Heok Cheow

1.2k total citations
39 papers, 597 citations indexed

About

Heok Cheow is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Heok Cheow has authored 39 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 17 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Epidemiology. Recurrent topics in Heok Cheow's work include Adrenal and Paraganglionic Tumors (10 papers), Pituitary Gland Disorders and Treatments (9 papers) and Neuroendocrine Tumor Research Advances (7 papers). Heok Cheow is often cited by papers focused on Adrenal and Paraganglionic Tumors (10 papers), Pituitary Gland Disorders and Treatments (9 papers) and Neuroendocrine Tumor Research Advances (7 papers). Heok Cheow collaborates with scholars based in United Kingdom, Germany and Spain. Heok Cheow's co-authors include Mark Gurnell, Andrew Powlson, Susan Freeman, Jean Marie U‐King‐Im, Olympia Koulouri, Iosif Mendichovszky, Daniel Gillett, Ashley M. Groves, Richard Mannion and Waiel Bashari and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and American Journal of Roentgenology.

In The Last Decade

Heok Cheow

38 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heok Cheow United Kingdom 15 248 232 133 115 89 39 597
Takuro Isoda Japan 14 116 0.5× 80 0.3× 302 2.3× 61 0.5× 55 0.6× 55 618
Minako Katayama Japan 15 521 2.1× 152 0.7× 240 1.8× 72 0.6× 47 0.5× 46 1.2k
Halil Kisacik Türkiye 14 220 0.9× 55 0.2× 126 0.9× 162 1.4× 237 2.7× 42 916
M. Grimaux France 12 77 0.3× 97 0.4× 63 0.5× 63 0.5× 196 2.2× 16 753
Ralf W. Sprengers Netherlands 14 489 2.0× 160 0.7× 135 1.0× 55 0.5× 66 0.7× 31 794
Yavuz M. Bilgin Netherlands 13 142 0.6× 67 0.3× 24 0.2× 64 0.6× 72 0.8× 32 604
Petra Hoppmann Germany 22 574 2.3× 74 0.3× 147 1.1× 105 0.9× 32 0.4× 66 1.4k
M. Schuster United States 14 108 0.4× 33 0.1× 60 0.5× 36 0.3× 106 1.2× 26 534
Socrates Korovesis Greece 16 391 1.6× 39 0.2× 260 2.0× 90 0.8× 24 0.3× 44 1.1k
J Soria France 16 153 0.6× 108 0.5× 43 0.3× 92 0.8× 20 0.2× 49 820

Countries citing papers authored by Heok Cheow

Since Specialization
Citations

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

Fields of papers citing papers by Heok Cheow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heok Cheow

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

All Works

20 of 20 papers shown
1.
MacFarlane, James, Olympia Koulouri, Daniel Gillett, et al.. (2024). Real-world experience with 11C-methionine positron emission tomography in the management of acromegaly. European Journal of Endocrinology. 190(4). 307–313. 7 indexed citations
3.
Gillett, Daniel, James MacFarlane, Waiel Bashari, et al.. (2023). Molecular Imaging of Pituitary Tumors. Seminars in Nuclear Medicine. 53(4). 530–538. 7 indexed citations
4.
Gillett, Daniel, James MacFarlane, Merel van der Meulen, et al.. (2023). Development of a bespoke phantom to optimize molecular PET imaging of pituitary tumors. EJNMMI Physics. 10(1). 34–34. 3 indexed citations
6.
Gillett, Daniel, Russell Senanayake, James MacFarlane, et al.. (2022). Localization of TSH-secreting pituitary adenoma using 11C-methionine image subtraction. EJNMMI Research. 12(1). 26–26. 10 indexed citations
7.
Gillett, Daniel, Waiel Bashari, Russell Senanayake, et al.. (2021). Methods of 3D printing models of pituitary tumors. SHILAP Revista de lepidopterología. 7(1). 24–24. 17 indexed citations
8.
Weir‐McCall, Jonathan, Scott Harris, Kenneth A. Miles, et al.. (2020). Impact of solitary pulmonary nodule size on qualitative and quantitative assessment using 18F-fluorodeoxyglucose PET/CT: the SPUTNIK trial. European Journal of Nuclear Medicine and Molecular Imaging. 48(5). 1560–1569. 12 indexed citations
9.
Bashari, Waiel, Russell Senanayake, Antía Fernández‐Pombo, et al.. (2019). Modern imaging of pituitary adenomas. Best Practice & Research Clinical Endocrinology & Metabolism. 33(2). 101278–101278. 42 indexed citations
10.
Casey, Ruth, Deborah Saunders, Benjamin Challis, et al.. (2017). Radiological surveillance in multiple endocrine neoplasia type 1: a double-edged sword?. Endocrine Connections. 6(3). 151–158. 16 indexed citations
11.
Bird, Nicholas J., et al.. (2017). Optimization of PET/CT image quality using the GE ‘Sharp IR’ point-spread function reconstruction algorithm. Nuclear Medicine Communications. 38(6). 471–479. 14 indexed citations
12.
Koulouri, Olympia, Andrew Hoole, Patrick English, et al.. (2016). Localisation of an occult thyrotropinoma with 11 C-methionine PET-CT before and after somatostatin analogue therapy. The Lancet Diabetes & Endocrinology. 4(12). 1050–1050. 19 indexed citations
13.
Silva, Nadeera de, Anna Paterson, Maria Secrier, et al.. (2015). Molecular effects of Lapatinib in the treatment of HER2 overexpressing oesophago-gastric adenocarcinoma. British Journal of Cancer. 113(9). 1305–1312. 17 indexed citations
14.
Cheow, Heok, Sonal Shankar, Katy Szczepura, et al.. (2009). Does P-glycoprotein have a role in the lung clearances of inhaled 99mTc-sestamibi and 99mTc-tetrofosmin?. Nuclear Medicine Communications. 30(8). 617–621. 3 indexed citations
15.
U‐King‐Im, Jean Marie, et al.. (2008). Quality of CT pulmonary angiography for suspected pulmonary embolus in pregnancy. European Radiology. 18(12). 2709–2715. 69 indexed citations
16.
Cheow, Heok, P. Set, Susan Robinson, & Kottekkattu Balan. (2008). The role of bone scan in the diagnosis of carpal fracture in children. Journal of Pediatric Orthopaedics B. 17(4). 165–170. 3 indexed citations
17.
Beadsmoore, Clare, et al.. (2006). Healthy passive cigarette smokers have increased pulmonary alveolar permeability. Nuclear Medicine Communications. 28(2). 75–77. 22 indexed citations
18.
Groves, Ashley M., Clare Beadsmoore, Heok Cheow, et al.. (2006). Can 16-detector multislice CT exclude skeletal lesions during tumour staging? Implications for the cancer patient. European Radiology. 16(5). 1066–1073. 33 indexed citations
19.
Groves, Ashley M., et al.. (2004). 16-Detector multislice CT–skeletal scintigraphy image co-registration. Nuclear Medicine Communications. 25(11). 1151–1155. 13 indexed citations
20.
Cheow, Heok, John Evans, Katy Szczepura, et al.. (2004). Quantification of disease activity in patients undergoing leucocyte scintigraphy for suspected inflammatory bowel disease. European Journal of Nuclear Medicine and Molecular Imaging. 32(3). 329–337. 6 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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