Simon Cudlip

3.3k citations
52 papers · 2.3k · h-index 24

Impact in

Papers in

Simon Cudlip

51 papers receiving 2.3k citations

Peers

Simon Cudlip
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Genetics 599
  • Radiology, Nuclear Medicine and Imaging 571
  • Neurology 368
  • Surgery 868
Replace T H Newton with:
T H Newton United States
Mark D. Krieger United States
James E. Boggan United States
J.J. Acebes Spain
Roy Thomas Daniel Switzerland
Clifford J. Eskey United States
Donald W. Kormos United States
Christian Rickert Germany
Zhen Wu China
Naoki Kageyama Japan
Simon Cudlip relative to T H Newton United States T H Newton's profile →
Citations per field
00.5×10×12.7×
T H Newton · 1×
Citations per year

Countries citing papers authored by Simon Cudlip

Since Specialization
Citations

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

Fields of papers citing papers by Simon Cudlip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simon Cudlip, 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 Simon Cudlip Line = papers co-authored together Simon Cudlip links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003406
2 2006319
3 1998150
4 2007123
5 2013100
6 200293
7 201181
8 200773
9 200272
10 199971
11 201764
12 200255
13 200251
14 200751
15 201147
16 201546
17 199836
18 201736
19 201235
20 201133

About Simon Cudlip

Simon Cudlip is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Genetics and Neurology, having authored 52 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (30 papers), Growth Hormone and Insulin-like Growth Factors (16 papers), Adrenal and Paraganglionic Tumors (10 papers), Glioma Diagnosis and Treatment (10 papers), Meningioma and schwannoma management (7 papers), Neuroendocrine Tumor Research Advances (5 papers), Vascular Malformations Diagnosis and Treatment (4 papers) and Head and Neck Surgical Oncology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Genetics (599 citations), Radiology, Nuclear Medicine and Imaging (571 citations), Neurology (368 citations) and Surgery (868 citations). Simon Cudlip has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Niki Karavitaki, John Wass, B. Anthony Bell, Christopher B. T. Adams, Franklyn A. Howe, P. Wilkins, James V. Byrne, John R. Griffiths, Mary M. Murphy and Ashley Grossman. Their work appears in journals such as European Journal of Endocrinology, Acta Neurochirurgica, The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology and Pituitary.

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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