Amélie Forest

1000 citations
10 papers · 302 indexed · h-index 8

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics
    • Cancer Cells and Metastasis

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • Lung Cancer Research Studies 2
    • Pancreatic and Hepatic Oncology Research 1

Amélie Forest

10 papers receiving 301 citations

Peers

Amélie Forest
Comparison fields: 5 of 60
  • Cancer Research 64
  • Oncology 106
  • Hepatology 24
  • Cellular and Molecular Neuroscience 50
  • Endocrinology, Diabetes and Metabolism 44
Replace Yingxiao Chen with:
Yingxiao Chen China
Dirk H. Siepe United States
Teruyo Tsukada Japan
K. Tate United States
Kirsten Reuter‐Jessen Germany
Haiyan Huang China
George A. Abou-Rjaily United States
Dawn Kohrt United States
Ryan T. Wagner United States
Hiroyuki Soga Japan
Amélie Forest relative to Yingxiao Chen China Yingxiao Chen's profile →
Citations per field
00.5×3.5×
Yingxiao Chen · 1×
Citations per year

Countries citing papers authored by Amélie Forest

Since Specialization
Citations

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

Fields of papers citing papers by Amélie Forest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1 20181
2 201739
3 201746
4 20172
5 201620
6 201554
7 201527
8 201235
9 201038
10 200840

About Amélie Forest

Amélie Forest is a scholar working on Oncology, Hepatology, Endocrinology, Diabetes and Metabolism, Biotechnology and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 302 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Lung Cancer Treatments and Mutations (2 papers), Lung Cancer Research Studies (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Cancer Research (64 citations), Oncology (106 citations), Hepatology (24 citations), Cellular and Molecular Neuroscience (50 citations) and Endocrinology, Diabetes and Metabolism (44 citations). Amélie Forest has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include M. Neal Waxham, Matthew T. Swulius, Ruslan D. Novosiadly, Yoshihisa Kubota, Joyce Ka Yu Tse, J. Michael Bradshaw, Tara Gaertner, Shande Tang, Jan Cosaert and Tuan S. Nguyen. Their work appears in journals such as Clinical Cancer Research, Cancer Research, Molecular Cancer Therapeutics, Molecular Cancer Research and Journal of Thoracic Oncology.

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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