Michelle de Oliveira

1.1k citations
11 papers · 627 indexed · h-index 8
Topics
Radiomics and Machine Learning in Medical Imaging (3 papers)Hepatocellular Carcinoma Treatment and Prognosis (3 papers)Liver Disease and Transplantation (2 papers)

In The Last Decade

Michelle de Oliveira

10 papers receiving 610 citations

Peers

Michelle de Oliveira
Comparison fields: 5 of 53
  • Surgery 518
  • Hepatology 350
  • Pathology and Forensic Medicine 145
  • Public Health, Environmental and Occupational Health 140
  • Pharmacology 112
Replace Ahmed A. Darwish with:
Ahmed A. Darwish Egypt
Raúl Almenara Spain
Riccardo Boetto Italy
Nicola Corigliano France
A M D'Alessandro United States
Bogdan P. Napieralski Germany
J.P.A. Lodge United Kingdom
R Steininger Austria
Rony Eshkenazy Israel
F Lindahl Denmark
Michelle de Oliveira relative to Ahmed A. Darwish Egypt Ahmed A. Darwish's profile →
Citations per field
00.5×10×20×30×37.3×
Ahmed A. Darwish · 1×
Citations per year

Countries citing papers authored by Michelle de Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by Michelle de Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle de Oliveira. 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 Michelle de Oliveira. The network helps show where Michelle de Oliveira may publish in the future.

Co-authorship network of co-authors of Michelle de Oliveira

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle de Oliveira. A scholar is included among the top collaborators of Michelle de Oliveira 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 Michelle de Oliveira. Michelle de Oliveira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 2
3 10
4 2
5 126
6 7
7 247
8 12
9 136
10 31
11 54

About Michelle de Oliveira

Michelle de Oliveira is a scholar working on Hepatology, Internal Medicine and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 627 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Hepatology (350 citations), Surgery (518 citations) and Transplantation (23 citations). Michelle de Oliveira has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Pierre–Alain Clavien, Philipp Dutkowski, Beat Müllhaupt, Andrea Schlegel, Bruce Hall, G. Findlay, Mickaël Lesurtel, Simon Fear, Henrik Petrowsky and Georg Györi. Their work appears in journals such as Annals of Surgery, Spine and Journal of 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.

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