Margaret C. Tod

645 total citations
6 papers, 179 citations indexed

About

Margaret C. Tod is a scholar working on Radiology, Nuclear Medicine and Imaging, Reproductive Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Margaret C. Tod has authored 6 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Reproductive Medicine and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Margaret C. Tod's 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). Margaret C. Tod is often cited by papers focused on Ovarian cancer diagnosis and treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Cancer, Lipids, and Metabolism (1 paper). Margaret C. Tod collaborates with scholars based in United Kingdom, France and Germany. Margaret C. Tod's co-authors include W.J. MEREDITH, Christian Kurzeder, François Golfier, Hugh Mitchell, Gilles Freyer, Benoît You, Andreas du Bois, MJ Seckl, Alain Lortholary and J. Huober and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and BJOG An International Journal of Obstetrics & Gynaecology.

In The Last Decade

Margaret C. Tod

5 papers receiving 172 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Margaret C. Tod United Kingdom	3	115	87	69	39	35	6	179
Marianne S. Assenholt Denmark	8	160 1.4×	101 1.2×	105 1.5×	43 1.1×	37 1.1×	19	201
Jasper Yuen Canada	5	85 0.7×	59 0.7×	60 0.9×	44 1.1×	17 0.5×	9	146
Nina Boje Kibsgaard Jensen Denmark	5	106 0.9×	53 0.6×	76 1.1×	54 1.4×	26 0.7×	9	161
Israël Fortin Canada	7	128 1.1×	80 0.9×	26 0.4×	18 0.5×	38 1.1×	11	228
Randi A. Schea United States	7	50 0.4×	40 0.5×	40 0.6×	31 0.8×	20 0.6×	8	150
Dominique Rash United States	8	92 0.8×	76 0.9×	34 0.5×	38 1.0×	23 0.7×	22	178
Karen Nkiwane Austria	7	88 0.8×	65 0.7×	55 0.8×	28 0.7×	10 0.3×	8	112
J Roll United States	5	144 1.3×	117 1.3×	217 3.1×	136 3.5×	27 0.8×	8	320
Y. Jessica Huang United States	9	131 1.1×	46 0.5×	99 1.4×	79 2.0×	97 2.8×	37	275
Katarina Majerčáková Spain	6	52 0.5×	43 0.5×	57 0.8×	60 1.5×	9 0.3×	15	132

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

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6 of 6 papers shown

1.

Colomban, Olivier, et al.. (2021). 634P Prognostic value of the modeled PSA kinetic parameter (KELIM) in prostate cancer patients with rising PSA after primary local therapy treated in a prospective phase III trial with ADT +/- docetaxel. Annals of Oncology. 32. S666–S666. 1 indexed citations

2.

Colomban, Olivier, Margaret C. Tod, I. L. Ray-Coquard, et al.. (2016). The predictive value of the CA-125 modeled kinetic parameter KELIM is validated in 3 independent datasets (AGO-OVAR 7 & 9; ICON 7 AGO/GINECO/GCIG trials). Annals of Oncology. 27. vi296–vi296.

3.

Freyer, Gilles, Bin You, Richard J. Harvey, et al.. (2011). Validation of the predictive value of modeled hCG decline profiles in low-risk gestational trophoblastic neoplasia (GTN) treated with methotrexate (MTX).. Journal of Clinical Oncology. 29(15_suppl). 5099–5099. 1 indexed citations

4.

Tod, Margaret C. & W.J. MEREDITH. (1953). Treatment of Cancer of the Cervix Uteri—A Revised “Manchester Method”. British Journal of Radiology. 26(305). 252–257. 169 indexed citations

5.

Tod, Margaret C.. (1952). An assessment of the palliation of advanced cancer obtained by simple radiotherapeutic methods. Journal of the Faculty of Radiologists. 4(1). 28–43. 3 indexed citations

6.

Tod, Margaret C.. (1951). THE PLACE OF X‐RAY THERAPY IN THE TREATMENT OF MALIGNANT OVARIAN TUMOURS*. BJOG An International Journal of Obstetrics & Gynaecology. 58(3). 385–387. 5 indexed citations

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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