Margaret C. Tod

645 citations
6 papers · 179 indexed · h-index 3
Topics
Ovarian cancer diagnosis and treatment (2 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)Cancer, Lipids, and Metabolism (1 paper)

In The Last Decade

Margaret C. Tod

5 papers receiving 172 citations

Peers

Margaret C. Tod
Comparison fields: 5 of 25
  • Obstetrics and Gynecology 115
  • Surgery 87
  • Radiation 69
  • Radiology, Nuclear Medicine and Imaging 39
  • Reproductive Medicine 35
Replace Marianne S. Assenholt with:
Marianne S. Assenholt Denmark
Jasper Yuen Canada
Randi A. Schea United States
Nina Boje Kibsgaard Jensen Denmark
J Roll United States
Israël Fortin Canada
Karen Nkiwane Austria
Y. Jessica Huang United States
K. De Winter Netherlands
Won K. Tak United States
Margaret C. Tod relative to Marianne S. Assenholt Denmark Marianne S. Assenholt's profile →
Citations per field
00.5×1.5×
Marianne S. Assenholt · 1×
Citations per year

Countries citing papers authored by Margaret C. Tod

Since Specialization
Citations

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

Fields of papers citing papers by Margaret C. Tod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret C. Tod

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 169
5 3
6 5

About Margaret C. Tod

Margaret C. Tod is a scholar working on Reproductive Medicine, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 6 papers that have together received 179 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Obstetrics and Gynecology (115 citations), Radiation (69 citations) and Reproductive Medicine (35 citations). Margaret C. Tod has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include W.J. MEREDITH, I. L. Ray-Coquard, François Golfier, Alain Lortholary, Andreas du Bois, Stéphane Oudard, J. Huober, Olivier Colomban, Richard J. Harvey and Philip Savage. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology and BJOG An International Journal of Obstetrics & Gynaecology.

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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