Erna Raja

817 citations
17 papers · 652 · h-index 13

Impact in

    • TGF-β signaling in diseases
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • Kruppel-like factors research
    • Metabolism, Diabetes, and Cancer
    • Ubiquitin and proteasome pathways

Papers in

    • TGF-β signaling in diseases 8
    • Metabolism, Diabetes, and Cancer 4
    • Kruppel-like factors research 3
    • Epigenetics and DNA Methylation 3
    • Cancer-related gene regulation 2
    • Connective tissue disorders research 3
    • Glioma Diagnosis and Treatment 3

Erna Raja

17 papers receiving 645 citations

Peers

Erna Raja
Comparison fields: 5 of 71
  • Cancer Research 90
  • Molecular Biology 433
  • Oncology 141
  • Immunology and Allergy 20
  • Hematology 35
Replace Lian‐He Yang with:
Lian‐He Yang China
Masao Furuhashi Japan
Yaw-Ching Yang United States
Elyssa Rubin United States
Prasanna Vasudevan Iyengar Netherlands
Charlotte Anderberg Sweden
Takahiro Heishi Japan
Kana Horiguchi Japan
Yuri Miyazawa Japan
Xiaoning Mo China
Erna Raja relative to Lian‐He Yang China Lian‐He Yang's profile →
Citations per field
00.5×1.5×
Lian‐He Yang · 1×
Citations per year

Countries citing papers authored by Erna Raja

Since Specialization
Citations

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

Fields of papers citing papers by Erna Raja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Erna Raja, 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 Erna Raja Line = papers co-authored together Erna Raja links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2006171
2 2008162
3 201573
4 201048
5 201732
6 201230
7 201927
8 202024
9 201517
10 202314
11 201914
12 202213
13 201712
14 20217
15 20254
16 20243
17
Cross-regulation between TGFβ/BMP Signalling and the metabolic LKB1 pathway
20121

About Erna Raja

Erna Raja is a scholar working on Molecular Biology, Genetics, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 17 papers that have together received 652 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (8 papers), Metabolism, Diabetes, and Cancer (4 papers), Kruppel-like factors research (3 papers), Connective tissue disorders research (3 papers), Epigenetics and DNA Methylation (3 papers), Glioma Diagnosis and Treatment (3 papers), Cancer-related gene regulation (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Cancer Research (90 citations), Molecular Biology (433 citations), Oncology (141 citations), Immunology and Allergy (20 citations) and Hematology (35 citations). Erna Raja has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include Aristidis Moustakas, Anita Morén, Peter Lönn, Markus Dahl, Carl‐Henrik Heldin, Kohei Miyazono, Hayley L. Belnoue-Davis, Tun Kiat Ko, Saraswati Sukumar and Kapil N. Bhalla. Their work appears in journals such as Journal of Biological Chemistry, Cell Research, Oncogene, Oncotarget and Aging Cell.

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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