Marja Talikka

3.6k total citations · 1 hit paper
54 papers, 2.4k citations indexed

About

Marja Talikka is a scholar working on Molecular Biology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marja Talikka has authored 54 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 13 papers in Physiology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Marja Talikka's work include Bioinformatics and Genomic Networks (17 papers), Computational Drug Discovery Methods (9 papers) and Gene expression and cancer classification (8 papers). Marja Talikka is often cited by papers focused on Bioinformatics and Genomic Networks (17 papers), Computational Drug Discovery Methods (9 papers) and Gene expression and cancer classification (8 papers). Marja Talikka collaborates with scholars based in Switzerland, United States and Singapore. Marja Talikka's co-authors include Julia Hoeng, Manuel C. Peitsch, Christer Betsholtz, Kari Alitalo, Kirsi Sainio, Jussi Taipale, Tatiana V. Petrova, Paula Haiko, David G. Jackson and Heikki Rauvala and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nature Immunology.

In The Last Decade

Marja Talikka

54 papers receiving 2.4k 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.

Vascular endothelial growth factor C is required for sprouting of the first lymphatic vessels from embryonic veins

2003 1.1k citations Marja Talikka et al. profile →

Peers

Marja Talikka

ONCOL

PHYSI

HTM

SURGE

Christopher M. Hovens Australia

Yongyu Wang China

Irwin Leav United States

Seong‐Hun Kim South Korea

Michael Shi United States

Yoko Omoto Japan

Minji Jeon South Korea

John Erol Evangelista United States

Zhuorui Xie United States

Aaron D. Tward United States

Christopher M. Hovens Australia

Marja Talikka

1.8k ×1.4

550 ×0.6

ONCOL

361 ×0.6

PHYSI

73 ×0.2

HTM

267 ×0.9

SURGE

Citations per year, relative to Marja Talikka Marja Talikka (= 1×) peers Christopher M. Hovens

Countries citing papers authored by Marja Talikka

Since Specialization

Citations

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

Fields of papers citing papers by Marja Talikka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marja Talikka

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sewer, Alain, et al.. (2024). Quantitative modeling of in vitro data using an adverse outcome pathway for the risk assessment of decreased lung function in humans. Toxicology Letters. 393. 107–113. 2 indexed citations

Talikka, Marja, Alain Sewer, Nicolas Sierro, et al.. (2023). Tobacco Alkaloid Assessment in a DSS-Induced Colitis Mouse Model with a Fully Humanized Immune System. International Journal of Molecular Sciences. 24(7). 6419–6419. 4 indexed citations

Yepiskoposyan, Hasmik, Manuel C. Peitsch, & Marja Talikka. (2022). Causal Biological Network Model for Inflammasome Signaling Applied for Interpreting Transcriptomic Changes in Various Inflammatory States. International Journal of Inflammation. 2022. 1–13. 3 indexed citations

Renggli, Kasper, et al.. (2022). Causal biological network models for reactive astrogliosis: a systems approach to neuroinflammation. Scientific Reports. 12(1). 4205–4205. 3 indexed citations

Talikka, Marja, Colette vom Berg, Florian Martin, et al.. (2021). Systems Toxicology Approach for Assessing Developmental Neurotoxicity in Larval Zebrafish. Frontiers in Genetics. 12. 652632–652632. 7 indexed citations

Sasso, Giuseppe Lo, Blaine Phillips, Alain Sewer, et al.. (2020). The reduction of DSS-induced colitis severity in mice exposed to cigarette smoke is linked to immune modulation and microbial shifts. Scientific Reports. 10(1). 3829–3829. 28 indexed citations

Županič, Anže, Marja Talikka, Vincenzo Belcastro, et al.. (2020). Systems Toxicology Approach for Testing Chemical Cardiotoxicity in Larval Zebrafish. Chemical Research in Toxicology. 33(10). 2550–2564. 18 indexed citations

Martin, Florian, et al.. (2019). NPA: an R package for computing network perturbation amplitudes using gene expression data and two-layer networks. BMC Bioinformatics. 20(1). 451–451. 9 indexed citations

Lowe, Frazer, Karsta Luettich, Marja Talikka, et al.. (2017). Development of an Adverse Outcome Pathway for the Onset of Hypertension by Oxidative Stress-Mediated Perturbation of Endothelial Nitric Oxide Bioavailability. 3(1). 131–148. 13 indexed citations

10.

Luettich, Karsta, Marja Talikka, Frazer Lowe, et al.. (2017). The Adverse Outcome Pathway for Oxidative Stress-Mediated EGFR Activation Leading to Decreased Lung Function. 3(1). 99–109. 18 indexed citations

11.

Iskandar, Anita R., Yang Xiang, Stefan Frentzel, et al.. (2015). Impact Assessment of Cigarette Smoke Exposure on Organotypic Bronchial Epithelial Tissue Cultures: A Comparison of Mono-Culture and Coculture Model Containing Fibroblasts. Toxicological Sciences. 147(1). 207–221. 50 indexed citations

12.

Cabanski, Maciej, Stéphanie Boué, Héctor De León, et al.. (2015). Transcriptional profiling and targeted proteomics reveals common molecular changes associated with cigarette smoke-induced lung emphysema development in five susceptible mouse strains. Inflammation Research. 64(7). 471–486. 16 indexed citations

13.

Martin, Florian, Alain Sewer, Marja Talikka, et al.. (2014). Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models. BMC Bioinformatics. 15(1). 238–238. 74 indexed citations

14.

Poussin, Carine, Carole Mathis, Leonidas G. Alexopoulos, et al.. (2014). The species translation challenge—A systems biology perspective on human and rat bronchial epithelial cells. Scientific Data. 1(1). 140009–140009. 38 indexed citations

15.

León, Héctor De, Stéphanie Boué, Walter K. Schlage, et al.. (2014). A vascular biology network model focused on inflammatory processes to investigate atherogenesis and plaque instability. Journal of Translational Medicine. 12(1). 185–185. 17 indexed citations

16.

Iskandar, Anita R., Florian Martin, Marja Talikka, et al.. (2013). Systems Approaches Evaluating the Perturbation of Xenobiotic Metabolism in Response to Cigarette Smoke Exposure in Nasal and Bronchial Tissues. BioMed Research International. 2013. 1–14. 46 indexed citations

17.

Hoeng, Julia, Marja Talikka, Florian Martin, et al.. (2013). Case study: the role of mechanistic network models in systems toxicology. Drug Discovery Today. 19(2). 183–192. 49 indexed citations

18.

Thomson, Ty M., Alain Sewer, Florian Martin, et al.. (2013). Quantitative assessment of biological impact using transcriptomic data and mechanistic network models. Toxicology and Applied Pharmacology. 272(3). 863–878. 46 indexed citations

19.

Westra, Jurjen W., Walter K. Schlage, Brian P. Frushour, et al.. (2011). Construction of a computable cell proliferation network focused on non-diseased lung cells. BMC Systems Biology. 5(1). 105–105. 45 indexed citations

20.

Hogeveen, Kevin, Marja Talikka, & Geoffrey L. Hammond. (2001). Human Sex Hormone-binding Globulin Promoter Activity Is Influenced by a (TAAAA) Repeat Element within an Alu Sequence. Journal of Biological Chemistry. 276(39). 36383–36390. 76 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