Daniel Gillett

1.1k citations
41 papers · 456 · h-index 12

Impact in

Papers in

Daniel Gillett

34 papers receiving 440 citations

Peers

Daniel Gillett
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 236
  • Genetics 83
  • Management of Technology and Innovation 23
  • Epidemiology 76
  • Industrial and Manufacturing Engineering 25
Replace A. Holly Johnson with:
A. Holly Johnson United States
Nicola Zucchini Italy
Peter Colloby United Kingdom
James R. Hackney United States
Jinfen Wang China
Kei Onodera Japan
Yoichi Nonaka Japan
Shijie Tang China
Ferenc Kiss Hungary
Jagdish K. Dhingra United States
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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-authors

The 25 scholars most cited alongside Daniel Gillett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Gillett Line = papers co-authored together Daniel Gillett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201570
2 199349
3 201948
4 201633
5 202028
6 202125
7 202019
8 201919
9 202218
10 202117
11 202113
12 202212
13 202111
14 202311
15 20209
16 20249
17 20189
18
An update of the use and outcomes of the new immunomodulatory agent CC-4047 (Actimid) in patients with relapsed/refractory myeloma.
20037
19 20217
20 20235

About Daniel Gillett

Daniel Gillett is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 456 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (21 papers), Glioma Diagnosis and Treatment (13 papers), Adrenal and Paraganglionic Tumors (10 papers), Asthma and respiratory diseases (3 papers), Medical Imaging Techniques and Applications (2 papers), Hormonal Regulation and Hypertension (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (236 citations), Genetics (83 citations), Management of Technology and Innovation (23 citations), Epidemiology (76 citations) and Industrial and Manufacturing Engineering (25 citations). Daniel Gillett has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Mark Gurnell, Olympia Koulouri, Andrew Powlson, Waiel Bashari, Heok Cheow, Russell Senanayake, James MacFarlane, Iosif Mendichovszky, Richard Mannion and Angelos G. Kolias. Their work appears in journals such as Journal of Nuclear Medicine, EJNMMI Physics, Thorax, Pituitary and EJNMMI Research.

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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