Amélie Forest

1.0k citations
11 papers · 304 · 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 1
    • Ion channel regulation and function 1

Amélie Forest

10 papers receiving 302 citations

Peers

Amélie Forest
Comparison fields: 5 of 54
  • Cancer Research 56
  • Oncology 82
  • Hepatology 21
  • Cellular and Molecular Neuroscience 49
  • Endocrinology, Diabetes and Metabolism 41
Replace Bing-Ren Huang with:
Bing-Ren Huang China
Ryan T. Wagner United States
Moritz Menzel Germany
Beate Rohde-Schulz Germany
Amy Sanchez United Kingdom
Tatsuya Kojima Japan
Lianghong Teng China
Kirsten Reuter‐Jessen Germany
Dawn Kohrt United States
Charles St-Pierre Canada
Amélie Forest relative to Bing-Ren Huang China Bing-Ren Huang's profile →
Citations per field
00.5×2.6×
Bing-Ren Huang · 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-authors

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

11 of 11 papers shown
#Work
1 201554
2 201746
3 200841
4 201740
5 201038
6 201235
7 201527
8 201620
9 20172
10 20181
11 20150

About Amélie Forest

Amélie Forest is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 11 papers that have together received 304 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Lung Cancer Research Studies (1 paper), Cancer Genomics and Diagnostics (1 paper), Enzyme Structure and Function (1 paper), Ion channel regulation and function (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Cancer Research (56 citations), Oncology (82 citations), Hepatology (21 citations), Cellular and Molecular Neuroscience (49 citations) and Endocrinology, Diabetes and Metabolism (41 citations). Amélie Forest has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Matthew T. Swulius, M. Neal Waxham, Ruslan D. Novosiadly, Yoshihisa Kubota, J. Michael Bradshaw, Tara Gaertner, Joyce Ka Yu Tse, Tuan S. Nguyen, Shande Tang and Jan Cosaert. Their work appears in journals such as Clinical Cancer Research, Cancer Research, Molecular Cancer Therapeutics, The Journal of Comparative Neurology and Journal of Virology.

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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