John Connell

513 total citations
17 papers, 317 citations indexed

About

John Connell is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Hepatology. According to data from OpenAlex, John Connell has authored 17 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Biomedical Engineering and 5 papers in Hepatology. Recurrent topics in John Connell's work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), MRI in cancer diagnosis (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). John Connell is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (5 papers), MRI in cancer diagnosis (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). John Connell collaborates with scholars based in United Kingdom, United States and Singapore. John Connell's co-authors include Mark F. Lythgoe, Tammy L. Kalber, P. Stephen Patrick, Yichao Yu, Nicola R. Sibson, Katherine A. Vallis, Bart Cornelissen, Leonard W. Seymour, Alastair Hamilton and Daniel C. Anthony and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Nanoscale and Magnetic Resonance in Medicine.

In The Last Decade

John Connell

17 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Connell United Kingdom 9 153 75 73 70 54 17 317
Xiangdong Xu China 13 176 1.2× 130 1.7× 157 2.2× 48 0.7× 79 1.5× 31 430
Ruimeng Yang China 15 88 0.6× 117 1.6× 80 1.1× 66 0.9× 59 1.1× 28 457
Michael Dobosz Switzerland 8 164 1.1× 66 0.9× 46 0.6× 46 0.7× 88 1.6× 13 336
Mohammed Qutaish United States 10 144 0.9× 96 1.3× 78 1.1× 28 0.4× 144 2.7× 18 422
Haoqiang He China 14 87 0.6× 229 3.1× 48 0.7× 103 1.5× 54 1.0× 36 487
Péter Várallyay Hungary 7 134 0.9× 84 1.1× 161 2.2× 55 0.8× 73 1.4× 13 407
Evan M. Johnson United States 10 105 0.7× 134 1.8× 30 0.4× 68 1.0× 82 1.5× 19 412
Stefan Zwick Germany 14 107 0.7× 339 4.5× 46 0.6× 64 0.9× 97 1.8× 15 569
Amit Singnurkar Canada 10 110 0.7× 151 2.0× 23 0.3× 112 1.6× 26 0.5× 18 369
A. Wunder Germany 9 96 0.6× 115 1.5× 79 1.1× 31 0.4× 120 2.2× 23 380

Countries citing papers authored by John Connell

Since Specialization
Citations

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

Fields of papers citing papers by John Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Connell

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

All Works

17 of 17 papers shown
1.
Pignolo, Robert J., et al.. (2025). Opportunistic assessment of osteoporosis using hip and pelvic X-rays with OsteoSight™: validation of an AI-based tool in a US population. Osteoporosis International. 36(6). 1053–1060. 1 indexed citations
2.
Welsh, Fenella K.S., et al.. (2024). Novel multiparametric MRI detects improved future liver remnant quality post-dual vein embolization. HPB. 26(6). 764–771. 2 indexed citations
3.
4.
Welsh, Fenella K.S., John Connell, Matt Kelly, et al.. (2022). Precision medicine for liver tumours with quantitative MRI and whole genome sequencing (Precision1 trial): study protocol for observational cohort study. BMJ Open. 12(4). e057163–e057163. 2 indexed citations
5.
Payne, Christopher J., Yichao Yu, John Connell, et al.. (2022). Image‐Guided Magnetic Thermoseed Navigation and Tumor Ablation Using a Magnetic Resonance Imaging System (Adv. Sci. 12/2022). Advanced Science. 9(12). 1 indexed citations
6.
Payne, Christopher J., Yichao Yu, John Connell, et al.. (2022). Image‐Guided Magnetic Thermoseed Navigation and Tumor Ablation Using a Magnetic Resonance Imaging System. Advanced Science. 9(12). e2105333–e2105333. 12 indexed citations
7.
Mojtahed, Amirkasra, Luis A. Núñez, John Connell, et al.. (2021). Repeatability and reproducibility of deep-learning-based liver volume and Couinaud segment volume measurement tool. Abdominal Radiology. 47(1). 143–151. 20 indexed citations
8.
Welsh, Fenella K.S., John Connell, Matt Kelly, et al.. (2021). Quantitative multiparametric MRI allows safe surgical planning in patients undergoing liver resection for colorectal liver metastases: report of two patients. BJR|case reports. 7(3). 20200172–20200172. 3 indexed citations
9.
Thin, May Zaw, John Connell, P. Stephen Patrick, et al.. (2020). Multi-modal imaging probe for assessing the efficiency of stem cell delivery to orthotopic breast tumours. Nanoscale. 12(31). 16570–16585. 18 indexed citations
10.
Connell, John, Christopher J. Payne, P. Stephen Patrick, et al.. (2020). Scalable magnet geometries enhance tumour targeting of magnetic nano-carriers. Materials & Design. 191. 108610–108610. 16 indexed citations
11.
Ogunlade, Olumide, John Connell, Jennifer L. Huang, et al.. (2018). In vivo three-dimensional photoacoustic imaging of the renal vasculature in preclinical rodent models. American Journal of Physiology-Renal Physiology. 314(6). F1145–F1153. 32 indexed citations
12.
Ramasawmy, Rajiv, James M. O’Callaghan, John Connell, et al.. (2018). Noninvasive quantification of oxygen saturation in the portal and hepatic veins in healthy mice and those with colorectal liver metastases using QSM MRI. Magnetic Resonance in Medicine. 81(4). 2666–2675. 4 indexed citations
13.
Hsu, Benedict You Wei, Michael Ng, Aaron Tan, et al.. (2016). pH‐Activatable MnO‐Based Fluorescence and Magnetic Resonance Bimodal Nanoprobe for Cancer Imaging. Advanced Healthcare Materials. 5(6). 721–729. 42 indexed citations
14.
Hsu, Benedict You Wei, Michael Ng, Aaron Tan, et al.. (2016). Cancer Imaging: pH‐Activatable MnO‐Based Fluorescence and Magnetic Resonance Bimodal Nanoprobe for Cancer Imaging (Adv. Healthcare Mater. 6/2016). Advanced Healthcare Materials. 5(6). 720–720. 1 indexed citations
15.
Connell, John, P. Stephen Patrick, Yichao Yu, Mark F. Lythgoe, & Tammy L. Kalber. (2015). Advanced Cell Therapies: Targeting, Tracking and Actuation of Cells with Magnetic Particles. Regenerative Medicine. 10(6). 757–772. 65 indexed citations
16.
Connell, John, Bart Cornelissen, Katherine A. Vallis, et al.. (2013). Selective Permeabilization of the Blood–Brain Barrier at Sites of Metastasis. JNCI Journal of the National Cancer Institute. 105(21). 1634–1643. 69 indexed citations
17.
Serres, Sébastien, Chris Martin, Manuel Sarmiento Soto, et al.. (2013). Structural and functional effects of metastases in rat brain determined by multimodal MRI. International Journal of Cancer. 134(4). 885–896. 26 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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