C. Philippe

138 papers receiving 2.4k citations

Peers

C. Philippe
Comparison fields: 5 of 139
  • Endocrine and Autonomic Systems 198
  • Oncology 515
  • Biological Psychiatry 45
  • Physiology 365
  • Cognitive Neuroscience 284
Replace Cathy S.J. Fann with:
Cathy S.J. Fann Taiwan
Kosuke Aritake Japan
Jane F Armstrong United Kingdom
Naoki Yamamoto Japan
Wenbin Li China
Kenichiro Yamashita Japan
Christophe Hirtz France
Servio H. Ramirez United States
Ling Shen United States
C. Philippe relative to Cathy S.J. Fann Taiwan Cathy S.J. Fann's profile →
Citations per field
00.5×2.9×
Cathy S.J. Fann · 1×
Citations per year

Countries citing papers authored by C. Philippe

Since Specialization
Citations

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

Fields of papers citing papers by C. Philippe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005246
2
Neutrophil alveolitis in bronchioloalveolar carcinoma: induction by tumor-derived interleukin-8 and relation to clinical outcome.
1998199
3 2012103
4 201298
5 201577
6
Protection from tumor necrosis factor-mediated cytolysis by platelets.
199375
7 201356
8 201654
9 202054
10
Mesangial cell-derived interleukin-10 modulates mesangial cell response to lipopolysaccharide.
199550
11 201749
12 201346
13 199244
14 199342
15 202142
16 201839
17 199637
18 199036
19 201735
20 201733

About C. Philippe

C. Philippe is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Ecology, having authored 147 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (18 papers), Medical Imaging Techniques and Applications (17 papers), Drug Transport and Resistance Mechanisms (15 papers), Radiopharmaceutical Chemistry and Applications (13 papers), Functional Brain Connectivity Studies (12 papers), Advanced MRI Techniques and Applications (10 papers), Pharmacological Effects and Toxicity Studies (10 papers) and Neurotransmitter Receptor Influence on Behavior (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (198 citations), Oncology (515 citations), Biological Psychiatry (45 citations), Physiology (365 citations) and Cognitive Neuroscience (284 citations). C. Philippe has collaborated with scholars based in Austria, France and Germany. Frequent co-authors include Wolfgang Wadsak, Markus Mitterhauser, Rupert Lanzenberger, Laurent Baud, Marcus Hacker, Bruno Fouqueray, Siegfried Kasper, Andreas Hahn, Joëlle Perez and B. Milleron. Their work appears in journals such as Applied Radiation and Isotopes, Journal of Nuclear Medicine, Nuclear Medicine and Biology, Translational Psychiatry and Viruses.

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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