Concepedia

Author

Kari Lavikka

University of HelsinkiORCID

Also Known As

K. Lavikka, K.A. Lavikka, Kari A. Lavikka, Kari Lavikka, Lavikka, Kari

112

Publications

372

Citations

8

H-Index

18

Concepts

All Affiliations

University of HelsinkiUniversity of TurkuHelsinki University HospitalTurku University HospitalHarvard University
KL

About

Kari Lavikka is an author at University of Helsinki specializing in tumor biology, medicine, and pathology.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Medicine

2

2

117

2

Pathology

2

2

117

3

Health Sciences

1

1

44

4

Biostatistics

1

1

44

5

Cancer Genetics

1

1

73

Kari Lavikka

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8

Publications

338

Citations

8

H-Index

YearCitations

A platform for efficient establishment and drug-response profiling of high-grade serous ovarian cancer organoids

Wojciech Senkowski, Laura Gall-Mas, Matías Marín Falco,

Developmental Cell

2023

100

Evolutionary states and trajectories characterized by distinct pathways stratify patients with ovarian high grade serous carcinoma

Alexandra Lahtinen, Kari Lavikka, Anni Virtanen,

Cancer Cell

2023

73

Anduril 2: upgraded large-scale data integration framework

Alejandra Cervera, Ville Rantanen, Kristian Ovaska,

Bioinformatics

2019

45

Optimized detection of homologous recombination deficiency improves the prediction of clinical outcomes in cancer

Fernando Pérez‐Villatoro, Jaana Oikkonen, Julia Casado,

npj Precision Oncology

2022

44

Prospective Longitudinal ctDNA Workflow Reveals Clinically Actionable Alterations in Ovarian Cancer

Jaana Oikkonen, Kaiyang Zhang, Liina Salminen,

JCO Precision Oncology

2019

41

HRD related signature 3 predicts clinical outcome in advanced tubo-ovarian high-grade serous carcinoma

Heidi Koskela, Yilin Li, Titta Joutsiniemi,

Gynecologic Oncology

2023

12

Genome-wide quantification of copy-number aberration impact on gene expression in ovarian high-grade serous carcinoma

Sanaz Jamalzadeh, Jun Dai, Kari Lavikka,

BMC Cancer

2024

12

H&E image analysis pipeline for quantifying morphological features

Valeria Ariotta, Oskari Lehtonen, Shams Salloum,

Journal of Pathology Informatics

2023

11

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