Daniel Rawluk

1.6k citations
50 papers · 1.1k indexed · h-index 16

Daniel Rawluk

47 papers receiving 1.0k citations

Peers

Daniel Rawluk
Comparison fields: 5 of 82
  • Neurology 488
  • Otorhinolaryngology 123
  • Endocrinology, Diabetes and Metabolism 227
  • Genetics 106
  • Epidemiology 302
Replace J. Auque with:
J. Auque France
Selçuk Yılmazlar Türkiye
Moncef Berhouma France
Fabrice Bonneville France
Behrooz Azar‐Kia United States
Wayne S. Cail United States
Anthony M. Alleman United States
Hussam Abou‐Al‐Shaar United States
Marc Rosen United States
J. Punt United Kingdom
Daniel Rawluk relative to J. Auque France J. Auque's profile →
Citations per field
00.5×3.3×
J. Auque · 1×
Citations per year

Countries citing papers authored by Daniel Rawluk

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rawluk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20234
3 20211
4 20215
5 20201
6 20163
7 201521
8 201320
9 20113
10 200911
11 20087
12
Hypothalamic-pituitary dysfunction following irradiation of non-pituitary brain tumours in adults
20061
13 200510
14
The anatomical distribution of cerebral gliomas in mobile phone users.
20037
15 200168
16 200021
17 199916
18 19967
19 19901
20 198817

About Daniel Rawluk

Daniel Rawluk is a scholar working on Neurology, Neurology and Epidemiology, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Meningioma and schwannoma management (12 papers), Intracranial Aneurysms: Treatment and Complications (8 papers), Neurofibromatosis and Schwannoma Cases (8 papers), Pituitary Gland Disorders and Treatments (7 papers), Vascular Malformations Diagnosis and Treatment (7 papers), Neurosurgical Procedures and Complications (5 papers), Cerebrospinal fluid and hydrocephalus (5 papers) and Traumatic Brain Injury and Neurovascular Disturbances (5 papers). The work is most often cited by research in Neurology (488 citations), Otorhinolaryngology (123 citations) and Endocrinology, Diabetes and Metabolism (227 citations). Daniel Rawluk has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include William Tormey, Mark Sherlock, Michael Walsh, Eoin O’Sullivan, Donncha F. O’Brien, Zulfiqar Ali, Khalid Abubaker, Ciarán Bolger, Rachel Crowley and John Caird. Their work appears in journals such as World Neurosurgery, Acta Neurochirurgica, The Journal of Clinical Endocrinology & Metabolism, The Journal of Laryngology & Otology and Spine.

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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