Daniel Gillett

977 total citations
36 papers, 423 citations indexed

About

Daniel Gillett is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Daniel Gillett has authored 36 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 15 papers in Surgery and 12 papers in Genetics. Recurrent topics in Daniel Gillett's work include Pituitary Gland Disorders and Treatments (17 papers), Glioma Diagnosis and Treatment (12 papers) and Adrenal and Paraganglionic Tumors (12 papers). Daniel Gillett is often cited by papers focused on Pituitary Gland Disorders and Treatments (17 papers), Glioma Diagnosis and Treatment (12 papers) and Adrenal and Paraganglionic Tumors (12 papers). Daniel Gillett collaborates with scholars based in United Kingdom, Canada and United States. Daniel Gillett's co-authors include Mark Gurnell, Olympia Koulouri, Andrew Powlson, Waiel Bashari, Heok Cheow, Iosif Mendichovszky, Russell Senanayake, James MacFarlane, Richard Mannion and Angelos G. Kolias and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Journal of Bacteriology.

In The Last Decade

Daniel Gillett

34 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Gillett United Kingdom 11 218 134 106 87 58 36 423
Jinfen Wang China 13 106 0.5× 122 0.9× 34 0.3× 79 0.9× 41 0.7× 42 465
Nicola Zucchini Italy 14 82 0.4× 128 1.0× 22 0.2× 182 2.1× 26 0.4× 30 555
Peter Colloby United Kingdom 13 45 0.2× 148 1.1× 46 0.4× 78 0.9× 18 0.3× 33 473
Kei Onodera Japan 9 56 0.3× 155 1.2× 86 0.8× 80 0.9× 6 0.1× 45 433
Elizabeth Ogando‐Rivas United States 8 73 0.3× 95 0.7× 42 0.4× 55 0.6× 9 0.2× 21 250
Haoping Xu China 13 31 0.1× 107 0.8× 24 0.2× 40 0.5× 80 1.4× 39 428
A. Holly Johnson United States 12 85 0.4× 113 0.8× 13 0.1× 23 0.3× 27 0.5× 45 442
James R. Hackney United States 15 51 0.2× 53 0.4× 105 1.0× 108 1.2× 15 0.3× 75 642
Shijie Tang China 14 20 0.1× 79 0.6× 111 1.0× 85 1.0× 21 0.4× 35 650
Liu Ouyang China 10 33 0.2× 41 0.3× 17 0.2× 18 0.2× 70 1.2× 20 348

Countries citing papers authored by Daniel Gillett

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gillett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Gillett

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gillett. A scholar is included among the top collaborators of Daniel Gillett 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 Daniel Gillett. Daniel Gillett 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.
2.
Gillett, Daniel, Russell Senanayake, James MacFarlane, et al.. (2025). A Phase I/IIa Clinical Trial to Evaluate Safety and Adrenal Uptake of Para-Chloro-2-[18F]Fluoroethyletomidate in Healthy Volunteers and Patients with Primary Aldosteronism. Journal of Nuclear Medicine. 66(3). 434–440. 3 indexed citations
3.
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
4.
Gillett, Daniel, et al.. (2024). Estimation of kidney doses from [177Lu]Lu-DOTA-TATE PRRT using single time point post-treatment SPECT/CT. EJNMMI Physics. 11(1). 68–68. 2 indexed citations
5.
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
6.
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
7.
MacFarlane, James, Angelos G. Kolias, Iosif Mendichovszky, et al.. (2023). Novel imaging techniques in refractory pituitary adenomas. Pituitary. 26(3). 288–292. 5 indexed citations
8.
Bashari, Waiel, Daniel Gillett, James MacFarlane, et al.. (2022). Modern imaging in Cushing’s disease. Pituitary. 25(5). 709–712. 18 indexed citations
9.
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
10.
Honarmand, Kimia, Daniel Gillett, Karishma Desai, et al.. (2022). Clinical characteristics, multiorgan dysfunction and outcomes of patients with COVID-19: a prospective case series. CMAJ Open. 10(3). E675–E684. 4 indexed citations
11.
Bashari, Waiel, Russell Senanayake, James MacFarlane, et al.. (2021). Using Molecular Imaging to Enhance Decision Making in the Management of Pituitary Adenomas. Journal of Nuclear Medicine. 62(Supplement 2). 57S–62S. 9 indexed citations
12.
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
13.
Gillett, Daniel, et al.. (2021). 3D printing 18F radioactive phantoms for PET imaging. EJNMMI Physics. 8(1). 38–38. 12 indexed citations
14.
Farahi, Neda, et al.. (2021). Measurement of Eosinophil Kinetics In Vivo. Methods in molecular biology. 2241. 183–191. 1 indexed citations
15.
Senanayake, Russell, Daniel Gillett, James MacFarlane, et al.. (2021). New types of localization methods for adrenocorticotropic hormone-dependent Cushing’s syndrome. Best Practice & Research Clinical Endocrinology & Metabolism. 35(1). 101513–101513. 22 indexed citations
16.
Farahi, Neda, Daniel Gillett, Mark Southwood, et al.. (2020). Lesson of the month: novel method to quantify neutrophil uptake in early lung cancer using SPECT-CT. Thorax. 75(11). 1020–1023. 5 indexed citations
17.
MacFarlane, James, Waiel Bashari, Russell Senanayake, et al.. (2020). Advances in the Imaging of Pituitary Tumors. Endocrinology and Metabolism Clinics of North America. 49(3). 357–373. 26 indexed citations
18.
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
19.
Farahi, Neda, Linsey Porter, Daniel Gillett, et al.. (2014). Measurement of Eosinophil Kinetics in Healthy Volunteers. Methods in molecular biology. 1178. 165–176. 5 indexed citations
20.
Jones, Richard W., Robert Knight, Sal Rassam, et al.. (2003). An update of the use and outcomes of the new immunomodulatory agent CC-4047 (Actimid) in patients with relapsed/refractory myeloma.. Blood. 102(11). 7 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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