Jacques Champier

46 papers receiving 932 citations

Peers

Jacques Champier
Comparison fields: 5 of 87
  • Genetics 397
  • Endocrine and Autonomic Systems 93
  • Ophthalmology 114
  • Neurology 127
  • Endocrinology, Diabetes and Metabolism 109
Replace Kensuke Tateishi with:
Kensuke Tateishi Japan
István Bódi United Kingdom
Marcin Roszkowski Poland
Daniel Crooks United Kingdom
Shunliang Xu China
Frank Duffner Germany
Robert Wollman United States
Ryan T. Mott United States
Paul Riordan‐Eva United Kingdom
Kazuki Ohta Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jacques Champier

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Champier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006124
2 200683
3 201258
4 199750
5 201344
6 200840
7 200834
8 201131
9 198731
10 199631
11 199631
12 200429
13 201029
14 199827
15 200925
16 201025
17 199325
18 200123
19 201222
20 199118

About Jacques Champier

Jacques Champier is a scholar working on Genetics, Molecular Biology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 47 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (20 papers), Medical Image Segmentation Techniques (6 papers), Medical Imaging Techniques and Applications (6 papers), Hypothalamic control of reproductive hormones (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Ocular Oncology and Treatments (4 papers), Neuroendocrine regulation and behavior (3 papers) and Neuroblastoma Research and Treatments (3 papers). The work is most often cited by research in Genetics (397 citations), Endocrine and Autonomic Systems (93 citations), Ophthalmology (114 citations), Neurology (127 citations) and Endocrinology, Diabetes and Metabolism (109 citations). Jacques Champier has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Anne Jouvet, Michelle Fèvre‐Montange, Bruno Claustrat, Michelle Fèvre Montange, Dominique Figarella‐Branger, Alexandre Vasiljevic, F. Fauchon, Jacques Guyotat, Alexandru Szathmári and C. Mottolèse. Their work appears in journals such as Neuropathology, Acta Neuropathologica, Journal of Neuro-Oncology, Journal of Neuropathology & Experimental Neurology and Brain Pathology.

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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