C. Johnston

881 total citations
9 papers, 701 citations indexed

About

C. Johnston is a scholar working on Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, C. Johnston has authored 9 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Cancer Research and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in C. Johnston's work include Global Cancer Incidence and Screening (3 papers), Breast Cancer Treatment Studies (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). C. Johnston is often cited by papers focused on Global Cancer Incidence and Screening (3 papers), Breast Cancer Treatment Studies (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). C. Johnston collaborates with scholars based in United Kingdom, Austria and Australia. C. Johnston's co-authors include C. Round, R Sainsbury, Raymond Haward, Leah Rider, Bob Haward, J R C Sainsbury, Peter J. Selby, Surita Dalal, Valérie Laurence and D. C. Mangham and has published in prestigious journals such as The Lancet, Clinical Cancer Research and British Journal of Cancer.

In The Last Decade

C. Johnston

9 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. Johnston United Kingdom	6	432	203	136	99	89	9	701
Joan S. McClure United States	13	499 1.2×	162 0.8×	209 1.5×	109 1.1×	114 1.3×	25	809
Robin Stuart‐Harris Australia	17	415 1.0×	129 0.6×	162 1.2×	71 0.7×	130 1.5×	32	725
Janine Bell United Kingdom	10	423 1.0×	158 0.8×	113 0.8×	182 1.8×	113 1.3×	11	1.0k
Roman Shyyan United States	7	618 1.4×	167 0.8×	191 1.4×	96 1.0×	69 0.8×	8	981
Ray Snyder Australia	10	652 1.5×	251 1.2×	170 1.3×	43 0.4×	81 0.9×	14	843
G Gill Australia	8	445 1.0×	135 0.7×	181 1.3×	214 2.2×	81 0.9×	14	809
C.J. Twelves United Kingdom	21	746 1.7×	219 1.1×	264 1.9×	84 0.8×	70 0.8×	55	987
Molly Gabel United States	11	265 0.6×	143 0.7×	97 0.7×	54 0.5×	68 0.8×	17	480
Katia Khoury United States	11	403 0.9×	217 1.1×	133 1.0×	56 0.6×	111 1.2×	31	725
Antonella Venturino Italy	14	533 1.2×	140 0.7×	279 2.1×	133 1.3×	83 0.9×	57	953

Countries citing papers authored by C. Johnston

Since Specialization

Citations

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

Fields of papers citing papers by C. Johnston

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Johnston

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Savage, Richard S., Richard D Neal, C. Johnston, et al.. (2022). Development and validation of multivariable machine learning algorithms to predict risk of cancer in symptomatic patients referred urgently from primary care: a diagnostic accuracy study. BMJ Open. 12(4). e053590–e053590. 4 indexed citations

2.

Silberstein, Leslie E., et al.. (2008). Pituitary apoplexy during induction chemotherapy for acute myeloid leukaemia. British Journal of Haematology. 143(2). 151–151. 6 indexed citations

3.

Jackson, David, Rachel A. Craven, Richard Hutson, et al.. (2007). Proteomic Profiling Identifies Afamin as a Potential Biomarker for Ovarian Cancer. Clinical Cancer Research. 13(24). 7370–7379. 82 indexed citations

4.

Dalal, Surita, D. C. Mangham, R. J. Grimer, et al.. (2005). Vascular Endothelial Growth Factor: A Therapeutic Target for Tumors of the Ewing's Sarcoma Family. Clinical Cancer Research. 11(6). 2364–2378. 97 indexed citations

5.

Velikova, Galina, Laura Booth, C. Johnston, D Forman, & Peter J. Selby. (2004). Breast cancer outcomes in South Asian population of West Yorkshire. British Journal of Cancer. 90(10). 1926–1932. 51 indexed citations

6.

Johnston, C., et al.. (2001). Surgeon workload and survival of breast cancer patients. European Journal of Cancer. 37. 6–6. 1 indexed citations

7.

Sainsbury, J R C, C. Johnston, & Bob Haward. (1999). Effect on survival of delays in referral of patients with breast-cancer symptoms: a retrospective analysis. The Lancet. 353(9159). 1132–1135. 161 indexed citations

8.

Sainsbury, R, Raymond Haward, C. Round, Leah Rider, & C. Johnston. (1995). Influence of clinician workload and patterns of treatment on survival from breast cancer. The Lancet. 345(8960). 1265–1270. 298 indexed citations

9.

Johnston, C., et al.. (1983). Plasmapheresis treatment of insulin dependent diabetes mellitus in children. BMJ. 286(6366). 720.3–720. 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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