Gabrielle Baxter

675 total citations
12 papers, 364 citations indexed

About

Gabrielle Baxter is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Gabrielle Baxter has authored 12 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Artificial Intelligence. Recurrent topics in Gabrielle Baxter's work include MRI in cancer diagnosis (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (4 papers). Gabrielle Baxter is often cited by papers focused on MRI in cancer diagnosis (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (4 papers). Gabrielle Baxter collaborates with scholars based in United Kingdom, Portugal and Austria. Gabrielle Baxter's co-authors include Fiona J. Gilbert, Sarah Hickman, Martin J. Graves, Andrew J. Patterson, James Mackay, Ramona Woitek, Elizabeth Le, Yu Ri Im, Angelica I. Avilés-Rivero and Simon Bond and has published in prestigious journals such as Radiology, British Journal of Cancer and European Radiology.

In The Last Decade

Gabrielle Baxter

12 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gabrielle Baxter United Kingdom	8	274	110	72	72	40	12	364
Luoting Zhuang United States	2	170 0.6×	157 1.4×	46 0.6×	69 1.0×	34 0.8×	5	336
Jenika Karcich United States	11	387 1.4×	301 2.7×	69 1.0×	47 0.7×	45 1.1×	12	466
Carolina Rossi Saccarelli United States	8	244 0.9×	107 1.0×	46 0.6×	25 0.3×	51 1.3×	14	305
Lorenza Meneghetti Italy	12	178 0.6×	127 1.2×	97 1.3×	45 0.6×	48 1.2×	26	303
Paula Toro United States	8	125 0.5×	92 0.8×	56 0.8×	21 0.3×	58 1.4×	27	239
Zhuangsheng Liu China	10	269 1.0×	71 0.6×	133 1.8×	15 0.2×	35 0.9×	17	334
Zhi-Rui Chuan China	4	250 0.9×	152 1.4×	26 0.4×	16 0.2×	38 0.9×	6	293
Gaia Ninatti Italy	8	182 0.7×	49 0.4×	72 1.0×	20 0.3×	37 0.9×	18	249
Mathijn de Jong Netherlands	5	99 0.4×	86 0.8×	82 1.1×	32 0.4×	57 1.4×	7	229
Veronica Magni Italy	9	136 0.5×	77 0.7×	124 1.7×	14 0.2×	63 1.6×	12	253

Countries citing papers authored by Gabrielle Baxter

Since Specialization

Citations

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

Fields of papers citing papers by Gabrielle Baxter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabrielle Baxter

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

All Works

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12 of 12 papers shown

Manavaki, Roido, Jodi L. Miller, Corradina Caracò, et al.. (2023). PET/MRI of hypoxia and vascular function in ER-positive breast cancer: correlations with immunohistochemistry. European Radiology. 33(9). 6168–6178. 3 indexed citations

Surov, Alexey, Maciej Pech, Hans‐Jonas Meyer, et al.. (2022). Evaluation of pretreatment ADC values as predictors of treatment response to neoadjuvant chemotherapy in patients with breast cancer - a multicenter study. Cancer Imaging. 22(1). 68–68. 5 indexed citations

James, Andrew D., Joshua Kaggie, L. F. Wiggins, et al.. (2022). Sodium accumulation in breast cancer predicts malignancy and treatment response. British Journal of Cancer. 127(2). 337–349. 28 indexed citations

Hickman, Sarah, Ramona Woitek, Elizabeth Le, et al.. (2021). Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-Analysis. Radiology. 302(1). 88–104. 82 indexed citations

Gilbert, Fiona J., Sarah Hickman, Gabrielle Baxter, et al.. (2021). Opportunities in cancer imaging: risk-adapted breast imaging in screening. Clinical Radiology. 76(10). 763–773. 5 indexed citations

Hickman, Sarah, Gabrielle Baxter, & Fiona J. Gilbert. (2021). Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations. British Journal of Cancer. 125(1). 15–22. 68 indexed citations

Weir‐McCall, Jonathan, Andrew Clegg, James Mackay, et al.. (2020). Dynamic contrast–enhanced computed tomography for the diagnosis of solitary pulmonary nodules: a systematic review and meta-analysis. European Radiology. 30(6). 3310–3323. 11 indexed citations

Manavaki, Roido, Ramona Woitek, Turid Torheim, et al.. (2020). Hypoxia and perfusion in breast cancer: simultaneous assessment using PET/MR imaging. European Radiology. 31(1). 333–344. 30 indexed citations

Baxter, Gabrielle, et al.. (2020). A meta-analysis comparing the diagnostic performance of abbreviated MRI and a full diagnostic protocol in breast cancer. Clinical Radiology. 76(2). 154.e23–154.e32. 46 indexed citations

10.

Baxter, Gabrielle, et al.. (2020). Improving the image quality of DWI in breast cancer: comparison of multi-shot DWI using multiplexed sensitivity encoding to conventional single-shot echo-planar imaging DWI. British Journal of Radiology. 94(1119). 20200427–20200427. 19 indexed citations

11.

Baxter, Gabrielle, Martin J. Graves, Fiona J. Gilbert, & Andrew J. Patterson. (2019). A Meta-analysis of the Diagnostic Performance of Diffusion MRI for Breast Lesion Characterization. Radiology. 291(3). 632–641. 66 indexed citations

12.

Clasper, Steven, et al.. (2013). Is Lymphatic Endoglin Expression a Risk Marker for Breast Cancer Metastasis? Results of a Pilot Study. Lymphatic Research and Biology. 11(1). 20–25. 1 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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