Christine Hoeffel
- Surgery top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Oncology top 2%
- Epidemiology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Philippe SoyerAnthony DohanM. LewinJean‐Michel TubianaMourad BoudiafLionel ArrivéSebastien MuléMatthias Barral
- Topics
- Radiomics and Machine Learning in Medical Imaging (31 papers)MRI in cancer diagnosis (24 papers)Diverticular Disease and Complications (22 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Christine Hoeffel
196 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 124
- Surgery 2.0k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Oncology 1.1k
- Epidemiology 902
- Pulmonary and Respiratory Medicine 737
Countries citing papers authored by Christine Hoeffel
This map shows the geographic impact of Christine Hoeffel'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 Christine Hoeffel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Hoeffel more than expected).
Fields of papers citing papers by Christine Hoeffel
This network shows the impact of papers produced by Christine Hoeffel. 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 Christine Hoeffel. The network helps show where Christine Hoeffel may publish in the future.
Co-authorship network of co-authors of Christine Hoeffel
This figure shows the co-authorship network connecting the top 25 collaborators of Christine Hoeffel. A scholar is included among the top collaborators of Christine Hoeffel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christine Hoeffel. Christine Hoeffel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 10 | |
| 6 | 10 | |
| 7 | 7 | |
| 8 | 35 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 腫瘍の長期間検出のためのポリ(ラクチド-co-グリコリド)に載せた新しい磁気共鳴画像化コントラスト剤 | 27 |
| 13 | 11 | |
| 14 | 26 | |
| 15 | 4 | |
| 16 | 17 | |
| 17 | 4 | |
| 18 | 69 | |
| 19 | [Which adrenal incidentalomas are to be operated?]. | 2 |
| 20 | 16 |
About Christine Hoeffel
Christine Hoeffel is a scholar working on Gastroenterology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 209 papers that have together received 4.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (31 papers), MRI in cancer diagnosis (24 papers) and Diverticular Disease and Complications (22 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Gastroenterology (286 citations) and Hepatology (368 citations). Christine Hoeffel has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Philippe Soyer, Anthony Dohan, M. Lewin, Jean‐Michel Tubiana, Mourad Boudiaf, Lionel Arrivé, Sebastien Mulé, Matthias Barral, Pascal Rousset and Olivier Bouché. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Clinical Oncology and Hepatology.
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.