, Irēna, Simone Werner, Pawel Zayakin, et al.. (2017). The Prevalence of Cancer-Associated Autoantibodies in Patients with Gastric Cancer and Progressive Grades of Premalignant Lesions. Cancer Epidemiology Biomarkers & Prevention. 26(10). 1564–1574. 24 indexed citations

12.

Siliņa, Karīna, Alex Soltermann, Farkhondeh Movahedian Attar, et al.. (2017). Germinal Centers Determine the Prognostic Relevance of Tertiary Lymphoid Structures and Are Impaired by Corticosteroids in Lung Squamous Cell Carcinoma. Cancer Research. 78(5). 1308–1320. 297 indexed citations

13.

Siliņa, Karīna, Zane Kalniņa, Artūrs Ābols, et al.. (2014). Prognostic relevance of carbonic anhydrase IX expression is distinct in various subtypes of breast cancer and its silencing suppresses self-renewal capacity of breast cancer cells. Cancer Chemotherapy and Pharmacology. 75(2). 235–246. 48 indexed citations

14.

Siliņa, Karīna, et al.. (2014). Manipulation of tumour-infiltrating B cells and tertiary lymphoid structures: a novel anti-cancer treatment avenue?. Cancer Immunology Immunotherapy. 63(7). 643–662. 54 indexed citations

15.

Ābols, Artūrs, et al.. (2012). Cell‐free microRNAs as diagnostic, prognostic, and predictive biomarkers for lung cancer. Genes Chromosomes and Cancer. 52(4). 356–369. 67 indexed citations

16.

Ābols, Artūrs, et al.. (2011). Validity of multiplex biomarker model of 6 genes for the differential diagnosis of thyroid nodules. Thyroid Research. 4(1). 11–11. 7 indexed citations

17.

Siliņa, Karīna, Pawel Zayakin, Zane Kalniņa, et al.. (2010). Sperm-associated Antigens as Targets for Cancer Immunotherapy. Journal of Immunotherapy. 34(1). 28–44. 71 indexed citations

18.

Баумане, Л., Sergejs Isajevs, Aija Linē, et al.. (2010). Effects of Kaempferol and Myricetin on Inducible Nitric Oxide Synthase Expression and Nitric Oxide Production in Rats. Basic & Clinical Pharmacology & Toxicology. 106(6). 461–466. 26 indexed citations

19.

Li, Geng, Deepak Assudani, Aija Linē, et al.. (2008). Identification of Metastasis Associated Antigen 1 (MTA1) by Serological Screening of Prostate Cancer cDNA Libraries. PubMed. 2(1). 100–107. 11 indexed citations

20.

Kalniņa, Zane, et al.. (2005). Alterations of pre‐mRNA splicing in cancer. Genes Chromosomes and Cancer. 42(4). 342–357. 156 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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