Claire Blesing

758 total citations
11 papers, 259 citations indexed

About

Claire Blesing is a scholar working on Surgery, Oncology and Epidemiology. According to data from OpenAlex, Claire Blesing has authored 11 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Oncology and 4 papers in Epidemiology. Recurrent topics in Claire Blesing's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Meningioma and schwannoma management (2 papers). Claire Blesing is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Meningioma and schwannoma management (2 papers). Claire Blesing collaborates with scholars based in United Kingdom and Australia. Claire Blesing's co-authors include Rachel Kerr, Leonard W. Seymour, David A. Anderson, Dorothy Halliday, D. Gareth Evans, Martin G. McCabe, John F. Golding, Allyson Parry, R. Jena and Shazia Afridi and has published in prestigious journals such as British Journal of Cancer, Nature Reviews Clinical Oncology and European Radiology.

In The Last Decade

Claire Blesing

11 papers receiving 252 citations

Peers

Claire Blesing

EPIDE

NEURO

ONCOL

PRM

SURGE

Dara Stein United States

Caterina Boso Italy

Ming Chao China

David Fitzpatrick Ireland

Tetsufumi Kojima Japan

Shashi Lele United States

Helen Clare Dearden United Kingdom

Yvonne Shutack United States

Masakazu Kojika Japan

Dominik Wiese Germany

Dara Stein United States

Claire Blesing

128 ×1.2

EPIDE

45 ×0.5

NEURO

82 ×1.2

ONCOL

61 ×1.4

PRM

54 ×1.3

SURGE

Citations per year, relative to Claire Blesing Claire Blesing (= 1×) peers Dara Stein

Countries citing papers authored by Claire Blesing

Since Specialization

Citations

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

Fields of papers citing papers by Claire Blesing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire Blesing

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

All Works

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11 of 11 papers shown

1.

Morris, Katrina, John F. Golding, Patrick Axon, et al.. (2016). Bevacizumab in neurofibromatosis type 2 (NF2) related vestibular schwannomas: a nationally coordinated approach to delivery and prospective evaluation. Neuro-Oncology Practice. 3(4). 281–289. 59 indexed citations

2.

Morris, Katrina, John F. Golding, Claire Blesing, et al.. (2016). Toxicity profile of bevacizumab in the UK Neurofibromatosis type 2 cohort. Journal of Neuro-Oncology. 131(1). 117–124. 40 indexed citations

3.

King, James P., Daniel H. Palmer, Philip J. Johnson, et al.. (2016). Sorafenib for the Treatment of Advanced Hepatocellular Cancer – a UK Audit. Clinical Oncology. 29(4). 256–262. 28 indexed citations

4.

Ma, Ruichong, et al.. (2013). Diagnostic and prognostic markers in gliomas – an update. British Journal of Neurosurgery. 27(3). 311–315. 14 indexed citations

5.

Gillies, Richard, Mark R. Middleton, Claire Blesing, et al.. (2012). Metabolic response at repeat PET/CT predicts pathological response to neoadjuvant chemotherapy in oesophageal cancer. European Radiology. 22(9). 2035–2043. 13 indexed citations

6.

Corrie, Pippa, Charles B. Wilson, Simon Bond, et al.. (2012). A randomised study evaluating the use of pyridoxine to avoid capecitabine dose modifications. British Journal of Cancer. 107(4). 585–587. 27 indexed citations

7.

Jeans, Alexander, Ian M. Frayling, Bharat Jasani, et al.. (2009). Cerebral primitive neuroectodermal tumor in an adult with a heterozygous MSH2 mutation. Nature Reviews Clinical Oncology. 6(5). 295–299. 4 indexed citations

8.

Safranek, Peter, et al.. (2007). Oxford experience with neoadjuvant chemotherapy and surgical resection for esophageal adenocarcinomas and squamous cell tumors. Diseases of the Esophagus. 21(3). 201–206. 8 indexed citations

9.

Corrie, Pippa, A Mayer, John M. Shaw, et al.. (2002). Phase II study to evaluate combining gemcitabine with flutamide in advanced pancreatic cancer patients. British Journal of Cancer. 87(7). 716–719. 14 indexed citations

10.

Anderson, David A., Rachel Kerr, Claire Blesing, & Leonard W. Seymour. (1997). Simultaneous gas chromatographic—mass spectrophotometric determination of α-fluoro-β-alanine and 5-fluorouracil in plasma. Journal of Chromatography B Biomedical Sciences and Applications. 688(1). 87–93. 34 indexed citations

11.

Blesing, Claire & Rachel Kerr. (1996). Intra-Hepatic Arterial Drug Delivery. Journal of drug targeting. 3(5). 341–347. 18 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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