Reet Koomägi

2.4k citations
59 papers · 2.0k indexed · h-index 25

Reet Koomägi

58 papers receiving 2.0k citations

Peers

Reet Koomägi
Comparison fields: 5 of 93
  • Cancer Research 675
  • Oncology 766
  • Molecular Biology 1.3k
  • Internal Medicine 60
  • Hepatology 118
Replace T. Annie T. Fong with:
T. Annie T. Fong United States
K. Peter Hirth Germany
Steven Pirie‐Shepherd United States
Harold Keer United States
Virginia K. Langmuir United States
Kazuo Gohji Japan
Lydia Nakopoulou Greece
Derya Duranyıldız Türkiye
S. Vignati Italy
Kazutaka Miyadera Japan
Reet Koomägi relative to T. Annie T. Fong United States T. Annie T. Fong's profile →
Citations per field
00.5×1.5×2.4×
T. Annie T. Fong · 1×
Citations per year

Countries citing papers authored by Reet Koomägi

Since Specialization
Citations

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

Fields of papers citing papers by Reet Koomägi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Reet Koomägi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Reet Koomägi Line = papers co-authored together Reet Koomägi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20080
2 20033
3 20031
4 200212
5 20025
6
Expression profile of genes in non-small cell lung carcinomas from long-term surviving patients.
200239
7 200250
8 200057
9 19998
10 199823
11 1997184
12 199711
13 199724
14 199738
15
Angiogenic growth factors and their receptors in non-small cell lung carcinomas and their relationships to drug response in vitro.
199739
16 199787
17 199612
18 1996263
19 199520
20 199513

About Reet Koomägi

Reet Koomägi is a scholar working on Cancer Research, Oncology, Molecular Biology, Biotechnology and Pulmonary and Respiratory Medicine, having authored 59 papers that have together received 2.0k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (15 papers), Cancer-related Molecular Pathways (13 papers), Cancer, Hypoxia, and Metabolism (10 papers), Lung Cancer Treatments and Mutations (9 papers), RNA modifications and cancer (9 papers), Cancer, Lipids, and Metabolism (7 papers), Kruppel-like factors research (5 papers) and Cancer Research and Treatments (5 papers). The work is most often cited by research in Cancer Research (675 citations), Oncology (766 citations), Molecular Biology (1.3k citations), Internal Medicine (60 citations) and Hepatology (118 citations). Reet Koomägi has collaborated with scholars based in Germany, Estonia and Iran. Frequent co-authors include M Volm, J Mattern, G. Stammler, Jürgen Mattern, Thomas Efferth, M Volm, Axel Sauerbrey, Werner Rittgen, Monica Hollstein and Abdolamir Allameh. Their work appears in journals such as International Journal of Oncology, International Journal of Cancer, Oncology Reports, British Journal of Cancer and Lung Cancer.

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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