Liisa Pertovaara

1.3k citations
10 papers · 1.1k indexed · 1 hit paper · h-index 8
Topics
TGF-β signaling in diseases (3 papers)Protein Kinase Regulation and GTPase Signaling (2 papers)Acute Myeloid Leukemia Research (2 papers)

In The Last Decade

Liisa Pertovaara

10 papers receiving 1.1k citations

Hit Papers

Vascular endothelial growth factor is induced in response...19942026200420151994100200300400500

Peers

Liisa Pertovaara
Comparison fields: 5 of 76
  • Molecular Biology 878
  • Oncology 297
  • Cancer Research 275
  • Immunology and Allergy 109
  • Pulmonary and Respiratory Medicine 105
Replace Shinobu Iwai with:
Shinobu Iwai Japan
Masahiro Sato Japan
Wolfgang Röckl Germany
F. Wang United States
Petra Reusch Germany
Isao Inoki Japan
Rolf Christofferson Sweden
C. de Vries Netherlands
Debora Salani Italy
H L Moses United States
Liisa Pertovaara relative to Shinobu Iwai Japan Shinobu Iwai's profile →
Citations per field
00.5×1.5×
Shinobu Iwai · 1×
Citations per year

Countries citing papers authored by Liisa Pertovaara

Since Specialization
Citations

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

Fields of papers citing papers by Liisa Pertovaara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liisa Pertovaara

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 10
2
Vascular endothelial growth factor is induced in response to transforming growth factor-beta in fibroblastic and epithelial cells.breakdown →
574
3 19
4 18
5
FLT4 receptor tyrosine kinase contains seven immunoglobulin-like loops and is expressed in multiple human tissues and cell lines.
221
6 1
7 43
8 2
9 40
10 198

About Liisa Pertovaara

Liisa Pertovaara is a scholar working on Hematology, Cancer Research and Immunology and Allergy, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Cancer Research (275 citations), Immunology and Allergy (109 citations) and Molecular Biology (878 citations). Liisa Pertovaara has collaborated with scholars based in Finland, France and United States. Frequent co-authors include Kari Alitalo, Arja Kaipainen, Olli Saksela, Napoleone Ferrara, Arto Orpana, Tuija Mustonen, Lea Sistonen, Jorma Keski‐Oja, Timothy J. Bos and Peter K. Vogt. Their work appears in journals such as Journal of Biological Chemistry, Blood and Molecular and Cellular Biology.

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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