Pascale Anderle

2.4k citations
28 papers · 1.8k indexed · h-index 24

Impact in

  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms
    • Cancer Cells and Metastasis
    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies
    • MicroRNA in disease regulation

Papers in

    • Amino Acid Enzymes and Metabolism 3
    • Drug Transport and Resistance Mechanisms 9
    • Cancer Cells and Metastasis 6

Pascale Anderle

28 papers receiving 1.8k citations

Peers

Pascale Anderle
Comparison fields: 5 of 116
  • Oncology 889
  • Cancer Research 378
  • Molecular Biology 935
  • Biochemistry 86
  • Pharmacology 80
Replace Meng Xia with:
Meng Xia China
Farhat L. Khanim United Kingdom
Gregory A. Graf United States
Shinji Iwasaki Japan
David M. Nelson United States
Shengkan Jin United States
Teresa N. Faria United States
Paul Thelen Germany
Shunlin Ren United States
Wei Tang United States
Pascale Anderle relative to Meng Xia China Meng Xia's profile →
Citations per field
00.5×1.5×2.2×
Meng Xia · 1×
Citations per year

Countries citing papers authored by Pascale Anderle

Since Specialization
Citations

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

Fields of papers citing papers by Pascale Anderle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202136
3 201862
4 201544
5 201524
6 201351
7 201363
8 20139
9 201225
10 201250
11 2010102
12 2009483
13 200639
14 200549
15 2004231
16 200425
17 200347
18 200328
19 200215
20 1998179

About Pascale Anderle

Pascale Anderle is a scholar working on Biochemistry, Oncology, Cancer Research, Obstetrics and Gynecology and Molecular Biology, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (9 papers), Cancer Cells and Metastasis (6 papers), Pregnancy and preeclampsia studies (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Birth, Development, and Health (3 papers), Genetic factors in colorectal cancer (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Digestive system and related health (3 papers). The work is most often cited by research in Oncology (889 citations), Cancer Research (378 citations), Molecular Biology (935 citations), Biochemistry (86 citations) and Pharmacology (80 citations). Pascale Anderle has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Wolfgang Sadée, Mauro Delorenzi, Ying Huang, Michel Aguet, Sylvie André, Pierre Farmer, Susanne Bentz, Werner Rubas, Hans P. Merkle and Peter Langguth. Their work appears in journals such as BMC Genomics, Journal of Pharmaceutical Sciences, PLoS ONE, Cancer Research and Journal of Pharmacology and Experimental Therapeutics.

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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